--- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '18779' abstract: - lang: eng text: Unsupervised segmentation in biological and non-biological images is only partially resolved. Segmentation either requires arbitrary thresholds or large teaching datasets. Here, we propose a spatial autocorrelation method based on Local Moran’s I coefficient to differentiate signal, background, and noise in any type of image. The method, originally described for geoinformatics, does not require a predefined intensity threshold or teaching algorithm for image segmentation and allows quantitative comparison of samples obtained in different conditions. It utilizes relative intensity as well as spatial information of neighboring elements to select spatially contiguous groups of pixels. We demonstrate that Moran’s method outperforms threshold-based method in both artificially generated as well as in natural images especially when background noise is substantial. This superior performance can be attributed to the exclusion of false positive pixels resulting from isolated, high intensity pixels in high noise conditions. To test the method’s power in real situation, we used high power confocal images of the somatosensory thalamus immunostained for Kv4.2 and Kv4.3 (A-type) voltage-gated potassium channels in mice. Moran’s method identified high-intensity Kv4.2 and Kv4.3 ion channel clusters in the thalamic neuropil. Spatial distribution of these clusters displayed strong correlation with large sensory axon terminals of subcortical origin. The unique association of the special presynaptic terminals and a postsynaptic voltage-gated ion channel cluster was confirmed with electron microscopy. These data demonstrate that Moran’s method is a rapid, simple image segmentation method optimal for variable and high noise conditions. acknowledgement: "This research was supported by the Wellcome Trust (ZN, LA). In addition, LA was supported by an ERC Advanced Grant (FRONTHAL, 742595) and the European Union project RRF-2.3.1-\r\n21-2022-00004 within the framework of the Artificial Intelligence National Laboratory and Lendület_2023_90. ZN is the recipient of a Hungarian Academy of Sciences Momentum Grant (Lendület, LP2012-29) and an ERC Advanced Grant (293681). We thank the Light Microscopy Center at Institute of Experimental Medicine for kindly providing microscopy support. Authors would like to express their deepest gratitude to Prof Luc Anselin (Center for Spatial Data Science, University of Chicago) and Dr Szabolcs Káli (Instiute of Experimental Medicine, Budapest) for the valuable discussion about analysis of spatial association, and to Krisztina Faddi for the excellent technical assistance. " article_number: '89361' article_processing_charge: Yes article_type: original author: - first_name: Csaba full_name: Dávid, Csaba last_name: Dávid - first_name: Kristóf full_name: Giber, Kristóf last_name: Giber - first_name: Margit Katalin full_name: Szigeti, Margit Katalin id: 44F4BDC0-F248-11E8-B48F-1D18A9856A87 last_name: Szigeti orcid: 0000-0001-9500-8758 - first_name: Mihály full_name: Köllő, Mihály last_name: Köllő - first_name: Zoltan full_name: Nusser, Zoltan last_name: Nusser - first_name: Laszlo full_name: Acsady, Laszlo last_name: Acsady citation: ama: Dávid C, Giber K, Szigeti MK, Köllő M, Nusser Z, Acsady L. A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus. eLife. 2024;12. doi:10.7554/elife.89361 apa: Dávid, C., Giber, K., Szigeti, M. K., Köllő, M., Nusser, Z., & Acsady, L. (2024). A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus. ELife. eLife Sciences Publications. https://doi.org/10.7554/elife.89361 chicago: Dávid, Csaba, Kristóf Giber, Margit Katalin Szigeti, Mihály Köllő, Zoltan Nusser, and Laszlo Acsady. “A Novel Image Segmentation Method Based on Spatial Autocorrelation Identifies A-Type Potassium Channel Clusters in the Thalamus.” ELife. eLife Sciences Publications, 2024. https://doi.org/10.7554/elife.89361. ieee: C. Dávid, K. Giber, M. K. Szigeti, M. Köllő, Z. Nusser, and L. Acsady, “A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus,” eLife, vol. 12. eLife Sciences Publications, 2024. ista: Dávid C, Giber K, Szigeti MK, Köllő M, Nusser Z, Acsady L. 2024. A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus. eLife. 