[{"intvolume":"       186","doi":"10.1007/s10955-021-02851-w","isi":1,"issue":"1","acknowledgement":"Financial support through the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme Grant Agreement No. 694227 (R.S.) and the Maria Skłodowska-Curie Grant Agreement No. 665386 (K.M.) is gratefully acknowledged. Open access funding provided by Institute of Science and Technology (IST Austria).","status":"public","has_accepted_license":"1","quality_controlled":"1","article_processing_charge":"Yes (via OA deal)","related_material":{"record":[{"relation":"dissertation_contains","id":"11473","status":"public"}]},"article_number":"5","type":"journal_article","author":[{"last_name":"Mysliwy","full_name":"Mysliwy, Krzysztof","id":"316457FC-F248-11E8-B48F-1D18A9856A87","first_name":"Krzysztof"},{"orcid":"0000-0002-6781-0521","full_name":"Seiringer, Robert","id":"4AFD0470-F248-11E8-B48F-1D18A9856A87","first_name":"Robert","last_name":"Seiringer"}],"publication_status":"published","oa":1,"_id":"10564","oa_version":"Published Version","file_date_updated":"2022-02-02T14:24:41Z","volume":186,"department":[{"_id":"RoSe"}],"citation":{"mla":"Mysliwy, Krzysztof, and Robert Seiringer. “Polaron Models with Regular Interactions at Strong Coupling.” <i>Journal of Statistical Physics</i>, vol. 186, no. 1, 5, Springer Nature, 2022, doi:<a href=\"https://doi.org/10.1007/s10955-021-02851-w\">10.1007/s10955-021-02851-w</a>.","ista":"Mysliwy K, Seiringer R. 2022. Polaron models with regular interactions at strong coupling. Journal of Statistical Physics. 186(1), 5.","ieee":"K. Mysliwy and R. Seiringer, “Polaron models with regular interactions at strong coupling,” <i>Journal of Statistical Physics</i>, vol. 186, no. 1. Springer Nature, 2022.","chicago":"Mysliwy, Krzysztof, and Robert Seiringer. “Polaron Models with Regular Interactions at Strong Coupling.” <i>Journal of Statistical Physics</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1007/s10955-021-02851-w\">https://doi.org/10.1007/s10955-021-02851-w</a>.","short":"K. Mysliwy, R. Seiringer, Journal of Statistical Physics 186 (2022).","ama":"Mysliwy K, Seiringer R. Polaron models with regular interactions at strong coupling. <i>Journal of Statistical Physics</i>. 2022;186(1). doi:<a href=\"https://doi.org/10.1007/s10955-021-02851-w\">10.1007/s10955-021-02851-w</a>","apa":"Mysliwy, K., &#38; Seiringer, R. (2022). Polaron models with regular interactions at strong coupling. <i>Journal of Statistical Physics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s10955-021-02851-w\">https://doi.org/10.1007/s10955-021-02851-w</a>"},"project":[{"_id":"25C6DC12-B435-11E9-9278-68D0E5697425","grant_number":"694227","name":"Analysis of quantum many-body systems","call_identifier":"H2020"},{"name":"International IST Doctoral Program","call_identifier":"H2020","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"name":"IST Austria Open Access Fund","_id":"B67AFEDC-15C9-11EA-A837-991A96BB2854"}],"arxiv":1,"publisher":"Springer Nature","external_id":{"isi":["000726275600001"],"arxiv":["2106.09328"]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","article_type":"original","scopus_import":"1","year":"2022","day":"01","title":"Polaron models with regular interactions at strong coupling","date_created":"2021-12-19T23:01:32Z","publication":"Journal of Statistical Physics","date_updated":"2026-04-07T14:14:51Z","ddc":["530"],"ec_funded":1,"month":"01","date_published":"2022-01-01T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"corr_author":"1","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0022-4715"],"eissn":["1572-9613"]},"abstract":[{"text":"We study a class of polaron-type Hamiltonians with sufficiently regular form factor in the interaction term. We investigate the strong-coupling limit of the model, and prove suitable bounds on the ground state energy as a function of the total momentum of the system. These bounds agree with the semiclassical approximation to leading order. The latter corresponds here to the situation when the particle undergoes harmonic motion in a potential well whose frequency is determined by the corresponding Pekar functional. We show that for all such models the effective mass diverges in the strong coupling limit, in all spatial dimensions. Moreover, for the case when the phonon dispersion relation grows at least linearly with momentum, the bounds result in an asymptotic formula for the effective mass quotient, a quantity generalizing the usual notion of the effective mass. This asymptotic form agrees with the semiclassical Landau–Pekar formula and can be regarded as the first rigorous confirmation, in a slightly weaker sense than usually considered, of the validity of the semiclassical formula for the effective mass.","lang":"eng"}],"file":[{"file_name":"2022_JournalStatPhys_Myśliwy.pdf","creator":"cchlebak","checksum":"da03f6d293c4b9802091bce9471b1d29","file_id":"10716","success":1,"content_type":"application/pdf","access_level":"open_access","date_created":"2022-02-02T14:24:41Z","date_updated":"2022-02-02T14:24:41Z","relation":"main_file","file_size":434957}]},{"file_date_updated":"2022-08-25T09:33:31Z","_id":"11945","oa":1,"oa_version":"Published Version","project":[{"_id":"267F75D8-B435-11E9-9278-68D0E5697425","name":"Modulating microglia through G protein-coupled receptor (GPCR) signaling"}],"citation":{"ieee":"R. Schulz, “Chimeric G protein-coupled receptors mimic distinct signaling pathways and modulate microglia function,” Institute of Science and Technology Austria, 2022.","ista":"Schulz R. 2022. Chimeric G protein-coupled receptors mimic distinct signaling pathways and modulate microglia function. Institute of Science and Technology Austria.","mla":"Schulz, Rouven. <i>Chimeric G Protein-Coupled Receptors Mimic Distinct Signaling Pathways and Modulate Microglia Function</i>. Institute of Science and Technology Austria, 2022, doi:<a href=\"https://doi.org/10.15479/at:ista:11945\">10.15479/at:ista:11945</a>.","ama":"Schulz R. Chimeric G protein-coupled receptors mimic distinct signaling pathways and modulate microglia function. 2022. doi:<a href=\"https://doi.org/10.15479/at:ista:11945\">10.15479/at:ista:11945</a>","short":"R. Schulz, Chimeric G Protein-Coupled Receptors Mimic Distinct Signaling Pathways and Modulate Microglia Function, Institute of Science and Technology Austria, 2022.","apa":"Schulz, R. (2022). <i>Chimeric G protein-coupled receptors mimic distinct signaling pathways and modulate microglia function</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:11945\">https://doi.org/10.15479/at:ista:11945</a>","chicago":"Schulz, Rouven. “Chimeric G Protein-Coupled Receptors Mimic Distinct Signaling Pathways and Modulate Microglia Function.” Institute of Science and Technology Austria, 2022. <a href=\"https://doi.org/10.15479/at:ista:11945\">https://doi.org/10.15479/at:ista:11945</a>."},"department":[{"_id":"GradSch"},{"_id":"SaSi"}],"publisher":"Institute of Science and Technology Austria","acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"}],"doi":"10.15479/at:ista:11945","status":"public","has_accepted_license":"1","related_material":{"record":[{"id":"11995","status":"public","relation":"dissertation_contains"}]},"supervisor":[{"last_name":"Siegert","orcid":"0000-0001-8635-0877","full_name":"Siegert, Sandra","id":"36ACD32E-F248-11E8-B48F-1D18A9856A87","first_name":"Sandra"}],"OA_place":"publisher","article_processing_charge":"No","author":[{"orcid":"0000-0001-5297-733X","full_name":"Schulz, Rouven","first_name":"Rouven","id":"4C5E7B96-F248-11E8-B48F-1D18A9856A87","last_name":"Schulz"}],"publication_status":"published","type":"dissertation","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"degree_awarded":"PhD","language":[{"iso":"eng"}],"alternative_title":["ISTA Thesis"],"corr_author":"1","file":[{"relation":"main_file","date_updated":"2022-08-25T08:59:57Z","file_size":28079331,"access_level":"open_access","date_created":"2022-08-25T08:59:57Z","checksum":"61b1b666a210ff7cdd0e95ea75207a13","creator":"rschulz","file_name":"Thesis_Rouven_Schulz_2022_final.pdf","content_type":"application/pdf","file_id":"11970","success":1},{"creator":"rschulz","checksum":"2b8f95ea1c134dbdb927b41b1dbeeeb5","file_name":"Thesis_Rouven_Schulz_2022_final.docx","file_id":"11971","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","date_created":"2022-08-25T09:00:11Z","access_level":"closed","relation":"source_file","date_updated":"2022-08-25T09:33:31Z","file_size":27226963}],"abstract":[{"lang":"eng","text":"G protein-coupled receptors (GPCRs) respond to specific ligands and regulate multiple processes ranging from cell growth and immune responses to neuronal signal transmission. However, ligands for many GPCRs remain unknown, suffer from off-target effects or have poor bioavailability. Additional challenges exist to dissect cell-type specific responses when the same GPCR is expressed on several cell types within the body. Here, we overcome these limitations by engineering DREADD-based GPCR chimeras that selectively bind their agonist clozapine-N-oxide (CNO) and mimic a GPCR-of-interest in a desired cell type.\r\nWe validated our approach with β2-adrenergic receptor (β2AR/ADRB2) and show that our chimeric DREADD-β2AR triggers comparable responses on second messenger and kinase activity, post-translational modifications, and protein-protein interactions. Since β2AR is also enriched in microglia, which can drive inflammation in the central nervous system, we expressed chimeric DREADD-β2AR in primary microglia and successfully recapitulate β2AR-mediated filopodia formation through CNO stimulation. To dissect the role of selected GPCRs during microglial inflammation, we additionally generated DREADD-based chimeras for microglia-enriched GPR65 and GPR109A/HCAR2. In a microglia cell line, DREADD-β2AR and DREADD-GPR65 both modulated the inflammatory response with a similar profile as endogenously expressed β2AR, while DREADD-GPR109A showed no impact.\r\nOur DREADD-based approach provides the means to obtain mechanistic and functional insights into GPCR signaling on a cell-type specific level."}],"publication_identifier":{"issn":["2663-337X"]},"year":"2022","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","title":"Chimeric G protein-coupled receptors mimic distinct signaling pathways and modulate microglia function","day":"23","page":"133","ddc":["570"],"date_updated":"2026-04-07T14:17:59Z","date_created":"2022-08-23T11:33:11Z","date_published":"2022-08-23T00:00:00Z","month":"08"},{"ddc":["575"],"page":"248","date_created":"2022-07-20T11:21:53Z","date_updated":"2026-04-07T14:18:58Z","date_published":"2022-07-20T00:00:00Z","ec_funded":1,"month":"07","year":"2022","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","title":"Auxin and strigolactone non-canonical signaling regulating development in Arabidopsis thaliana","day":"20","alternative_title":["ISTA Thesis"],"language":[{"iso":"eng"}],"corr_author":"1","file":[{"file_name":"Thesis_Gallei.pdf","checksum":"bd7ac35403cf5b4b2607287d2a104b3a","creator":"mgallei","content_type":"application/pdf","file_id":"11645","relation":"main_file","date_updated":"2022-07-25T09:08:47Z","file_size":9730864,"date_created":"2022-07-25T09:08:47Z","access_level":"open_access"},{"access_level":"closed","date_created":"2022-07-25T09:09:09Z","file_size":19560720,"date_updated":"2022-07-25T09:39:58Z","relation":"source_file","file_name":"Thesis_Gallei_source.docx","creator":"mgallei","checksum":"a9e54fe5471ba25dc13c2150c1b8ccbb","file_id":"11646","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document"},{"content_type":"application/pdf","file_id":"11647","checksum":"3994f7f20058941b5bb8a16886b21e71","creator":"mgallei","file_name":"Thesis_Gallei_to_print.pdf","description":"This is the print version of the thesis including the full appendix","relation":"source_file","date_updated":"2022-07-25T09:39:58Z","file_size":24542837,"access_level":"closed","date_created":"2022-07-25T09:09:32Z"},{"file_size":15435966,"date_updated":"2022-07-25T11:48:45Z","relation":"main_file","date_created":"2022-07-25T11:48:45Z","access_level":"open_access","content_type":"application/pdf","file_id":"11650","file_name":"Thesis_Gallei_Appendix.pdf","checksum":"f24acd3c0d864f4c6676e8b0d7bfa76b","creator":"mgallei"}],"abstract":[{"lang":"eng","text":"Plant growth and development is well known to be both, flexible and dynamic. The high capacity for post-embryonic organ formation and tissue regeneration requires tightly regulated intercellular communication and coordinated tissue polarization. One of the most important drivers for patterning and polarity in plant development is the phytohormone auxin. Auxin has the unique characteristic to establish polarized channels for its own active directional cell to cell transport. This fascinating phenomenon is called auxin canalization. Those auxin transport channels are characterized by the expression and polar, subcellular localization of PIN auxin efflux carriers. PIN proteins have the ability to dynamically change their localization and auxin itself can affect this by interfering with trafficking. Most of the underlying molecular mechanisms of canalization still remain enigmatic. What is known so far is that canonical auxin signaling is indispensable but also other non-canonical signaling components are thought to play a role. In order to shed light into the mysteries auf auxin canalization this study revisits the branches of auxin signaling in detail. Further a new auxin analogue, PISA, is developed which triggers auxin-like responses but does not directly activate canonical transcriptional auxin signaling. We revisit the direct auxin effect on PIN trafficking where we found that, contradictory to previous observations, auxin is very specifically promoting endocytosis of PIN2 but has no overall effect on endocytosis. Further, we evaluate which cellular processes related to PIN subcellular dynamics are involved in the establishment of auxin conducting channels and the formation of vascular tissue. We are re-evaluating the function of AUXIN BINDING PROTEIN 1 (ABP1) and provide a comprehensive picture about its developmental phneotypes and involvement in auxin signaling and canalization. Lastly, we are focusing on the crosstalk between the hormone strigolactone (SL) and auxin and found that SL is interfering with essentially all processes involved in auxin canalization in a non-transcriptional manner. Lastly we identify a new way of SL perception and signaling which is emanating from mitochondria, is independent of canonical SL signaling and is modulating primary root growth."