12, 89361. mla: Dávid, Csaba, et al. “A Novel Image Segmentation Method Based on Spatial Autocorrelation Identifies A-Type Potassium Channel Clusters in the Thalamus.” ELife, vol. 12, 89361, eLife Sciences Publications, 2024, doi:10.7554/elife.89361. short: C. Dávid, K. Giber, M.K. Szigeti, M. Köllő, Z. Nusser, L. Acsady, ELife 12 (2024). das_tickbox: '1' dataavailabilitystatement: 'The code for the analysis is available online as a user-friendly MATLAB script at: https://github.com/dcsabaCD225/Moran_Matlab/blob/main/moran_local.m (copy archived at Csaba, 2024). All source data relevant to figures and charts are included in source data files.' date_created: 2025-01-08T13:25:45Z date_published: 2024-12-10T00:00:00Z date_updated: 2026-10-02T09:53:20Z day: '10' ddc: - '570' department: - _id: GaNo doi: 10.7554/elife.89361 file: - access_level: open_access checksum: 1d64265f62a3bf14550b4f5c684f1782 content_type: application/pdf creator: dernst date_created: 2025-01-08T13:33:05Z date_updated: 2025-01-08T13:33:05Z file_id: '18780' file_name: 2024_eLife_David.pdf file_size: 9992462 relation: main_file success: 1 file_date_updated: 2025-01-08T13:33:05Z fulldoi: https://doi.org/10.7554/elife.89361 has_accepted_license: '1' intvolume: ' 12' language: - iso: eng month: '12' oa: 1 oa_version: Published Version publication: eLife publication_identifier: issn: - 2050-084X publication_status: published publisher: eLife Sciences Publications quality_controlled: '1' researchdata_availability: yes scopus_import: '1' status: public supplementarymaterial: yes title: A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 12 year: '2024' ... --- OA_place: repository OA_type: green _id: '17331' abstract: - lang: eng text: Amyloidosis are a group of diseases in which soluble proteins aggregate and deposit in fibrillar conformation extracellularly in tissues. The effectiveness of therapeutic strategies depends on the specific protein involved, being crucial to accurately determine its nature. Moreover, following the diagnosis, the search for the mutation within relatives allows the clinical advice. Here we report the precise diagnosis and explored the possible reasons of the structural pathogenicity for a renal amyloidosis related to a fibrinogen Aα-chain variant. Whole-exome sequencing and GATK calling pipeline were leveraged to characterize the protein variant present in a patient with kidney failure. Bioinformatics strategies were applied to suggest potential explanations of the variants aggregation. Our pipeline allowed the identification of a single-point variant of fibrinogen Aα-chain, which opened the possibility of curative transplantation. In silico structural analysis suggested that the pathogenicity of the variant may be attributed to a heightened susceptibility to yield a peptide prone to deposit as an oligomer with a β-sheet structure. Exploiting the comprehensive coverage of whole-genome sequencing, we managed to fill a vacant stage in the diagnosis of hereditary amyloidosis and to stimulate the advancement in biomedicine. acknowledgement: The authors acknowledge Rosana del Cid for her help with English corrections, Mario Ramos for the figure editions, and Gabriela Finarelli for technical assistance. S.A. Rosú, N.A. Ramella, and M.A. Tricerri acknowledge support from Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) (Grant PIP 11220200102381), Agencia Nacional de Promoción Científica y Tecnológica (PICT 2019-03592), Universidad Nacional de La Plata (UNLP) (Grants M234 and PPID M014), and Fundación Florencio Fiorini. The authors warmly thank M.P. for her willingness to conduct these studies. article_processing_charge: No article_type: original author: - first_name: Elizabeth R full_name: Cattaneo, Elizabeth R last_name: Cattaneo - first_name: Romina A full_name: Gisonno, Romina A id: a9e08d76-6a98-11ec-8f7b-c777fe5ca519 last_name: Gisonno - first_name: Martín C full_name: Abba, Martín C last_name: Abba - first_name: Marianela full_name: Santana, Marianela last_name: Santana - first_name: Silvana A full_name: Rosú, Silvana A last_name: Rosú - first_name: Elsa full_name: Nucifora, Elsa last_name: Nucifora - first_name: María A full_name: Aguirre, María A last_name: Aguirre - first_name: María C full_name: Giordani, María C last_name: Giordani - first_name: M. Alejandra full_name: Tricerri, M. Alejandra last_name: Tricerri - first_name: Nahuel A full_name: Ramella, Nahuel A last_name: Ramella citation: ama: 'Cattaneo ER, Gisonno RA, Abba MC, et al. Hereditary amyloidosis: Insights into a fibrinogen A variant protein. Proteins: Structure, Function and Bioinformatics. 