}],"publication_identifier":{"issn":["2663-337X"],"isbn":["978-3-99078-019-0"]},"degree_awarded":"PhD","OA_place":"publisher","supervisor":[{"first_name":"Jiří","id":"4159519E-F248-11E8-B48F-1D18A9856A87","full_name":"Friml, Jiří","orcid":"0000-0002-8302-7596","last_name":"Friml"},{"orcid":"0000-0002-8510-9739","full_name":"Benková, Eva","id":"38F4F166-F248-11E8-B48F-1D18A9856A87","first_name":"Eva","last_name":"Benková"},{"full_name":"Shani, Eilon","first_name":"Eilon","last_name":"Shani"}],"related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"8138"},{"relation":"part_of_dissertation","id":"7142","status":"public"},{"status":"public","id":"6260","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","status":"public","id":"10411"},{"status":"public","id":"8931","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","id":"7465","status":"public"},{"relation":"part_of_dissertation","id":"9287","status":"public"}]},"article_processing_charge":"No","author":[{"orcid":"0000-0003-1286-7368","full_name":"Gallei, Michelle C","id":"35A03822-F248-11E8-B48F-1D18A9856A87","first_name":"Michelle C","last_name":"Gallei"}],"publication_status":"published","type":"dissertation","doi":"10.15479/at:ista:11626","has_accepted_license":"1","status":"public","publisher":"Institute of Science and Technology Austria","file_date_updated":"2022-07-25T11:48:45Z","_id":"11626","oa_version":"Published Version","oa":1,"citation":{"ieee":"M. C. Gallei, “Auxin and strigolactone non-canonical signaling regulating development in Arabidopsis thaliana,” Institute of Science and Technology Austria, 2022.","ista":"Gallei MC. 2022. Auxin and strigolactone non-canonical signaling regulating development in Arabidopsis thaliana. Institute of Science and Technology Austria.","mla":"Gallei, Michelle C. <i>Auxin and Strigolactone Non-Canonical Signaling Regulating Development in Arabidopsis Thaliana</i>. Institute of Science and Technology Austria, 2022, doi:<a href=\"https://doi.org/10.15479/at:ista:11626\">10.15479/at:ista:11626</a>.","apa":"Gallei, M. C. (2022). <i>Auxin and strigolactone non-canonical signaling regulating development in Arabidopsis thaliana</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:11626\">https://doi.org/10.15479/at:ista:11626</a>","short":"M.C. Gallei, Auxin and Strigolactone Non-Canonical Signaling Regulating Development in Arabidopsis Thaliana, Institute of Science and Technology Austria, 2022.","ama":"Gallei MC. Auxin and strigolactone non-canonical signaling regulating development in Arabidopsis thaliana. 2022. doi:<a href=\"https://doi.org/10.15479/at:ista:11626\">10.15479/at:ista:11626</a>","chicago":"Gallei, Michelle C. “Auxin and Strigolactone Non-Canonical Signaling Regulating Development in Arabidopsis Thaliana.” Institute of Science and Technology Austria, 2022. <a href=\"https://doi.org/10.15479/at:ista:11626\">https://doi.org/10.15479/at:ista:11626</a>."},"department":[{"_id":"GradSch"},{"_id":"JiFr"}],"project":[{"_id":"261099A6-B435-11E9-9278-68D0E5697425","grant_number":"742985","name":"Tracing Evolution of Auxin Transport and Polarity in Plants","call_identifier":"H2020"}]},{"corr_author":"1","language":[{"iso":"eng"}],"publication_identifier":{"issn":["1360-1385"]},"abstract":[{"lang":"eng","text":"The phytohormone auxin is the major growth regulator governing tropic responses including gravitropism. Auxin build-up at the lower side of stimulated shoots promotes cell expansion, whereas in roots it inhibits growth, leading to upward shoot bending and downward root bending, respectively. Yet it remains an enigma how the same signal can trigger such opposite cellular responses. In this review, we discuss several recent unexpected insights into the mechanisms underlying auxin regulation of growth, challenging several existing models. We focus on the divergent mechanisms of apoplastic pH regulation in shoots and roots revisiting the classical Acid Growth Theory and discuss coordinated involvement of multiple auxin signaling pathways. From this emerges a more comprehensive, updated picture how auxin regulates growth."}],"file":[{"success":1,"file_id":"14480","content_type":"application/pdf","file_name":"Li Plants 2021_accepted.pdf","creator":"amally","checksum":"3d94980ee1ff6bec100dd813f6a921a6","date_created":"2023-11-02T17:00:03Z","access_level":"open_access","relation":"main_file","file_size":805779,"date_updated":"2023-11-02T17:00:03Z"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","year":"2022","scopus_import":"1","day":"01","title":"Bending to auxin: Fast acid growth for tropisms","date_updated":"2026-04-07T14:18:57Z","publication":"Trends in Plant Science","date_created":"2021-12-05T23:01:43Z","page":"440-449","ddc":["580"],"month":"05","date_published":"2022-05-01T00:00:00Z","_id":"10411","oa":1,"oa_version":"Submitted Version","file_date_updated":"2023-11-02T17:00:03Z","volume":27,"project":[{"call_identifier":"FWF","name":"Molecular mechanisms of endocytic cargo recognition in plants","_id":"26538374-B435-11E9-9278-68D0E5697425","grant_number":"I03630"},{"grant_number":"25351","_id":"26B4D67E-B435-11E9-9278-68D0E5697425","name":"A Case Study of Plant Growth Regulation: Molecular Mechanism of Auxin-mediated Rapid Growth Inhibition in Arabidopsis Root"}],"citation":{"mla":"Li, Lanxin, et al. “Bending to Auxin: Fast Acid Growth for Tropisms.” <i>Trends in Plant Science</i>, vol. 27, no. 5, Cell Press, 2022, pp. 440–49, doi:<a href=\"https://doi.org/10.1016/j.tplants.2021.11.006\">10.1016/j.tplants.2021.11.006</a>.","ista":"Li L, Gallei MC, Friml J. 2022. Bending to auxin: Fast acid growth for tropisms. Trends in Plant Science. 27(5), 440–449.","ieee":"L. Li, M. C. Gallei, and J. Friml, “Bending to auxin: Fast acid growth for tropisms,” <i>Trends in Plant Science</i>, vol. 27, no. 5. Cell Press, pp. 440–449, 2022.","chicago":"Li, Lanxin, Michelle C Gallei, and Jiří Friml. “Bending to Auxin: Fast Acid Growth for Tropisms.” <i>Trends in Plant Science</i>. Cell Press, 2022. <a href=\"https://doi.org/10.1016/j.tplants.2021.11.006\">https://doi.org/10.1016/j.tplants.2021.11.006</a>.","ama":"Li L, Gallei MC, Friml J. Bending to auxin: Fast acid growth for tropisms. <i>Trends in Plant Science</i>. 2022;27(5):440-449. doi:<a href=\"https://doi.org/10.1016/j.tplants.2021.11.006\">10.1016/j.tplants.2021.11.006</a>","apa":"Li, L., Gallei, M. C., &#38; Friml, J. (2022). Bending to auxin: Fast acid growth for tropisms. <i>Trends in Plant Science</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.tplants.2021.11.006\">https://doi.org/10.1016/j.tplants.2021.11.006</a>","short":"L. Li, M.C. Gallei, J. Friml, Trends in Plant Science 27 (2022) 440–449."},"department":[{"_id":"JiFr"}],"external_id":{"pmid":["34848141"],"isi":["000793707900005"]},"publisher":"Cell Press","doi":"10.1016/j.tplants.2021.11.006","intvolume":"        27","isi":1,"has_accepted_license":"1","status":"public","acknowledgement":"The authors thank Alexandra Mally for editing the text. This work was supported by the Austrian Science Fund (FWF) I 3630-B25 to Jiří Friml and the DOC Fellowship of the Austrian Academy of Sciences to Lanxin Li. All figures were created with BioRender.com.","issue":"5","pmid":1,"article_processing_charge":"No","quality_controlled":"1","related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"11626"}]},"type":"journal_article","publication_status":"published","author":[{"id":"367EF8FA-F248-11E8-B48F-1D18A9856A87","first_name":"Lanxin","full_name":"Li, Lanxin","orcid":"0000-0002-5607-272X","last_name":"Li"},{"id":"35A03822-F248-11E8-B48F-1D18A9856A87","first_name":"Michelle C","full_name":"Gallei, Michelle C","orcid":"0000-0003-1286-7368","last_name":"Gallei"},{"orcid":"0000-0002-8302-7596","full_name":"Friml, Jiří","first_name":"Jiří","id":"4159519E-F248-11E8-B48F-1D18A9856A87","last_name":"Friml"}]},{"publication_status":"published","author":[{"orcid":"0009-0009-5204-7621","full_name":"Konstantinov, Nikola H","id":"4B9D76E4-F248-11E8-B48F-1D18A9856A87","first_name":"Nikola H","last_name":"Konstantinov"}],"type":"dissertation","related_material":{"record":[{"id":"10802","status":"public","relation":"part_of_dissertation"},{"status":"public","id":"10803","relation":"part_of_dissertation"},{"id":"6590","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","id":"8724","status":"public"}]},"supervisor":[{"last_name":"Lampert","full_name":"Lampert, Christoph","orcid":"0000-0001-8622-7887","first_name":"Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87"}],"OA_place":"publisher","article_processing_charge":"No","status":"public","has_accepted_license":"1","doi":"10.15479/at:ista:10799","publisher":"Institute of Science and Technology Austria","citation":{"ista":"Konstantinov NH. 2022. Robustness and fairness in machine learning. Institute of Science and Technology Austria.","mla":"Konstantinov, Nikola H. <i>Robustness and Fairness in Machine Learning</i>. Institute of Science and Technology Austria, 2022, doi:<a href=\"https://doi.org/10.15479/at:ista:10799\">10.15479/at:ista:10799</a>.","ieee":"N. H. Konstantinov, “Robustness and fairness in machine learning,” Institute of Science and Technology Austria, 2022.","chicago":"Konstantinov, Nikola H. “Robustness and Fairness in Machine Learning.” Institute of Science and Technology Austria, 2022. <a href=\"https://doi.org/10.15479/at:ista:10799\">https://doi.org/10.15479/at:ista:10799</a>.","short":"N.H. Konstantinov, Robustness and Fairness in Machine Learning, Institute of Science and Technology Austria, 2022.","ama":"Konstantinov NH. Robustness and fairness in machine learning. 2022. doi:<a href=\"https://doi.org/10.15479/at:ista:10799\">10.15479/at:ista:10799</a>","apa":"Konstantinov, N. H. (2022). <i>Robustness and fairness in machine learning</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:10799\">https://doi.org/10.15479/at:ista:10799</a>"},"department":[{"_id":"GradSch"},{"_id":"ChLa"}],"project":[{"name":"International IST Doctoral Program","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"}],"file_date_updated":"2022-03-10T12:11:48Z","_id":"10799","oa":1,"oa_version":"Published Version","date_published":"2022-03-08T00:00:00Z","ec_funded":1,"month":"03","ddc":["000"],"page":"176","date_created":"2022-02-28T13:03:49Z","date_updated":"2026-04-07T14:19:48Z","title":"Robustness and fairness in machine learning","day":"08","year":"2022","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","file":[{"success":1,"file_id":"10823","content_type":"application/pdf","creator":"nkonstan","checksum":"626bc523ae8822d20e635d0e2d95182e","file_name":"thesis.pdf","access_level":"open_access","date_created":"2022-03-06T11:42:54Z","relation":"main_file","date_updated":"2022-03-06T11:42:54Z","file_size":4204905},{"content_type":"application/x-zip-compressed","file_id":"10824","file_name":"thesis.zip","checksum":"e2ca2b88350ac8ea1515b948885cbcb1","creator":"nkonstan","file_size":22841103,"date_updated":"2022-03-10T12:11:48Z","relation":"source_file","date_created":"2022-03-06T11:42:57Z","access_level":"closed"}],"abstract":[{"text":"Because of the increasing popularity of machine learning methods, it is becoming important to understand the impact of learned components on automated decision-making systems and to guarantee that their consequences are beneficial to society. In other words, it is necessary to ensure that machine learning is sufficiently trustworthy to be used in real-world applications. This thesis studies two properties of machine learning models that are highly desirable for the\r\nsake of reliability: robustness and fairness. In the first part of the thesis we study the robustness of learning algorithms to training data corruption. Previous work has shown that machine learning models are vulnerable to a range\r\nof training set issues, varying from label noise through systematic biases to worst-case data manipulations. This is an especially relevant problem from a present perspective, since modern machine learning methods are particularly data hungry and therefore practitioners often have to rely on data collected from various external sources, e.g. from the Internet, from app users or via crowdsourcing. Naturally, such sources vary greatly in the quality and reliability of the\r\ndata they provide. With these considerations in mind, we study the problem of designing machine learning algorithms that are robust to corruptions in data coming from multiple sources. We show that, in contrast to the case of a single dataset with outliers, successful learning within this model is possible both theoretically and practically, even under worst-case data corruptions. The second part of this thesis deals with fairness-aware machine learning. There are multiple areas where machine learning models have shown promising results, but where careful considerations are required, in order to avoid discrimanative decisions taken by such learned components. Ensuring fairness can be particularly challenging, because real-world training datasets are expected to contain various forms of historical bias that may affect the learning process. In this thesis we show that data corruption can indeed render the problem of achieving fairness impossible, by tightly characterizing the theoretical limits of fair learning under worst-case data manipulations. However, assuming access to clean data, we also show how fairness-aware learning can be made practical in contexts beyond binary classification, in particular in the challenging learning to rank setting.","lang":"eng"}],"publication_identifier":{"isbn":["978-3-99078-015-2"],"issn":["2663-337X"]},"language":[{"iso":"eng"}],"alternative_title":["ISTA Thesis"],"corr_author":"1","keyword":["robustness","fairness","machine learning","PAC learning","adversarial learning"],"degree_awarded":"PhD"},{"scopus_import":"1","article_type":"original","year":"2022","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Fairness-aware PAC learning from corrupted data","day":"01","ddc":["004"],"page":"1-60","date_created":"2022-02-28T14:05:42Z","date_updated":"2026-04-07T14:19:48Z","publication":"Journal of Machine Learning Research","date_published":"2022-05-01T00:00:00Z","month":"05","keyword":["Fairness","robustness","data poisoning","trustworthy machine learning","PAC learning"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"language":[{"iso":"eng"}],"corr_author":"1","file":[{"relation":"main_file","date_updated":"2022-07-12T15:08:28Z","file_size":551862,"access_level":"open_access","date_created":"2022-07-12T15:08:28Z","content_type":"application/pdf","file_id":"11570","success":1,"file_name":"2022_JournalMachineLearningResearch_Konstantinov.pdf","checksum":"9cac897b54a0ddf3a553a2c33e88cfda","creator":"kschuh"}],"publication_identifier":{"eissn":["1533-7928"],"issn":["1532-4435"]},"abstract":[{"lang":"eng","text":"Addressing fairness concerns about machine learning models is a crucial step towards their long-term adoption in real-world automated systems. While many approaches have been developed for training fair models from data, little is known about the robustness of these methods to data corruption. In this work we consider fairness-aware learning under worst-case data manipulations. We show that an adversary can in some situations force any learner to return an overly biased classifier, regardless of the sample size and with or without degrading\r\naccuracy, and that the strength of the excess bias increases for learning problems with underrepresented protected groups in the data. We also prove that our hardness results are tight up to constant factors. To this end, we study two natural learning algorithms that optimize for both accuracy and fairness and show that these algorithms enjoy guarantees that are order-optimal in terms of the corruption ratio and the protected groups frequencies in the large data\r\nlimit."}],"intvolume":"        23","acknowledgement":"The authors thank Eugenia Iofinova and Bernd Prach for providing feedback on early versions of this paper. This publication was made possible by an ETH AI Center postdoctoral fellowship to Nikola Konstantinov.","status":"public","has_accepted_license":"1","related_material":{"record":[{"status":"public","id":"13241","relation":"shorter_version"},{"status":"public","id":"10799","relation":"dissertation_contains"}]},"article_processing_charge":"No","quality_controlled":"1","author":[{"last_name":"Konstantinov","id":"4B9D76E4-F248-11E8-B48F-1D18A9856A87","first_name":"Nikola H","full_name":"Konstantinov, Nikola H","orcid":"0009-0009-5204-7621"},{"first_name":"Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","full_name":"Lampert, Christoph","orcid":"0000-0002-4561-241X","last_name":"Lampert"}],"publication_status":"published","type":"journal_article","volume":23,"file_date_updated":"2022-07-12T15:08:28Z","oa":1,"_id":"10802","oa_version":"Published Version","citation":{"ieee":"N. H. Konstantinov and C. Lampert, “Fairness-aware PAC learning from corrupted data,” <i>Journal of Machine Learning Research</i>, vol. 23. ML Research Press, pp. 1–60, 2022.","mla":"Konstantinov, Nikola H., and Christoph Lampert. “Fairness-Aware PAC Learning from Corrupted Data.” <i>Journal of Machine Learning Research</i>, vol. 23, ML Research Press, 2022, pp. 1–60.","ista":"Konstantinov NH, Lampert C. 2022. Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. 23, 1–60.","ama":"Konstantinov NH, Lampert C. Fairness-aware PAC learning from corrupted data. <i>Journal of Machine Learning Research</i>. 2022;23:1-60.","short":"N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.","apa":"Konstantinov, N. H., &#38; Lampert, C. (2022). Fairness-aware PAC learning from corrupted data. <i>Journal of Machine Learning Research</i>. ML Research Press.","chicago":"Konstantinov, Nikola H, and Christoph Lampert. “Fairness-Aware PAC Learning from Corrupted Data.” <i>Journal of Machine Learning Research</i>. ML Research Press, 2022."},"department":[{"_id":"ChLa"}],"arxiv":1,"publisher":"ML Research Press","external_id":{"arxiv":["2102.06004"]}},{"publisher":"Institute of Science and Technology Austria","citation":{"chicago":"Rzadkowski, Wojciech. “Analytic and Machine Learning Approaches to Composite Quantum Impurities.” Institute of Science and Technology Austria, 2022. <a href=\"https://doi.org/10.15479/at:ista:10759\">https://doi.org/10.15479/at:ista:10759</a>.","short":"W. Rzadkowski, Analytic and Machine Learning Approaches to Composite Quantum Impurities, Institute of Science and Technology Austria, 2022.","apa":"Rzadkowski, W. (2022). <i>Analytic and machine learning approaches to composite quantum impurities</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:10759\">https://doi.org/10.15479/at:ista:10759</a>","ama":"Rzadkowski W. Analytic and machine learning approaches to composite quantum impurities. 2022. doi:<a href=\"https://doi.org/10.15479/at:ista:10759\">10.15479/at:ista:10759</a>","mla":"Rzadkowski, Wojciech. <i>Analytic and Machine Learning Approaches to Composite Quantum Impurities</i>. Institute of Science and Technology Austria, 2022, doi:<a href=\"https://doi.org/10.15479/at:ista:10759\">10.15479/at:ista:10759</a>.","ista":"Rzadkowski W. 2022. Analytic and machine learning approaches to composite quantum impurities. Institute of Science and Technology Austria.","ieee":"W. Rzadkowski, “Analytic and machine learning approaches to composite quantum impurities,” Institute of Science and Technology Austria, 2022."},"department":[{"_id":"GradSch"},{"_id":"MiLe"}],"project":[{"call_identifier":"H2020","name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"}],"_id":"10759","oa":1,"oa_version":"Published Version","file_date_updated":"2022-02-22T07:20:12Z","type":"dissertation","publication_status":"published","author":[{"last_name":"Rzadkowski","first_name":"Wojciech","id":"48C55298-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-1106-4419","full_name":"Rzadkowski, Wojciech"}],"article_processing_charge":"No","related_material":{"record":[{"id":"10762","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","id":"415","status":"public"},{"relation":"part_of_dissertation","id":"8644","status":"public"},{"relation":"part_of_dissertation","id":"7956","status":"public"}]},"OA_place":"publisher","supervisor":[{"orcid":"0000-0002-6990-7802","full_name":"Lemeshko, Mikhail","first_name":"Mikhail","id":"37CB05FA-F248-11E8-B48F-1D18A9856A87","last_name":"Lemeshko"}],"has_accepted_license":"1","status":"public","doi":"10.15479/at:ista:10759","abstract":[{"text":"In this Thesis, I study composite quantum impurities with variational techniques, both inspired by machine learning as well as fully analytic. I supplement this with exploration of other applications of machine learning, in particular artificial neural networks, in many-body physics. In Chapters 3 and 4, I study quasiparticle systems with variational approach. I derive a Hamiltonian describing the angulon quasiparticle in the presence of a magnetic field. I apply analytic variational treatment to this Hamiltonian. Then, I introduce a variational approach for non-additive systems, based on artificial neural networks. I exemplify this approach on the example of the polaron quasiparticle (Fröhlich Hamiltonian). In Chapter 5, I continue using artificial neural networks, albeit in a different setting. I apply artificial neural networks to detect phases from snapshots of two types physical systems. Namely, I study Monte Carlo snapshots of multilayer classical spin models as well as molecular dynamics maps of colloidal systems. The main type of networks that I use here are convolutional neural networks, known for their applicability to image data.","lang":"eng"}],"publication_identifier":{"issn":["2663-337X"]},"file":[{"date_created":"2022-02-21T13:58:16Z","access_level":"closed","relation":"source_file","file_size":17668233,"date_updated":"2022-02-22T07:20:12Z","file_name":"Rzadkowski_thesis_final_source.zip","creator":"wrzadkow","checksum":"0fc54ad1eaede879c665ac9b53c93e22","file_id":"10785","content_type":"application/zip"},{"checksum":"22d2d7af37ca31f6b1730c26cac7bced","creator":"wrzadkow","file_name":"Rzadkowski_thesis_final.pdf","content_type":"application/pdf","file_id":"10786","success":1,"date_updated":"2022-02-21T14:02:54Z","file_size":13307331,"relation":"main_file","access_level":"open_access","date_created":"2022-02-21T14:02:54Z"}],"corr_author":"1","alternative_title":["ISTA Thesis"],"language":[{"iso":"eng"}],"degree_awarded":"PhD","ec_funded":1,"month":"02","date_published":"2022-02-21T00:00:00Z","date_created":"2022-02-16T13:27:37Z","date_updated":"2026-04-07T14:20:12Z","ddc":["530"],"page":"120","day":"21","title":"Analytic and machine learning approaches to composite quantum impurities","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","year":"2022"},{"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2204.07373","open_access":"1"}],"abstract":[{"text":"Adversarial training (i.e., training on adversarially perturbed input data) is a well-studied method for making neural networks robust to potential adversarial attacks during inference. However, the improved robustness does not\r\ncome for free but rather is accompanied by a decrease in overall model accuracy and performance. Recent work has shown that, in practical robot learning applications, the effects of adversarial training do not pose a fair trade-off\r\nbut inflict a net loss when measured in holistic robot performance. This work revisits the robustness-accuracy trade-off in robot learning by systematically analyzing if recent advances in robust training methods and theory in\r\nconjunction with adversarial robot learning can make adversarial training suitable for real-world robot applications. We evaluate a wide variety of robot learning tasks ranging from autonomous driving in a high-fidelity environment\r\namenable to sim-to-real deployment, to mobile robot gesture recognition. Our results demonstrate that, while these techniques make incremental improvements on the trade-off on a relative scale, the negative side-effects caused by\r\nadversarial training still outweigh the improvements by an order of magnitude. We conclude that more substantial advances in robust learning methods are necessary before they can benefit robot learning tasks in practice.","lang":"eng"}],"language":[{"iso":"eng"}],"corr_author":"1","date_published":"2022-04-15T00:00:00Z","ec_funded":1,"month":"04","date_created":"2022-05-12T13:20:17Z","date_updated":"2026-04-07T14:21:58Z","publication":"arXiv","title":"Revisiting the adversarial robustness-accuracy tradeoff in robot learning","day":"15","year":"2022","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","external_id":{"arxiv":["2204.07373"]},"arxiv":1,"department":[{"_id":"ToHe"}],"citation":{"ista":"Lechner M, Amini A, Rus D, Henzinger TA. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. arXiv, 2204.07373.","mla":"Lechner, Mathias, et al. “Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning.” <i>ArXiv</i>, 2204.07373, doi:<a href=\"https://doi.org/10.48550/arXiv.2204.07373\">10.48550/arXiv.2204.07373</a>.","ieee":"M. Lechner, A. Amini, D. Rus, and T. A. Henzinger, “Revisiting the adversarial robustness-accuracy tradeoff in robot learning,” <i>arXiv</i>. .","chicago":"Lechner, Mathias, Alexander Amini, Daniela Rus, and Thomas A Henzinger. “Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2204.07373\">https://doi.org/10.48550/arXiv.2204.07373</a>.","apa":"Lechner, M., Amini, A., Rus, D., &#38; Henzinger, T. A. (n.d.). Revisiting the adversarial robustness-accuracy tradeoff in robot learning. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2204.07373\">https://doi.org/10.48550/arXiv.2204.07373</a>","short":"M. Lechner, A. Amini, D. Rus, T.A. Henzinger, ArXiv (n.d.).","ama":"Lechner M, Amini A, Rus D, Henzinger TA. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2204.07373\">10.48550/arXiv.2204.07373</a>"},"project":[{"call_identifier":"H2020","name":"Vigilant Algorithmic Monitoring of Software","_id":"62781420-2b32-11ec-9570-8d9b63373d4d","grant_number":"101020093"}],"_id":"11366","oa":1,"oa_version":"Preprint","author":[{"full_name":"Lechner, Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87","first_name":"Mathias","last_name":"Lechner"},{"last_name":"Amini","full_name":"Amini, Alexander","first_name":"Alexander"},{"last_name":"Rus","first_name":"Daniela","full_name":"Rus, Daniela"},{"last_name":"Henzinger","orcid":"0000-0002-2985-7724","full_name":"Henzinger, Thomas A","first_name":"Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87"}],"publication_status":"draft","type":"preprint","related_material":{"record":[{"relation":"later_version","id":"12704","status":"public"},{"status":"public","id":"11362","relation":"dissertation_contains"}]},"OA_place":"repository","article_number":"2204.07373","article_processing_charge":"No","status":"public","acknowledgement":"This work was supported in parts by the ERC-2020-AdG 101020093, National Science Foundation (NSF), and JP\r\nMorgan Graduate Fellowships. We thank Christoph Lampert for inspiring this work.\r\n","doi":"10.48550/arXiv.2204.07373"},{"OA_type":"green","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2208.02368"}],"external_id":{"arxiv":["2208.02368"]},"abstract":[{"text":"When impinging on optical structures or passing in their vicinity, free electrons can spontaneously emit electromagnetic radiation, a phenomenon generally known as cathodoluminescence. Free-electron radiation comes in many guises: Cherenkov, transition, and Smith-Purcell radiation, but also electron scintillation, commonly referred to as incoherent cathodoluminescence. While those effects have been at the heart of many fundamental discoveries and technological developments in high-energy physics in the past century, their recent demonstration in photonic and nanophotonic systems has attracted a lot of attention. Those developments arose from predictions that exploit nanophotonics for novel radiation regimes, now becoming accessible thanks to advances in nanofabrication. In general, the proper design of nanophotonic structures can enable shaping, control, and enhancement of free-electron radiation, for any of the above-mentioned effects. Free-electron radiation in nanophotonics opens the way to promising applications, such as widely-tunable integrated light sources from x-ray to THz frequencies, miniaturized particle accelerators, and highly sensitive high-energy particle detectors. Here, we review the emerging field of free-electron radiation in nanophotonics. We first present a general, unified framework to describe free-electron light-matter interaction in arbitrary nanophotonic systems. We then show how this framework sheds light on the physical underpinnings of many methods in the field used to control and enhance free-electron radiation. Namely, the framework points to the central role played by the photonic eigenmodes in controlling the output properties of free-electron radiation (e.g., frequency, directionality, and polarization). [... see full abstract in paper]","lang":"eng"}],"language":[{"iso":"eng"}],"arxiv":1,"citation":{"ama":"Roques-Carmes C, Kooi SE, Yang Y, et al. Free-electron-light interactions in nanophotonics. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2208.02368\">10.48550/arXiv.2208.02368</a>","apa":"Roques-Carmes, C., Kooi, S. E., Yang, Y., Rivera, N., Keathley, P. D., Joannopoulos, J. D., … Soljačić, M. (n.d.). Free-electron-light interactions in nanophotonics. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2208.02368\">https://doi.org/10.48550/arXiv.2208.02368</a>","short":"C. Roques-Carmes, S.E. Kooi, Y. Yang, N. Rivera, P.D. Keathley, J.D. Joannopoulos, S.G. Johnson, I. Kaminer, K.K. Berggren, M. Soljačić, ArXiv (n.d.).","chicago":"Roques-Carmes, Charles, Steven E. Kooi, Yi Yang, Nicholas Rivera, Phillip D. Keathley, John D. Joannopoulos, Steven G. Johnson, Ido Kaminer, Karl K. Berggren, and Marin Soljačić. “Free-Electron-Light Interactions in Nanophotonics.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2208.02368\">https://doi.org/10.48550/arXiv.2208.02368</a>.","ieee":"C. Roques-Carmes <i>et al.</i>, “Free-electron-light interactions in nanophotonics,” <i>arXiv</i>. .","ista":"Roques-Carmes C, Kooi SE, Yang Y, Rivera N, Keathley PD, Joannopoulos JD, Johnson SG, Kaminer I, Berggren KK, Soljačić M. Free-electron-light interactions in nanophotonics. arXiv, 2208.02368.","mla":"Roques-Carmes, Charles, et al. “Free-Electron-Light Interactions in Nanophotonics.” <i>ArXiv</i>, 2208.02368, doi:<a href=\"https://doi.org/10.48550/arXiv.2208.02368\">10.48550/arXiv.2208.02368</a>."},"oa_version":"Preprint","_id":"21673","oa":1,"publication_status":"submitted","date_published":"2022-08-03T00:00:00Z","author":[{"last_name":"Roques-Carmes","first_name":"Charles","id":"e2e68fc9-6505-11ef-a541-eb4e72cc3e82","full_name":"Roques-Carmes, Charles"},{"last_name":"Kooi","full_name":"Kooi, Steven E.","first_name":"Steven E."},{"last_name":"Yang","full_name":"Yang, Yi","first_name":"Yi"},{"last_name":"Rivera","full_name":"Rivera, Nicholas","first_name":"Nicholas"},{"last_name":"Keathley","full_name":"Keathley, Phillip D.","first_name":"Phillip D."},{"last_name":"Joannopoulos","full_name":"Joannopoulos, John D.","first_name":"John D."},{"last_name":"Johnson","first_name":"Steven G.","full_name":"Johnson, Steven G."},{"last_name":"Kaminer","first_name":"Ido","full_name":"Kaminer, Ido"},{"last_name":"Berggren","full_name":"Berggren, Karl K.","first_name":"Karl K."},{"first_name":"Marin","full_name":"Soljačić, Marin","last_name":"Soljačić"}],"extern":"1","month":"08","type":"preprint","OA_place":"repository","article_number":"2208.02368","article_processing_charge":"No","date_created":"2026-04-09T09:10:41Z","date_updated":"2026-04-13T09:42:12Z","publication":"arXiv","title":"Free-electron-light interactions in nanophotonics","status":"public","day":"03","scopus_import":"1","year":"2022","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.48550/arXiv.2208.02368"},{"publisher":"Springer Nature","external_id":{"isi":["000788639400032"],"pmid":["35477739"]},"department":[{"_id":"FyKo"}],"citation":{"mla":"Dranenko, NO, et al. “Chromosome-Encoded IpaH Ubiquitin Ligases Indicate Non-Human Enteroinvasive Escherichia.” <i>Scientific Reports</i>, vol. 12, 6868, Springer Nature, 2022, doi:<a href=\"https://doi.org/10.1038/s41598-022-10827-3\">10.1038/s41598-022-10827-3</a>.","ista":"Dranenko N, Tutukina M, Gelfand M, Kondrashov F, Bochkareva O. 2022. Chromosome-encoded IpaH ubiquitin ligases indicate non-human enteroinvasive Escherichia. Scientific Reports. 12, 6868.","ieee":"N. Dranenko, M. Tutukina, M. Gelfand, F. Kondrashov, and O. Bochkareva, “Chromosome-encoded IpaH ubiquitin ligases indicate non-human enteroinvasive Escherichia,” <i>Scientific Reports</i>, vol. 12. Springer Nature, 2022.","chicago":"Dranenko, NO, MN Tutukina, MS Gelfand, Fyodor Kondrashov, and Olga Bochkareva. “Chromosome-Encoded IpaH Ubiquitin Ligases Indicate Non-Human Enteroinvasive Escherichia.” <i>Scientific Reports</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s41598-022-10827-3\">https://doi.org/10.1038/s41598-022-10827-3</a>.","apa":"Dranenko, N., Tutukina, M., Gelfand, M., Kondrashov, F., &#38; Bochkareva, O. (2022). Chromosome-encoded IpaH ubiquitin ligases indicate non-human enteroinvasive Escherichia. <i>Scientific Reports</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41598-022-10827-3\">https://doi.org/10.1038/s41598-022-10827-3</a>","ama":"Dranenko N, Tutukina M, Gelfand M, Kondrashov F, Bochkareva O. Chromosome-encoded IpaH ubiquitin ligases indicate non-human enteroinvasive Escherichia. <i>Scientific Reports</i>. 2022;12. doi:<a href=\"https://doi.org/10.1038/s41598-022-10827-3\">10.1038/s41598-022-10827-3</a>","short":"N. Dranenko, M. Tutukina, M. Gelfand, F. Kondrashov, O. Bochkareva, Scientific Reports 12 (2022)."},"project":[{"name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020","grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425"},{"_id":"34e076d6-11ca-11ed-8bc3-aec76c41a181","grant_number":"I05127","name":"Evolutionary analysis of gene regulation"}],"_id":"11344","oa":1,"oa_version":"Published Version","volume":12,"file_date_updated":"2022-05-02T09:05:20Z","type":"journal_article","author":[{"last_name":"Dranenko","first_name":"NO","full_name":"Dranenko, NO"},{"full_name":"Tutukina, MN","first_name":"MN","last_name":"Tutukina"},{"last_name":"Gelfand","full_name":"Gelfand, MS","first_name":"MS"},{"last_name":"Kondrashov","first_name":"Fyodor","id":"44FDEF62-F248-11E8-B48F-1D18A9856A87","full_name":"Kondrashov, Fyodor","orcid":"0000-0001-8243-4694"},{"first_name":"Olga","id":"C4558D3C-6102-11E9-A62E-F418E6697425","orcid":"0000-0003-1006-6639","full_name":"Bochkareva, Olga","last_name":"Bochkareva"}],"publication_status":"published","article_processing_charge":"No","quality_controlled":"1","pmid":1,"article_number":"6868","has_accepted_license":"1","acknowledgement":"The project was initiated with Aygul Minnegalieva and Yulia Yakovleva at the Summer School of Molecular and Theoretical Biology (SMTB-2020), supported by the Zimin Foundation. We thank Inna Shapovalenko, Daria Abuzova, Elizaveta Kaminskaya, and Dmitriy Zvezdin for their contribution to the project during SMTB-2020. We also thank Peter Vlasov for fruitful discussions.This study was supported by the Russian Foundation for Basic Research (RFBR), Grant # 20-54-14005 and Fonds zur Förderung der wissenschaftlichen Forschung (FWF), Grant # I5127-B. The work of OB is supported by the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie Grant Agreement No. 754411. ","status":"public","intvolume":"        12","doi":"10.1038/s41598-022-10827-3","isi":1,"abstract":[{"lang":"eng","text":"Until recently, Shigella and enteroinvasive Escherichia coli were thought to be primate-restricted pathogens. The base of their pathogenicity is the type 3 secretion system (T3SS) encoded by the pINV virulence plasmid, which facilitates host cell invasion and subsequent proliferation. A large family of T3SS effectors, E3 ubiquitin-ligases encoded by the ipaH genes, have a key role in the Shigella pathogenicity through the modulation of cellular ubiquitination that degrades host proteins. However, recent genomic studies identified ipaH genes in the genomes of Escherichia marmotae, a potential marmot pathogen, and an E. coli extracted from fecal samples of bovine calves, suggesting that non-human hosts may also be infected by these strains, potentially pathogenic to humans. We performed a comparative genomic study of the functional repertoires in the ipaH gene family in Shigella and enteroinvasive Escherichia from human and predicted non-human hosts. We found that fewer than half of Shigella genomes had a complete set of ipaH genes, with frequent gene losses and duplications that were not consistent with the species tree and nomenclature. Non-human host IpaH proteins had a diverse set of substrate-binding domains and, in contrast to the Shigella proteins, two variants of the NEL C-terminal domain. Inconsistencies between strains phylogeny and composition of effectors indicate horizontal gene transfer between E. coli adapted to different hosts. These results provide a framework for understanding of ipaH-mediated host-pathogens interactions and suggest a need for a genomic study of fecal samples from diseased animals."}],"publication_identifier":{"issn":["2045-2322"]},"file":[{"file_size":3564155,"relation":"main_file","date_updated":"2022-05-02T09:05:20Z","access_level":"open_access","date_created":"2022-05-02T09:05:20Z","file_name":"2022_ScientificReports_Dranenko.pdf","checksum":"12601b8a5c6b83bb618f92bcb963ecc9","creator":"dernst","content_type":"application/pdf","success":1,"file_id":"11349"}],"corr_author":"1","language":[{"iso":"eng"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"ec_funded":1,"month":"04","date_published":"2022-04-27T00:00:00Z","date_created":"2022-05-02T07:08:42Z","publication":"Scientific Reports","date_updated":"2026-04-15T08:51:09Z","ddc":["570"],"day":"27","title":"Chromosome-encoded IpaH ubiquitin ligases indicate non-human enteroinvasive Escherichia","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","article_type":"original","year":"2022"},{"supervisor":[{"id":"4AFD0470-F248-11E8-B48F-1D18A9856A87","first_name":"Robert","orcid":"0000-0002-6781-0521","full_name":"Seiringer, Robert","last_name":"Seiringer"}],"OA_place":"publisher","related_material":{"record":[{"status":"public","id":"9005","relation":"part_of_dissertation"}]},"article_processing_charge":"No","publication_status":"published","author":[{"last_name":"Brooks","full_name":"Brooks, Morris","orcid":"0000-0002-6249-0928","first_name":"Morris","id":"B7ECF9FC-AA38-11E9-AC9A-0930E6697425"}],"type":"dissertation","doi":"10.15479/at:ista:12390","has_accepted_license":"1","status":"public","publisher":"Institute of Science and Technology Austria","file_date_updated":"2023-01-26T10:02:42Z","_id":"12390","oa_version":"Published Version","oa":1,"project":[{"grant_number":"694227","_id":"25C6DC12-B435-11E9-9278-68D0E5697425","name":"Analysis of quantum many-body systems","call_identifier":"H2020"}],"citation":{"chicago":"Brooks, Morris. “Translation-Invariant Quantum Systems with Effectively Broken Symmetry.” Institute of Science and Technology Austria, 2022. <a href=\"https://doi.org/10.15479/at:ista:12390\">https://doi.org/10.15479/at:ista:12390</a>.","apa":"Brooks, M. (2022). <i>Translation-invariant quantum systems with effectively broken symmetry</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:12390\">https://doi.org/10.15479/at:ista:12390</a>","ama":"Brooks M. Translation-invariant quantum systems with effectively broken symmetry. 2022. doi:<a href=\"https://doi.org/10.15479/at:ista:12390\">10.15479/at:ista:12390</a>","short":"M. Brooks, Translation-Invariant Quantum Systems with Effectively Broken Symmetry, Institute of Science and Technology Austria, 2022.","mla":"Brooks, Morris. <i>Translation-Invariant Quantum Systems with Effectively Broken Symmetry</i>. Institute of Science and Technology Austria, 2022, doi:<a href=\"https://doi.org/10.15479/at:ista:12390\">10.15479/at:ista:12390</a>.","ista":"Brooks M. 2022. Translation-invariant quantum systems with effectively broken symmetry. Institute of Science and Technology Austria.","ieee":"M. Brooks, “Translation-invariant quantum systems with effectively broken symmetry,” Institute of Science and Technology Austria, 2022."},"department":[{"_id":"GradSch"},{"_id":"RoSe"}],"page":"196","ddc":["500"],"date_updated":"2026-04-16T08:20:52Z","date_created":"2023-01-26T10:00:42Z","date_published":"2022-12-15T00:00:00Z","month":"12","ec_funded":1,"year":"2022","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","title":"Translation-invariant quantum systems with effectively broken symmetry","day":"15","alternative_title":["ISTA Thesis"],"language":[{"iso":"eng"}],"corr_author":"1","file":[{"date_updated":"2023-01-26T10:02:34Z","relation":"main_file","file_size":3095225,"date_created":"2023-01-26T10:02:34Z","access_level":"open_access","content_type":"application/pdf","success":1,"file_id":"12391","file_name":"Brooks_Thesis.pdf","checksum":"b31460e937f33b557abb40ebef02b567","creator":"cchlebak"},{"date_created":"2023-01-26T10:02:42Z","access_level":"closed","file_size":809842,"relation":"source_file","date_updated":"2023-01-26T10:02:42Z","file_id":"12392","content_type":"application/octet-stream","file_name":"Brooks_Thesis.tex","creator":"cchlebak","checksum":"9751869fa5e7981588ad4228f4fd4bd6"}],"publication_identifier":{"issn":["2663-337X"]},"abstract":[{"lang":"eng","text":"The scope of this thesis is to study quantum systems exhibiting a continuous symmetry that\r\nis broken on the level of the corresponding effective theory. In particular we are going to\r\ninvestigate translation-invariant Bose gases in the mean field limit, effectively described by\r\nthe Hartree functional, and the Fröhlich Polaron in the regime of strong coupling, effectively\r\ndescribed by the Pekar functional. The latter is a model describing the interaction between a\r\ncharged particle and the optical modes of a polar crystal. Regarding the former, we assume in\r\naddition that the particles in the gas are unconfined, and typically we will consider particles\r\nthat are subject to an attractive interaction. In both cases the ground state energy of the\r\nHamiltonian is not a proper eigenvalue due to the underlying translation-invariance, while on\r\nthe contrary there exists a whole invariant orbit of minimizers for the corresponding effective\r\nfunctionals. Both, the absence of proper eigenstates and the broken symmetry of the effective\r\ntheory, make the study significantly more involved and it is the content of this thesis to\r\ndevelop a frameworks which allows for a systematic way to circumvent these issues.\r\nIt is a well-established result that the ground state energy of Bose gases in the mean field limit,\r\nas well as the ground state energy of the Fröhlich Polaron in the regime of strong coupling, is\r\nto leading order given by the minimal energy of the corresponding effective theory. As part\r\nof this thesis we identify the sub-leading term in the expansion of the ground state energy,\r\nwhich can be interpreted as the quantum correction to the classical energy, since the effective\r\ntheories under consideration can be seen as classical counterparts.\r\nWe are further going to establish an asymptotic expression for the energy-momentum relation\r\nof the Fröhlich Polaron in the strong coupling limit. In the regime of suitably small momenta,\r\nthis asymptotic expression agrees with the energy-momentum relation of a free particle having\r\nan effectively increased mass, and we find that this effectively increased mass agrees with the\r\nconjectured value in the physics literature.\r\nIn addition we will discuss two unrelated papers written by the author during his stay at ISTA\r\nin the appendix. The first one concerns the realization of anyons, which are quasi-particles\r\nacquiring a non-trivial phase under the exchange of two particles, as molecular impurities.\r\nThe second one provides a classification of those vector fields defined on a given manifold\r\nthat can be written as the gradient of a given functional with respect to a suitable metric,\r\nprovided that some mild smoothness assumptions hold. This classification is subsequently\r\nused to identify those quantum Markov semigroups that can be written as a gradient flow of\r\nthe relative entropy.\r\n"}],"degree_awarded":"PhD","tmp":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","short":"CC BY-NC-SA (4.0)","image":"/images/cc_by_nc_sa.png"}},{"language":[{"iso":"eng"}],"corr_author":"1","file":[{"relation":"main_file","date_updated":"2022-03-21T09:41:19Z","file_size":2416395,"date_created":"2022-03-21T09:41:19Z","access_level":"open_access","content_type":"application/pdf","file_id":"10911","success":1,"checksum":"51ec9b90e7da919e22c01a15489eaacd","creator":"dernst","file_name":"2022_FrontiersNeuroanatomy_Eguchi.pdf"}],"publication_identifier":{"eissn":["1662-5129"]},"abstract":[{"lang":"eng","text":"Upon the arrival of action potentials at nerve terminals, neurotransmitters are released from synaptic vesicles (SVs) by exocytosis. CaV2.1, 2.2, and 2.3 are the major subunits of the voltage-gated calcium channel (VGCC) responsible for increasing intraterminal calcium levels and triggering SV exocytosis in the central nervous system (CNS) synapses. The two-dimensional analysis of CaV2 distributions using sodium dodecyl sulfate (SDS)-digested freeze-fracture replica labeling (SDS-FRL) has revealed their numbers, densities, and nanoscale clustering patterns in individual presynaptic active zones. The variation in these properties affects the coupling of VGCCs with calcium sensors on SVs, synaptic efficacy, and temporal precision of transmission. In this study, we summarize how the morphological parameters of CaV2 distribution obtained using SDS-FRL differ depending on the different types of synapses and could correspond to functional properties in synaptic transmission."}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"ddc":["570"],"date_updated":"2026-04-16T08:18:54Z","publication":"Frontiers in Neuroanatomy","date_created":"2022-03-20T23:01:39Z","date_published":"2022-02-24T00:00:00Z","month":"02","ec_funded":1,"article_type":"original","scopus_import":"1","year":"2022","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","title":"The number and distinct clustering patterns of voltage-gated Calcium channels in nerve terminals","day":"24","external_id":{"pmid":["35280978"],"isi":["000766662700001"]},"publisher":"Frontiers","file_date_updated":"2022-03-21T09:41:19Z","volume":16,"oa":1,"_id":"10890","oa_version":"Published Version","project":[{"call_identifier":"H2020","name":"In situ analysis of single channel subunit composition in neurons: physiological implication in synaptic plasticity and behaviour","_id":"25CA28EA-B435-11E9-9278-68D0E5697425","grant_number":"694539"},{"name":"LGI1 antibody-induced pathophysiology in synapses","grant_number":"I04638","_id":"05970B30-7A3F-11EA-A408-12923DDC885E"}],"department":[{"_id":"RySh"}],"citation":{"chicago":"Eguchi, Kohgaku, Jacqueline-Claire Montanaro-Punzengruber, Elodie Le Monnier, and Ryuichi Shigemoto. “The Number and Distinct Clustering Patterns of Voltage-Gated Calcium Channels in Nerve Terminals.” <i>Frontiers in Neuroanatomy</i>. Frontiers, 2022. <a href=\"https://doi.org/10.3389/fnana.2022.846615\">https://doi.org/10.3389/fnana.2022.846615</a>.","ama":"Eguchi K, Montanaro-Punzengruber J-C, Le Monnier E, Shigemoto R. The number and distinct clustering patterns of voltage-gated Calcium channels in nerve terminals. <i>Frontiers in Neuroanatomy</i>. 2022;16. doi:<a href=\"https://doi.org/10.3389/fnana.2022.846615\">10.3389/fnana.2022.846615</a>","apa":"Eguchi, K., Montanaro-Punzengruber, J.-C., Le Monnier, E., &#38; Shigemoto, R. (2022). The number and distinct clustering patterns of voltage-gated Calcium channels in nerve terminals. <i>Frontiers in Neuroanatomy</i>. Frontiers. <a href=\"https://doi.org/10.3389/fnana.2022.846615\">https://doi.org/10.3389/fnana.2022.846615</a>","short":"K. Eguchi, J.-C. Montanaro-Punzengruber, E. Le Monnier, R. Shigemoto, Frontiers in Neuroanatomy 16 (2022).","mla":"Eguchi, Kohgaku, et al. “The Number and Distinct Clustering Patterns of Voltage-Gated Calcium Channels in Nerve Terminals.” <i>Frontiers in Neuroanatomy</i>, vol. 16, 846615, Frontiers, 2022, doi:<a href=\"https://doi.org/10.3389/fnana.2022.846615\">10.3389/fnana.2022.846615</a>.","ista":"Eguchi K, Montanaro-Punzengruber J-C, Le Monnier E, Shigemoto R. 2022. The number and distinct clustering patterns of voltage-gated Calcium channels in nerve terminals. Frontiers in Neuroanatomy. 16, 846615.","ieee":"K. Eguchi, J.-C. Montanaro-Punzengruber, E. Le Monnier, and R. Shigemoto, “The number and distinct clustering patterns of voltage-gated Calcium channels in nerve terminals,” <i>Frontiers in Neuroanatomy</i>, vol. 16. Frontiers, 2022."},"article_number":"846615","pmid":1,"article_processing_charge":"No","quality_controlled":"1","author":[{"last_name":"Eguchi","id":"2B7846DC-F248-11E8-B48F-1D18A9856A87","first_name":"Kohgaku","orcid":"0000-0002-6170-2546","full_name":"Eguchi, Kohgaku"},{"last_name":"Montanaro-Punzengruber","first_name":"Jacqueline-Claire","id":"3786AB44-F248-11E8-B48F-1D18A9856A87","full_name":"Montanaro-Punzengruber, Jacqueline-Claire"},{"last_name":"Le Monnier","id":"3B59276A-F248-11E8-B48F-1D18A9856A87","first_name":"Elodie","full_name":"Le Monnier, Elodie"},{"id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","first_name":"Ryuichi","orcid":"0000-0001-8761-9444","full_name":"Shigemoto, Ryuichi","last_name":"Shigemoto"}],"publication_status":"published","type":"journal_article","isi":1,"doi":"10.3389/fnana.2022.846615","intvolume":"        16","has_accepted_license":"1","acknowledgement":"This work was supported by the European Research Council advanced grant No. 694539 and the joint German-Austrian DFG and FWF project SYNABS (FWF: I-4638-B) to RS.\r\nThe authors thank Walter Kaufmann for his critical comments on the manuscript.","status":"public"},{"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","scopus_import":"1","article_type":"original","year":"2022","day":"16","title":"Femtosecond rotational dynamics of D2 molecules in superfluid helium nanodroplets","date_updated":"2026-04-16T08:18:26Z","publication":"Physical Review Letters","date_created":"2022-07-10T22:01:52Z","month":"06","ec_funded":1,"date_published":"2022-06-16T00:00:00Z","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0031-9007"],"eissn":["1079-7114"]},"abstract":[{"lang":"eng","text":"Rotational dynamics of D2 molecules inside helium nanodroplets is induced by a moderately intense femtosecond pump pulse and measured as a function of time by recording the yield of HeD+ ions, created through strong-field dissociative ionization with a delayed femtosecond probe pulse. The yield oscillates with a period of 185 fs, reflecting field-free rotational wave packet dynamics, and the oscillation persists for more than 500 periods. Within the experimental uncertainty, the rotational constant BHe of the in-droplet D2 molecule, determined by Fourier analysis, is the same as Bgas for an isolated D2 molecule. Our observations show that the D2 molecules inside helium nanodroplets essentially rotate as free D2 molecules."}],"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2201.09281","open_access":"1"}],"OA_type":"green","doi":"10.1103/PhysRevLett.128.243201","intvolume":"       128","isi":1,"issue":"24","status":"public","pmid":1,"article_processing_charge":"No","quality_controlled":"1","article_number":"243201","OA_place":"repository","type":"journal_article","publication_status":"published","author":[{"full_name":"Qiang, Junjie","first_name":"Junjie","last_name":"Qiang"},{"last_name":"Zhou","first_name":"Lianrong","full_name":"Zhou, Lianrong"},{"first_name":"Peifen","full_name":"Lu, Peifen","last_name":"Lu"},{"last_name":"Lin","first_name":"Kang","full_name":"Lin, Kang"},{"last_name":"Ma","full_name":"Ma, Yongzhe","first_name":"Yongzhe"},{"last_name":"Pan","first_name":"Shengzhe","full_name":"Pan, Shengzhe"},{"full_name":"Lu, Chenxu","first_name":"Chenxu","last_name":"Lu"},{"first_name":"Wenyu","full_name":"Jiang, Wenyu","last_name":"Jiang"},{"last_name":"Sun","first_name":"Fenghao","full_name":"Sun, Fenghao"},{"last_name":"Zhang","full_name":"Zhang, Wenbin","first_name":"Wenbin"},{"first_name":"Hui","full_name":"Li, Hui","last_name":"Li"},{"full_name":"Gong, Xiaochun","first_name":"Xiaochun","last_name":"Gong"},{"full_name":"Averbukh, Ilya Sh","first_name":"Ilya Sh","last_name":"Averbukh"},{"full_name":"Prior, Yehiam","first_name":"Yehiam","last_name":"Prior"},{"first_name":"Constant A.","full_name":"Schouder, Constant A.","last_name":"Schouder"},{"last_name":"Stapelfeldt","first_name":"Henrik","full_name":"Stapelfeldt, Henrik"},{"last_name":"Cherepanov","id":"339C7E5A-F248-11E8-B48F-1D18A9856A87","first_name":"Igor","full_name":"Cherepanov, Igor"},{"last_name":"Lemeshko","full_name":"Lemeshko, Mikhail","orcid":"0000-0002-6990-7802","first_name":"Mikhail","id":"37CB05FA-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Jäger","full_name":"Jäger, Wolfgang","first_name":"Wolfgang"},{"first_name":"Jian","full_name":"Wu, Jian","last_name":"Wu"}],"oa":1,"_id":"11552","oa_version":"Preprint","volume":128,"project":[{"name":"Angulon: physics and applications of a new quasiparticle","call_identifier":"H2020","grant_number":"801770","_id":"2688CF98-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","name":"International IST Doctoral Program","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"department":[{"_id":"MiLe"}],"citation":{"ieee":"J. Qiang <i>et al.</i>, “Femtosecond rotational dynamics of D2 molecules in superfluid helium nanodroplets,” <i>Physical Review Letters</i>, vol. 128, no. 24. American Physical Society, 2022.","ista":"Qiang J, Zhou L, Lu P, Lin K, Ma Y, Pan S, Lu C, Jiang W, Sun F, Zhang W, Li H, Gong X, Averbukh IS, Prior Y, Schouder CA, Stapelfeldt H, Cherepanov I, Lemeshko M, Jäger W, Wu J. 2022. Femtosecond rotational dynamics of D2 molecules in superfluid helium nanodroplets. Physical Review Letters. 128(24), 243201.","mla":"Qiang, Junjie, et al. “Femtosecond Rotational Dynamics of D2 Molecules in Superfluid Helium Nanodroplets.” <i>Physical Review Letters</i>, vol. 128, no. 24, 243201, American Physical Society, 2022, doi:<a href=\"https://doi.org/10.1103/PhysRevLett.128.243201\">10.1103/PhysRevLett.128.243201</a>.","short":"J. Qiang, L. Zhou, P. Lu, K. Lin, Y. Ma, S. Pan, C. Lu, W. Jiang, F. Sun, W. Zhang, H. Li, X. Gong, I.S. Averbukh, Y. Prior, C.A. Schouder, H. Stapelfeldt, I. Cherepanov, M. Lemeshko, W. Jäger, J. Wu, Physical Review Letters 128 (2022).","apa":"Qiang, J., Zhou, L., Lu, P., Lin, K., Ma, Y., Pan, S., … Wu, J. (2022). Femtosecond rotational dynamics of D2 molecules in superfluid helium nanodroplets. <i>Physical Review Letters</i>. American Physical Society. <a href=\"https://doi.org/10.1103/PhysRevLett.128.243201\">https://doi.org/10.1103/PhysRevLett.128.243201</a>","ama":"Qiang J, Zhou L, Lu P, et al. Femtosecond rotational dynamics of D2 molecules in superfluid helium nanodroplets. <i>Physical Review Letters</i>. 2022;128(24). doi:<a href=\"https://doi.org/10.1103/PhysRevLett.128.243201\">10.1103/PhysRevLett.128.243201</a>","chicago":"Qiang, Junjie, Lianrong Zhou, Peifen Lu, Kang Lin, Yongzhe Ma, Shengzhe Pan, Chenxu Lu, et al. “Femtosecond Rotational Dynamics of D2 Molecules in Superfluid Helium Nanodroplets.” <i>Physical Review Letters</i>. American Physical Society, 2022. <a href=\"https://doi.org/10.1103/PhysRevLett.128.243201\">https://doi.org/10.1103/PhysRevLett.128.243201</a>."},"arxiv":1,"external_id":{"arxiv":["2201.09281"],"isi":["000820659700002"],"pmid":["35776471"]},"publisher":"American Physical Society"},{"degree_awarded":"PhD","alternative_title":["ISTA Thesis"],"language":[{"iso":"eng"}],"corr_author":"1","file":[{"creator":"cchlebak","checksum":"083722acbb8115e52e3b0fdec6226769","file_name":"thesis_gsperl.pdf","file_id":"12371","title":"Thesis","content_type":"application/pdf","description":"This is the main PDF file of the thesis. File size: 105 MB","date_created":"2023-01-25T12:04:41Z","access_level":"open_access","relation":"main_file","date_updated":"2023-02-02T09:29:57Z","file_size":104497530},{"content_type":"application/pdf","file_id":"12483","title":"Thesis (compressed 23MB)","file_name":"thesis_gsperl_compressed.pdf","checksum":"511f82025e5fcb70bff4731d6896ca07","creator":"cchlebak","date_updated":"2023-02-02T09:33:37Z","file_size":23183710,"relation":"main_file","date_created":"2023-02-02T09:33:37Z","access_level":"open_access","description":"This version of the thesis uses stronger image compression for a smaller file size of 23MB."},{"date_updated":"2023-02-02T09:39:25Z","file_size":98382247,"relation":"source_file","date_created":"2023-02-02T09:39:25Z","access_level":"open_access","file_name":"thesis-source.zip","checksum":"ed4cb85225eedff761c25bddfc37a2ed","creator":"cchlebak","content_type":"application/x-zip-compressed","file_id":"12484"}],"publication_identifier":{"issn":["2663-337X"],"isbn":["978-3-99078-020-6"]},"abstract":[{"lang":"eng","text":"The complex yarn structure of knitted and woven fabrics gives rise to both a mechanical and\r\nvisual complexity. The small-scale interactions of yarns colliding with and pulling on each\r\nother result in drastically different large-scale stretching and bending behavior, introducing\r\nanisotropy, curling, and more. While simulating cloth as individual yarns can reproduce this\r\ncomplexity and match the quality of real fabric, it may be too computationally expensive for\r\nlarge fabrics. On the other hand, continuum-based approaches do not need to discretize the\r\ncloth at a stitch-level, but it is non-trivial to find a material model that would replicate the\r\nlarge-scale behavior of yarn fabrics, and they discard the intricate visual detail. In this thesis,\r\nwe discuss three methods to try and bridge the gap between small-scale and large-scale yarn\r\nmechanics using numerical homogenization: fitting a continuum model to periodic yarn simulations, adding mechanics-aware yarn detail onto thin-shell simulations, and quantitatively\r\nfitting yarn parameters to physical measurements of real fabric.\r\nTo start, we present a method for animating yarn-level cloth effects using a thin-shell solver.\r\nWe first use a large number of periodic yarn-level simulations to build a model of the potential\r\nenergy density of the cloth, and then use it to compute forces in a thin-shell simulator. The\r\nresulting simulations faithfully reproduce expected effects like the stiffening of woven fabrics\r\nand the highly deformable nature and anisotropy of knitted fabrics at a fraction of the cost of\r\nfull yarn-level simulation.\r\nWhile our thin-shell simulations are able to capture large-scale yarn mechanics, they lack\r\nthe rich visual detail of yarn-level simulations. Therefore, we propose a method to animate\r\nyarn-level cloth geometry on top of an underlying deforming mesh in a mechanics-aware\r\nfashion in real time. Using triangle strains to interpolate precomputed yarn geometry, we are\r\nable to reproduce effects such as knit loops tightening under stretching at negligible cost.\r\nFinally, we introduce a methodology for inverse-modeling of yarn-level mechanics of cloth,\r\nbased on the mechanical response of fabrics in the real world. We compile a database from\r\nphysical tests of several knitted fabrics used in the textile industry spanning diverse physical\r\nproperties like stiffness, nonlinearity, and anisotropy. We then develop a system for approximating these mechanical responses with yarn-level cloth simulation, using homogenized\r\nshell models to speed up computation and adding some small-but-necessary extensions to\r\nyarn-level models used in computer graphics.\r\n"}],"year":"2022","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","title":"Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting","day":"22","page":"138","ddc":["000","620"],"date_updated":"2026-04-16T08:31:54Z","date_created":"2023-01-24T10:49:46Z","date_published":"2022-09-22T00:00:00Z","month":"09","ec_funded":1,"file_date_updated":"2023-02-02T09:39:25Z","oa":1,"_id":"12358","oa_version":"Published Version","project":[{"_id":"2533E772-B435-11E9-9278-68D0E5697425","grant_number":"638176","call_identifier":"H2020","name":"Big Splash: Efficient Simulation of Natural Phenomena at Extremely Large Scales"}],"citation":{"short":"G. Sperl, Homogenizing Yarn Simulations: Large-Scale Mechanics, Small-Scale Detail, and Quantitative Fitting, Institute of Science and Technology Austria, 2022.","ama":"Sperl G. Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting. 2022. doi:<a href=\"https://doi.org/10.15479/at:ista:12103\">10.15479/at:ista:12103</a>","apa":"Sperl, G. (2022). <i>Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:12103\">https://doi.org/10.15479/at:ista:12103</a>","chicago":"Sperl, Georg. “Homogenizing Yarn Simulations: Large-Scale Mechanics, Small-Scale Detail, and Quantitative Fitting.” Institute of Science and Technology Austria, 2022. <a href=\"https://doi.org/10.15479/at:ista:12103\">https://doi.org/10.15479/at:ista:12103</a>.","ieee":"G. Sperl, “Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting,” Institute of Science and Technology Austria, 2022.","ista":"Sperl G. 2022. Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting. Institute of Science and Technology Austria.","mla":"Sperl, Georg. <i>Homogenizing Yarn Simulations: Large-Scale Mechanics, Small-Scale Detail, and Quantitative Fitting</i>. Institute of Science and Technology Austria, 2022, doi:<a href=\"https://doi.org/10.15479/at:ista:12103\">10.15479/at:ista:12103</a>."},"department":[{"_id":"GradSch"},{"_id":"ChWo"}],"publisher":"Institute of Science and Technology Austria","acknowledged_ssus":[{"_id":"SSU"}],"doi":"10.15479/at:ista:12103","has_accepted_license":"1","status":"public","supervisor":[{"full_name":"Wojtan, Christopher J","orcid":"0000-0001-6646-5546","id":"3C61F1D2-F248-11E8-B48F-1D18A9856A87","first_name":"Christopher J","last_name":"Wojtan"}],"OA_place":"publisher","related_material":{"record":[{"status":"public","id":"11736","relation":"part_of_dissertation"},{"id":"9818","status":"public","relation":"part_of_dissertation"},{"id":"8385","status":"public","relation":"part_of_dissertation"}]},"article_processing_charge":"No","publication_status":"published","author":[{"id":"4DD40360-F248-11E8-B48F-1D18A9856A87","first_name":"Georg","full_name":"Sperl, Georg","last_name":"Sperl"}],"type":"dissertation"},{"language":[{"iso":"eng"}],"alternative_title":["LNCS"],"main_file_link":[{"url":" https://doi.org/10.48550/arXiv.2105.02013","open_access":"1"}],"abstract":[{"lang":"eng","text":"We study the problem of specifying sequential information-flow properties of systems. Information-flow properties are hyperproperties, as they compare different traces of a system. Sequential information-flow properties can express changes, over time, in the information-flow constraints. For example, information-flow constraints during an initialization phase of a system may be different from information-flow constraints that are required during the operation phase. We formalize several variants of interpreting sequential information-flow constraints, which arise from different assumptions about what can be observed of the system. For this purpose, we introduce a first-order logic, called Hypertrace Logic, with both trace and time quantifiers for specifying linear-time hyperproperties. We prove that HyperLTL, which corresponds to a fragment of Hypertrace Logic with restricted quantifier prefixes, cannot specify the majority of the studied variants of sequential information flow, including all variants in which the transition between sequential phases (such as initialization and operation) happens asynchronously. Our results rely on new equivalences between sets of traces that cannot be distinguished by certain classes of formulas from Hypertrace Logic. This presents a new approach to proving inexpressiveness results for HyperLTL."}],"publication_identifier":{"eisbn":["9783030945831"],"issn":["0302-9743"],"eissn":["1611-3349"],"isbn":["9783030945824"]},"page":"1-19","date_created":"2022-02-20T23:01:34Z","publication":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","date_updated":"2026-04-16T09:13:43Z","date_published":"2022-01-14T00:00:00Z","month":"01","scopus_import":"1","year":"2022","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","title":"Flavors of sequential information flow","day":"14","arxiv":1,"publisher":"Springer Nature","external_id":{"isi":["001059208500001"],"arxiv":["2105.02013"]},"volume":13182,"conference":{"end_date":"2022-01-18","start_date":"2022-01-16","name":"VMCAI: Verifcation, Model Checking, and Abstract Interpretation","location":"Philadelphia, PA, United States"},"_id":"10774","oa_version":"Preprint","oa":1,"citation":{"short":"E. Bartocci, T. Ferrere, T.A. Henzinger, D. Nickovic, A.O. Da Costa, in:, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, 2022, pp. 1–19.","ama":"Bartocci E, Ferrere T, Henzinger TA, Nickovic D, Da Costa AO. Flavors of sequential information flow. In: <i>Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i>. Vol 13182. Springer Nature; 2022:1-19. doi:<a href=\"https://doi.org/10.1007/978-3-030-94583-1_1\">10.1007/978-3-030-94583-1_1</a>","apa":"Bartocci, E., Ferrere, T., Henzinger, T. A., Nickovic, D., &#38; Da Costa, A. O. (2022). Flavors of sequential information flow. In <i>Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i> (Vol. 13182, pp. 1–19). Philadelphia, PA, United States: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-030-94583-1_1\">https://doi.org/10.1007/978-3-030-94583-1_1</a>","chicago":"Bartocci, Ezio, Thomas Ferrere, Thomas A Henzinger, Dejan Nickovic, and Ana Oliveira Da Costa. “Flavors of Sequential Information Flow.” In <i>Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i>, 13182:1–19. Springer Nature, 2022. <a href=\"https://doi.org/10.1007/978-3-030-94583-1_1\">https://doi.org/10.1007/978-3-030-94583-1_1</a>.","ieee":"E. Bartocci, T. Ferrere, T. A. Henzinger, D. Nickovic, and A. O. Da Costa, “Flavors of sequential information flow,” in <i>Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i>, Philadelphia, PA, United States, 2022, vol. 13182, pp. 1–19.","mla":"Bartocci, Ezio, et al. “Flavors of Sequential Information Flow.” <i>Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i>, vol. 13182, Springer Nature, 2022, pp. 1–19, doi:<a href=\"https://doi.org/10.1007/978-3-030-94583-1_1\">10.1007/978-3-030-94583-1_1</a>.","ista":"Bartocci E, Ferrere T, Henzinger TA, Nickovic D, Da Costa AO. 2022. Flavors of sequential information flow. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). VMCAI: Verifcation, Model Checking, and Abstract Interpretation, LNCS, vol. 13182, 1–19."},"department":[{"_id":"ToHe"}],"project":[{"call_identifier":"FWF","name":"Formal methods for the design and analysis of complex systems","grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425"}],"article_processing_charge":"No","quality_controlled":"1","publication_status":"published","author":[{"full_name":"Bartocci, Ezio","first_name":"Ezio","last_name":"Bartocci"},{"last_name":"Ferrere","first_name":"Thomas","id":"40960E6E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5199-3143","full_name":"Ferrere, Thomas"},{"last_name":"Henzinger","orcid":"0000-0002-2985-7724","full_name":"Henzinger, Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","first_name":"Thomas A"},{"full_name":"Nickovic, Dejan","first_name":"Dejan","id":"41BCEE5C-F248-11E8-B48F-1D18A9856A87","last_name":"Nickovic"},{"full_name":"Da Costa, Ana Oliveira","first_name":"Ana Oliveira","last_name":"Da Costa"}],"type":"conference","isi":1,"intvolume":"     13182","doi":"10.1007/978-3-030-94583-1_1","status":"public","acknowledgement":"This work was funded in part by the Wittgenstein Award Z211-N23 of the Austrian Science Fund (FWF) and by the FWF project W1255-N23."},{"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"corr_author":"1","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"A matching is compatible to two or more labeled point sets of size n with labels {1, . . . , n} if its straight-line drawing on each of these point sets is crossing-free. We study the maximum number of edges in a matching compatible to two or more labeled point sets in general position in the plane. We show that for any two labeled sets of n points in convex position there exists a compatible matching with ⌊√2n + 1 − 1⌋ edges. More generally, for any ℓ labeled point sets we construct compatible matchings of size Ω(n1/ℓ). As a corresponding upper bound, we use probabilistic arguments to show that for any ℓ given sets of n points there exists a labeling of each set such that the largest compatible matching has O(n2/(ℓ+1)) edges. Finally, we show that Θ(log n) copies of any set of n points are necessary and sufficient for the existence of labelings of these point sets such that any compatible matching consists only of a single edge."}],"publication_identifier":{"issn":["1526-1719"]},"file":[{"content_type":"application/pdf","file_id":"11940","success":1,"file_name":"2022_JourGraphAlgorithmsApplic_Aichholzer.pdf","checksum":"dc6e255e3558faff924fd9e370886c11","creator":"dernst","relation":"main_file","file_size":694538,"date_updated":"2022-08-22T06:42:42Z","access_level":"open_access","date_created":"2022-08-22T06:42:42Z"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","year":"2022","scopus_import":"1","day":"01","title":"On compatible matchings","date_created":"2022-08-21T22:01:56Z","date_updated":"2026-04-16T09:18:20Z","publication":"Journal of Graph Algorithms and Applications","ddc":["000"],"page":"225-240","ec_funded":1,"month":"06","date_published":"2022-06-01T00:00:00Z","oa":1,"_id":"11938","oa_version":"Published Version","file_date_updated":"2022-08-22T06:42:42Z","volume":26,"citation":{"ista":"Aichholzer O, Arroyo Guevara AM, Masárová Z, Parada I, Perz D, Pilz A, Tkadlec J, Vogtenhuber B. 2022. On compatible matchings. Journal of Graph Algorithms and Applications. 26(2), 225–240.","mla":"Aichholzer, Oswin, et al. “On Compatible Matchings.” <i>Journal of Graph Algorithms and Applications</i>, vol. 26, no. 2, Brown University, 2022, pp. 225–40, doi:<a href=\"https://doi.org/10.7155/jgaa.00591\">10.7155/jgaa.00591</a>.","ieee":"O. Aichholzer <i>et al.</i>, “On compatible matchings,” <i>Journal of Graph Algorithms and Applications</i>, vol. 26, no. 2. Brown University, pp. 225–240, 2022.","chicago":"Aichholzer, Oswin, Alan M Arroyo Guevara, Zuzana Masárová, Irene Parada, Daniel Perz, Alexander Pilz, Josef Tkadlec, and Birgit Vogtenhuber. “On Compatible Matchings.” <i>Journal of Graph Algorithms and Applications</i>. Brown University, 2022. <a href=\"https://doi.org/10.7155/jgaa.00591\">https://doi.org/10.7155/jgaa.00591</a>.","short":"O. Aichholzer, A.M. Arroyo Guevara, Z. Masárová, I. Parada, D. Perz, A. Pilz, J. Tkadlec, B. Vogtenhuber, Journal of Graph Algorithms and Applications 26 (2022) 225–240.","apa":"Aichholzer, O., Arroyo Guevara, A. M., Masárová, Z., Parada, I., Perz, D., Pilz, A., … Vogtenhuber, B. (2022). On compatible matchings. <i>Journal of Graph Algorithms and Applications</i>. Brown University. <a href=\"https://doi.org/10.7155/jgaa.00591\">https://doi.org/10.7155/jgaa.00591</a>","ama":"Aichholzer O, Arroyo Guevara AM, Masárová Z, et al. On compatible matchings. <i>Journal of Graph Algorithms and Applications</i>. 2022;26(2):225-240. doi:<a href=\"https://doi.org/10.7155/jgaa.00591\">10.7155/jgaa.00591</a>"},"department":[{"_id":"UlWa"},{"_id":"HeEd"},{"_id":"KrCh"}],"project":[{"call_identifier":"H2020","name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425"},{"grant_number":"Z00342","_id":"268116B8-B435-11E9-9278-68D0E5697425","name":"Mathematics, Computer Science","call_identifier":"FWF"},{"call_identifier":"FP7","name":"Quantitative Graph Games: Theory and Applications","grant_number":"279307","_id":"2581B60A-B435-11E9-9278-68D0E5697425"},{"name":"Modern Graph Algorithmic Techniques in Formal Verification","call_identifier":"FWF","grant_number":"P 23499-N23","_id":"2584A770-B435-11E9-9278-68D0E5697425"},{"grant_number":"S11407","_id":"25863FF4-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Game Theory"}],"arxiv":1,"publisher":"Brown University","external_id":{"arxiv":["2101.03928"]},"intvolume":"        26","doi":"10.7155/jgaa.00591","status":"public","issue":"2","has_accepted_license":"1","acknowledgement":"A.A. funded by the Marie Sklodowska-Curie grant agreement No 754411. Z.M. partially funded by Wittgenstein Prize, Austrian Science Fund (FWF), grant no. Z 342-N31. I.P., D.P., and B.V. partially supported by FWF within the collaborative DACH project Arrangements and Drawings as FWF project I 3340-N35. A.P. supported by a Schrödinger fellowship of the FWF: J-3847-N35. J.T. partially supported by ERC Start grant no. (279307: Graph Games), FWF grant no. P23499-N23 and S11407-N23 (RiSE).","quality_controlled":"1","article_processing_charge":"No","related_material":{"record":[{"status":"public","id":"9296","relation":"earlier_version"}]},"type":"journal_article","publication_status":"published","author":[{"first_name":"Oswin","full_name":"Aichholzer, Oswin","last_name":"Aichholzer"},{"last_name":"Arroyo Guevara","first_name":"Alan M","id":"3207FDC6-F248-11E8-B48F-1D18A9856A87","full_name":"Arroyo Guevara, Alan M","orcid":"0000-0003-2401-8670"},{"last_name":"Masárová","full_name":"Masárová, Zuzana","orcid":"0000-0002-6660-1322","id":"45CFE238-F248-11E8-B48F-1D18A9856A87","first_name":"Zuzana"},{"full_name":"Parada, Irene","first_name":"Irene","last_name":"Parada"},{"last_name":"Perz","full_name":"Perz, Daniel","first_name":"Daniel"},{"last_name":"Pilz","first_name":"Alexander","full_name":"Pilz, Alexander"},{"last_name":"Tkadlec","first_name":"Josef","id":"3F24CCC8-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-1097-9684","full_name":"Tkadlec, Josef"},{"first_name":"Birgit","full_name":"Vogtenhuber, Birgit","last_name":"Vogtenhuber"}]},{"tmp":{"name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","image":"/image/cc_by_nd.png","short":"CC BY-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nd/4.0/legalcode"},"degree_awarded":"PhD","keyword":["neural networks","verification","machine learning"],"publication_identifier":{"isbn":["978-3-99078-017-6"]},"abstract":[{"lang":"eng","text":"Deep learning has enabled breakthroughs in challenging computing problems and has emerged as the standard problem-solving tool for computer vision and natural language processing tasks.\r\nOne exception to this trend is safety-critical tasks where robustness and resilience requirements contradict the black-box nature of neural networks. \r\nTo deploy deep learning methods for these tasks, it is vital to provide guarantees on neural network agents' safety and robustness criteria. \r\nThis can be achieved by developing formal verification methods to verify the safety and robustness properties of neural networks.\r\n\r\nOur goal is to design, develop and assess safety verification methods for neural networks to improve their reliability and trustworthiness in real-world applications.\r\nThis thesis establishes techniques for the verification of compressed and adversarially trained models as well as the design of novel neural networks for verifiably safe decision-making.\r\n\r\nFirst, we establish the problem of verifying quantized neural networks. Quantization is a technique that trades numerical precision for the computational efficiency of running a neural network and is widely adopted in industry.\r\nWe show that neglecting the reduced precision when verifying a neural network can lead to wrong conclusions about the robustness and safety of the network, highlighting that novel techniques for quantized network verification are necessary. We introduce several bit-exact verification methods explicitly designed for quantized neural networks and experimentally confirm on realistic networks that the network's robustness and other formal properties are affected by the quantization.\r\n\r\nFurthermore, we perform a case study providing evidence that adversarial training, a standard technique for making neural networks more robust, has detrimental effects on the network's performance. This robustness-accuracy tradeoff has been studied before regarding the accuracy obtained on classification datasets where each data point is independent of all other data points. On the other hand, we investigate the tradeoff empirically in robot learning settings where a both, a high accuracy and a high robustness, are desirable.\r\nOur results suggest that the negative side-effects of adversarial training outweigh its robustness benefits in practice.\r\n\r\nFinally, we consider the problem of verifying safety when running a Bayesian neural network policy in a feedback loop with systems over the infinite time horizon. Bayesian neural networks are probabilistic models for learning uncertainties in the data and are therefore often used on robotic and healthcare applications where data is inherently stochastic.\r\nWe introduce a method for recalibrating Bayesian neural networks so that they yield probability distributions over safe decisions only.\r\nOur method learns a safety certificate that guarantees safety over the infinite time horizon to determine which decisions are safe in every possible state of the system.\r\nWe demonstrate the effectiveness of our approach on a series of reinforcement learning benchmarks."}],"file":[{"file_id":"11378","content_type":"application/zip","creator":"mlechner","checksum":"8eefa9c7c10ca7e1a2ccdd731962a645","file_name":"src.zip","access_level":"closed","date_created":"2022-05-13T12:33:26Z","date_updated":"2022-05-13T12:49:00Z","relation":"source_file","file_size":13210143},{"date_updated":"2022-05-17T15:19:39Z","file_size":2732536,"relation":"main_file","access_level":"open_access","date_created":"2022-05-16T08:02:28Z","content_type":"application/pdf","file_id":"11382","file_name":"thesis_main-a2.pdf","checksum":"1b9e1e5a9a83ed9d89dad2f5133dc026","creator":"mlechner"}],"corr_author":"1","alternative_title":["ISTA Thesis"],"language":[{"iso":"eng"}],"day":"12","title":"Learning verifiable representations","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","year":"2022","ec_funded":1,"month":"05","date_published":"2022-05-12T00:00:00Z","date_created":"2022-05-12T07:14:01Z","date_updated":"2026-04-16T09:46:06Z","ddc":["004"],"page":"124","citation":{"ama":"Lechner M. Learning verifiable representations. 2022. doi:<a href=\"https://doi.org/10.15479/at:ista:11362\">10.15479/at:ista:11362</a>","apa":"Lechner, M. (2022). <i>Learning verifiable representations</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:11362\">https://doi.org/10.15479/at:ista:11362</a>","short":"M. Lechner, Learning Verifiable Representations, Institute of Science and Technology Austria, 2022.","chicago":"Lechner, Mathias. “Learning Verifiable Representations.” Institute of Science and Technology Austria, 2022. <a href=\"https://doi.org/10.15479/at:ista:11362\">https://doi.org/10.15479/at:ista:11362</a>.","ieee":"M. Lechner, “Learning verifiable representations,” Institute of Science and Technology Austria, 2022.","ista":"Lechner M. 2022. Learning verifiable representations. Institute of Science and Technology Austria.","mla":"Lechner, Mathias. <i>Learning Verifiable Representations</i>. Institute of Science and Technology Austria, 2022, doi:<a href=\"https://doi.org/10.15479/at:ista:11362\">10.15479/at:ista:11362</a>."},"department":[{"_id":"GradSch"},{"_id":"ToHe"}],"project":[{"name":"Formal methods for the design and analysis of complex systems","call_identifier":"FWF","_id":"25F42A32-B435-11E9-9278-68D0E5697425","grant_number":"Z211"},{"call_identifier":"H2020","name":"Vigilant Algorithmic Monitoring of Software","_id":"62781420-2b32-11ec-9570-8d9b63373d4d","grant_number":"101020093"}],"oa_version":"Published Version","_id":"11362","oa":1,"file_date_updated":"2022-05-17T15:19:39Z","publisher":"Institute of Science and Technology Austria","has_accepted_license":"1","status":"public","doi":"10.15479/at:ista:11362","type":"dissertation","author":[{"last_name":"Lechner","first_name":"Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87","full_name":"Lechner, Mathias"}],"publication_status":"published","article_processing_charge":"No","related_material":{"record":[{"id":"11366","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","status":"public","id":"10665"},{"id":"10667","status":"public","relation":"part_of_dissertation"},{"status":"public","id":"10666","relation":"part_of_dissertation"},{"status":"public","id":"7808","relation":"part_of_dissertation"}]},"supervisor":[{"first_name":"Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","full_name":"Henzinger, Thomas A","orcid":"0000-0002-2985-7724","last_name":"Henzinger"}],"OA_place":"publisher"},{"doi":"10.1364/oe.449985","intvolume":"        30","status":"public","issue":"16","pmid":1,"quality_controlled":"1","article_processing_charge":"No","OA_place":"publisher","type":"journal_article","DOAJ_listed":"1","extern":"1","author":[{"first_name":"Zin","full_name":"Lin, Zin","last_name":"Lin"},{"first_name":"Raphaël","full_name":"Pestourie, Raphaël","last_name":"Pestourie"},{"first_name":"Charles","id":"e2e68fc9-6505-11ef-a541-eb4e72cc3e82","full_name":"Roques-Carmes, Charles","last_name":"Roques-Carmes"},{"first_name":"Zhaoyi","full_name":"Li, Zhaoyi","last_name":"Li"},{"last_name":"Capasso","first_name":"Federico","full_name":"Capasso, Federico"},{"full_name":"Soljačić, Marin","first_name":"Marin","last_name":"Soljačić"},{"last_name":"Johnson","first_name":"Steven G.","full_name":"Johnson, Steven G."}],"publication_status":"published","oa_version":"Published Version","_id":"21638","oa":1,"volume":30,"citation":{"ista":"Lin Z, Pestourie R, Roques-Carmes C, Li Z, Capasso F, Soljačić M, Johnson SG. 2022. End-to-end metasurface inverse design for single-shot multi-channel imaging. Optics Express. 30(16), 28358–28370.","mla":"Lin, Zin, et al. “End-to-End Metasurface Inverse Design for Single-Shot Multi-Channel Imaging.” <i>Optics Express</i>, vol. 30, no. 16, Optica Publishing Group, 2022, pp. 28358–70, doi:<a href=\"https://doi.org/10.1364/oe.449985\">10.1364/oe.449985</a>.","ieee":"Z. Lin <i>et al.</i>, “End-to-end metasurface inverse design for single-shot multi-channel imaging,” <i>Optics Express</i>, vol. 30, no. 16. Optica Publishing Group, pp. 28358–28370, 2022.","chicago":"Lin, Zin, Raphaël Pestourie, Charles Roques-Carmes, Zhaoyi Li, Federico Capasso, Marin Soljačić, and Steven G. Johnson. “End-to-End Metasurface Inverse Design for Single-Shot Multi-Channel Imaging.” <i>Optics Express</i>. Optica Publishing Group, 2022. <a href=\"https://doi.org/10.1364/oe.449985\">https://doi.org/10.1364/oe.449985</a>.","short":"Z. Lin, R. Pestourie, C. Roques-Carmes, Z. Li, F. Capasso, M. Soljačić, S.G. Johnson, Optics Express 30 (2022) 28358–28370.","apa":"Lin, Z., Pestourie, R., Roques-Carmes, C., Li, Z., Capasso, F., Soljačić, M., &#38; Johnson, S. G. (2022). End-to-end metasurface inverse design for single-shot multi-channel imaging. <i>Optics Express</i>. Optica Publishing Group. <a href=\"https://doi.org/10.1364/oe.449985\">https://doi.org/10.1364/oe.449985</a>","ama":"Lin Z, Pestourie R, Roques-Carmes C, et al. End-to-end metasurface inverse design for single-shot multi-channel imaging. <i>Optics Express</i>. 2022;30(16):28358-28370. doi:<a href=\"https://doi.org/10.1364/oe.449985\">10.1364/oe.449985</a>"},"arxiv":1,"external_id":{"pmid":[" 36299033"],"arxiv":["2111.01071"]},"publisher":"Optica Publishing Group","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","article_type":"original","year":"2022","scopus_import":"1","day":"19","title":"End-to-end metasurface inverse design for single-shot multi-channel imaging","publication":"Optics Express","date_updated":"2026-04-27T09:09:05Z","date_created":"2026-03-30T12:22:48Z","page":"28358-28370","ddc":["530"],"month":"07","date_published":"2022-07-19T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1094-4087"]},"abstract":[{"lang":"eng","text":"We introduce end-to-end inverse design for multi-channel imaging, in which a nanophotonic frontend is optimized in conjunction with an image-processing backend to extract depth, spectral and polarization channels from a single monochrome image. Unlike diffractive optics, we show that subwavelength-scale “metasurface” designs can easily distinguish similar wavelength and polarization inputs. The proposed technique integrates a single-layer metasurface frontend with an efficient Tikhonov reconstruction backend, without any additional optics except a grayscale sensor. Our method yields multi-channel imaging by spontaneous demultiplexing: the metaoptics front-end separates different channels into distinct spatial domains whose locations on the sensor are optimally discovered by the inverse-design algorithm. We present large-area metasurface designs, compatible with standard lithography, for multi-spectral imaging, depth-spectral imaging, and “all-in-one” spectro-polarimetric-depth imaging with robust reconstruction performance (≲ 10% error with 1% detector noise). In contrast to neural networks, our framework is physically interpretable and does not require large training sets. It can be used to reconstruct arbitrary three-dimensional scenes with full multi-wavelength spectra and polarization textures."}],"main_file_link":[{"url":"https://doi.org/10.1364/OE.449985","open_access":"1"}],"OA_type":"gold"},{"status":"public","issue":"6583","intvolume":"       375","doi":"10.1126/science.abm9293","author":[{"last_name":"Roques-Carmes","full_name":"Roques-Carmes, Charles","id":"e2e68fc9-6505-11ef-a541-eb4e72cc3e82","first_name":"Charles"},{"first_name":"Nicholas","full_name":"Rivera, Nicholas","last_name":"Rivera"},{"first_name":"Ali","full_name":"Ghorashi, Ali","last_name":"Ghorashi"},{"last_name":"Kooi","first_name":"Steven E.","full_name":"Kooi, Steven E."},{"last_name":"Yang","full_name":"Yang, Yi","first_name":"Yi"},{"last_name":"Lin","full_name":"Lin, Zin","first_name":"Zin"},{"first_name":"Justin","full_name":"Beroz, Justin","last_name":"Beroz"},{"full_name":"Massuda, Aviram","first_name":"Aviram","last_name":"Massuda"},{"last_name":"Sloan","first_name":"Jamison","full_name":"Sloan, Jamison"},{"last_name":"Romeo","first_name":"Nicolas","full_name":"Romeo, Nicolas"},{"full_name":"Yu, Yang","first_name":"Yang","last_name":"Yu"},{"full_name":"Joannopoulos, John D.","first_name":"John D.","last_name":"Joannopoulos"},{"last_name":"Kaminer","first_name":"Ido","full_name":"Kaminer, Ido"},{"last_name":"Johnson","first_name":"Steven G.","full_name":"Johnson, Steven G."},{"last_name":"Soljačić","first_name":"Marin","full_name":"Soljačić, Marin"}],"publication_status":"published","extern":"1","type":"journal_article","OA_place":"repository","article_number":"837","article_processing_charge":"No","quality_controlled":"1","citation":{"ama":"Roques-Carmes C, Rivera N, Ghorashi A, et al. A framework for scintillation in nanophotonics. <i>Science</i>. 2022;375(6583). doi:<a href=\"https://doi.org/10.1126/science.abm9293\">10.1126/science.abm9293</a>","short":"C. Roques-Carmes, N. Rivera, A. Ghorashi, S.E. Kooi, Y. Yang, Z. Lin, J. Beroz, A. Massuda, J. Sloan, N. Romeo, Y. Yu, J.D. Joannopoulos, I. Kaminer, S.G. Johnson, M. Soljačić, Science 375 (2022).","apa":"Roques-Carmes, C., Rivera, N., Ghorashi, A., Kooi, S. E., Yang, Y., Lin, Z., … Soljačić, M. (2022). A framework for scintillation in nanophotonics. <i>Science</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/science.abm9293\">https://doi.org/10.1126/science.abm9293</a>","chicago":"Roques-Carmes, Charles, Nicholas Rivera, Ali Ghorashi, Steven E. Kooi, Yi Yang, Zin Lin, Justin Beroz, et al. “A Framework for Scintillation in Nanophotonics.” <i>Science</i>. American Association for the Advancement of Science, 2022. <a href=\"https://doi.org/10.1126/science.abm9293\">https://doi.org/10.1126/science.abm9293</a>.","ieee":"C. Roques-Carmes <i>et al.</i>, “A framework for scintillation in nanophotonics,” <i>Science</i>, vol. 375, no. 6583. American Association for the Advancement of Science, 2022.","mla":"Roques-Carmes, Charles, et al. “A Framework for Scintillation in Nanophotonics.” <i>Science</i>, vol. 375, no. 6583, 837, American Association for the Advancement of Science, 2022, doi:<a href=\"https://doi.org/10.1126/science.abm9293\">10.1126/science.abm9293</a>.","ista":"Roques-Carmes C, Rivera N, Ghorashi A, Kooi SE, Yang Y, Lin Z, Beroz J, Massuda A, Sloan J, Romeo N, Yu Y, Joannopoulos JD, Kaminer I, Johnson SG, Soljačić M. 2022. A framework for scintillation in nanophotonics. Science. 375(6583), 837."},"volume":375,"oa":1,"_id":"21584","oa_version":"Preprint","publisher":"American Association for the Advancement of Science","external_id":{"arxiv":["2110.11492"]},"arxiv":1,"title":"A framework for scintillation in nanophotonics","day":"25","year":"2022","scopus_import":"1","article_type":"original","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","date_published":"2022-02-25T00:00:00Z","month":"02","date_created":"2026-03-30T12:22:48Z","date_updated":"2026-04-27T09:06:48Z","publication":"Science","OA_type":"green","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2110.11492","open_access":"1"}],"publication_identifier":{"issn":["0036-8075"],"eissn":["1095-9203"]},"abstract":[{"text":"Bombardment of materials by high-energy particles often leads to light emission in a process known as scintillation. Scintillation has widespread applications in medical imaging, x-ray nondestructive inspection, electron microscopy, and high-energy particle detectors. Most research focuses on finding materials with brighter, faster, and more controlled scintillation. We developed a unified theory of nanophotonic scintillators that accounts for the key aspects of scintillation: energy loss by high-energy particles, and light emission by non-equilibrium electrons in nanostructured optical systems. We then devised an approach based on integrating nanophotonic structures into scintillators to enhance their emission, obtaining nearly an order-of-magnitude enhancement in both electron-induced and x-ray–induced scintillation. Our framework should enable the development of a new class of brighter, faster, and higher-resolution scintillators with tailored and optimized performance.","lang":"eng"}],"language":[{"iso":"eng"}]},{"citation":{"ama":"Roques-Carmes C, Lin Z, Christiansen RE, et al. Toward 3D-printed inverse-designed metaoptics. <i>ACS Photonics</i>. 2022;9(1):43-51. doi:<a href=\"https://doi.org/10.1021/acsphotonics.1c01442\">10.1021/acsphotonics.1c01442</a>","short":"C. Roques-Carmes, Z. Lin, R.E. Christiansen, Y. Salamin, S.E. Kooi, J.D. Joannopoulos, S.G. Johnson, M. Soljačić, ACS Photonics 9 (2022) 43–51.","apa":"Roques-Carmes, C., Lin, Z., Christiansen, R. E., Salamin, Y., Kooi, S. E., Joannopoulos, J. D., … Soljačić, M. (2022). Toward 3D-printed inverse-designed metaoptics. <i>ACS Photonics</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acsphotonics.1c01442\">https://doi.org/10.1021/acsphotonics.1c01442</a>","chicago":"Roques-Carmes, Charles, Zin Lin, Rasmus E. Christiansen, Yannick Salamin, Steven E. Kooi, John D. Joannopoulos, Steven G. Johnson, and Marin Soljačić. “Toward 3D-Printed Inverse-Designed Metaoptics.” <i>ACS Photonics</i>. American Chemical Society, 2022. <a href=\"https://doi.org/10.1021/acsphotonics.1c01442\">https://doi.org/10.1021/acsphotonics.1c01442</a>.","ieee":"C. Roques-Carmes <i>et al.</i>, “Toward 3D-printed inverse-designed metaoptics,” <i>ACS Photonics</i>, vol. 9, no. 1. American Chemical Society, pp. 43–51, 2022.","ista":"Roques-Carmes C, Lin Z, Christiansen RE, Salamin Y, Kooi SE, Joannopoulos JD, Johnson SG, Soljačić M. 2022. Toward 3D-printed inverse-designed metaoptics. ACS Photonics. 9(1), 43–51.","mla":"Roques-Carmes, Charles, et al. “Toward 3D-Printed Inverse-Designed Metaoptics.” <i>ACS Photonics</i>, vol. 9, no. 1, American Chemical Society, 2022, pp. 43–51, doi:<a href=\"https://doi.org/10.1021/acsphotonics.1c01442\">10.1021/acsphotonics.1c01442</a>."},"volume":9,"oa_version":"Preprint","_id":"21527","oa":1,"external_id":{"arxiv":["2105.11326"]},"publisher":"American Chemical Society","arxiv":1,"issue":"1","status":"public","doi":"10.1021/acsphotonics.1c01442","intvolume":"         9","author":[{"first_name":"Charles","id":"e2e68fc9-6505-11ef-a541-eb4e72cc3e82","full_name":"Roques-Carmes, Charles","last_name":"Roques-Carmes"},{"last_name":"Lin","first_name":"Zin","full_name":"Lin, Zin"},{"last_name":"Christiansen","first_name":"Rasmus E.","full_name":"Christiansen, Rasmus E."},{"first_name":"Yannick","full_name":"Salamin, Yannick","last_name":"Salamin"},{"last_name":"Kooi","first_name":"Steven E.","full_name":"Kooi, Steven E."},{"full_name":"Joannopoulos, John D.","first_name":"John D.","last_name":"Joannopoulos"},{"last_name":"Johnson","full_name":"Johnson, Steven G.","first_name":"Steven G."},{"last_name":"Soljačić","first_name":"Marin","full_name":"Soljačić, Marin"}],"publication_status":"published","type":"journal_article","extern":"1","OA_place":"repository","quality_controlled":"1","article_processing_charge":"No","keyword":["metasurfaces","inverse design","multilayered metaoptics","3D printing","topology optimization"],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2105.11326"}],"OA_type":"green","abstract":[{"text":"Optical metasurfaces have been heralded as the platform to integrate multiple functionalities in a compact form-factor, with the potential to replace bulky optical components. A central stepping stone toward realizing this promise is the demonstration of multifunctionality under several constraints (e.g., at multiple incident wavelengths and/or angles) in a single device, an achievement being hampered by design limitations inherent to single-layer planar geometries. Here, we propose a framework for the inverse design of multilayer metaoptics via topology optimization, showing that even few-wavelength thick devices can achieve high-efficiency multifunctionality, such as multiangle light concentration and plan-achromaticity. We embody our framework in multiple closely spaced patterned layers of a low-index polymer, with fabrication constraints specific to this platform enforced in the optimization process. We experimentally demonstrate our approach with an inverse-designed 3D-printed light concentrator working at five different nonparaxial angles of incidence. Our framework paves the way toward realizing multifunctional ultracompact 3D nanophotonic devices.","lang":"eng"}],"publication_identifier":{"eissn":["2330-4022"]},"language":[{"iso":"eng"}],"title":"Toward 3D-printed inverse-designed metaoptics","day":"07","scopus_import":"1","article_type":"letter_note","year":"2022","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","date_published":"2022-01-07T00:00:00Z","month":"01","page":"43-51","ddc":["530"],"date_updated":"2026-04-27T09:14:46Z","publication":"ACS Photonics","date_created":"2026-03-30T12:22:47Z"}]