2024;92(12):1366-1374. doi:10.1002/prot.26732' apa: 'Cattaneo, E. R., Gisonno, R. A., Abba, M. C., Santana, M., Rosú, S. A., Nucifora, E., … Ramella, N. A. (2024). Hereditary amyloidosis: Insights into a fibrinogen A variant protein. Proteins: Structure, Function and Bioinformatics. Wiley. https://doi.org/10.1002/prot.26732' chicago: 'Cattaneo, Elizabeth R, Romina A Gisonno, Martín C Abba, Marianela Santana, Silvana A Rosú, Elsa Nucifora, María A Aguirre, María C Giordani, M. Alejandra Tricerri, and Nahuel A Ramella. “Hereditary Amyloidosis: Insights into a Fibrinogen A Variant Protein.” Proteins: Structure, Function and Bioinformatics. Wiley, 2024. https://doi.org/10.1002/prot.26732.' ieee: 'E. R. Cattaneo et al., “Hereditary amyloidosis: Insights into a fibrinogen A variant protein,” Proteins: Structure, Function and Bioinformatics, vol. 92, no. 12. Wiley, pp. 1366–1374, 2024.' ista: 'Cattaneo ER, Gisonno RA, Abba MC, Santana M, Rosú SA, Nucifora E, Aguirre MA, Giordani MC, Tricerri MA, Ramella NA. 2024. Hereditary amyloidosis: Insights into a fibrinogen A variant protein. Proteins: Structure, Function and Bioinformatics. 92(12), 1366–1374.' mla: 'Cattaneo, Elizabeth R., et al. “Hereditary Amyloidosis: Insights into a Fibrinogen A Variant Protein.” Proteins: Structure, Function and Bioinformatics, vol. 92, no. 12, Wiley, 2024, pp. 1366–74, doi:10.1002/prot.26732.' short: 'E.R. Cattaneo, R.A. Gisonno, M.C. Abba, M. Santana, S.A. Rosú, E. Nucifora, M.A. Aguirre, M.C. Giordani, M.A. Tricerri, N.A. Ramella, Proteins: Structure, Function and Bioinformatics 92 (2024) 1366–1374.' das_tickbox: '1' dataavailabilitystatement: The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. date_created: 2024-07-28T22:01:10Z date_published: 2024-12-01T00:00:00Z date_updated: 2026-10-02T09:56:43Z day: '01' department: - _id: GaNo doi: 10.1002/prot.26732 external_id: isi: - '001272128100001' pmid: - '39031927' fulldoi: https://doi.org/10.1002/prot.26732 intvolume: ' 92' isi: 1 issue: '12' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.22541/au.171804763.37967262/v1 month: '12' oa: 1 oa_version: Preprint page: 1366-1374 pmid: 1 publication: 'Proteins: Structure, Function and Bioinformatics' publication_identifier: eissn: - 1097-0134 issn: - 0887-3585 publication_status: published publisher: Wiley quality_controlled: '1' researchdata_availability: upon request scopus_import: '1' status: public supplementarymaterial: yes title: 'Hereditary amyloidosis: Insights into a fibrinogen A variant protein' type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 92 year: '2024' ... --- _id: '17091' abstract: - lang: eng text: DNA sequences are connected to genes and functions in the developing and adult brain article_processing_charge: No article_type: letter_note author: - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Christoph full_name: Bock, Christoph last_name: Bock citation: ama: Novarino G, Bock C. Mapping the brain’s gene-regulatory maze. Science. 2024;384(6698):860-861. doi:10.1126/science.adp4663 apa: Novarino, G., & Bock, C. (2024). Mapping the brain’s gene-regulatory maze. Science. AAAS. https://doi.org/10.1126/science.adp4663 chicago: Novarino, Gaia, and Christoph Bock. “Mapping the Brain’s Gene-Regulatory Maze.” Science. AAAS, 2024. https://doi.org/10.1126/science.adp4663. ieee: G. Novarino and C. Bock, “Mapping the brain’s gene-regulatory maze,” Science, vol. 384, no. 6698. AAAS, pp. 860–861, 2024. ista: Novarino G, Bock C. 2024. Mapping the brain’s gene-regulatory maze. Science. 384(6698), 860–861. mla: Novarino, Gaia, and Christoph Bock. “Mapping the Brain’s Gene-Regulatory Maze.” Science, vol. 384, no. 6698, AAAS, 2024, pp. 860–61, doi:10.1126/science.adp4663. short: G. Novarino, C. Bock, Science 384 (2024) 860–861. corr_author: '1' das_tickbox: '0' date_created: 2024-06-02T22:00:57Z date_published: 2024-05-24T00:00:00Z date_updated: 2026-10-02T09:50:30Z day: '24' department: - _id: GaNo doi: 10.1126/science.adp4663 external_id: isi: - '001230076500007' pmid: - '38781359' fulldoi: https://doi.org/10.1126/science.adp4663 intvolume: ' 384' isi: 1 issue: '6698' language: - iso: eng month: '05' oa_version: None page: 860-861 pmid: 1 publication: Science publication_identifier: eissn: - 1095-9203 issn: - 0036-8075 publication_status: published publisher: AAAS quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: Mapping the brain’s gene-regulatory maze type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 384 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '18307' abstract: - lang: eng text: Vaccination is the most effective tool to control infectious diseases. However, the evolution of vaccine resistance, exemplified by vaccine resistance in SARS-CoV-2, remains a concern. Here, we model complex vaccination strategies against a pathogen with multiple epitopes—molecules targeted by the vaccine. We found that a vaccine targeting one epitope was ineffective in preventing vaccine escape. Vaccine resistance in highly infectious pathogens was prevented by the full-epitope vaccine, that is, one targeting all available epitopes, but only when the rate of pathogen evolution was low. Strikingly, a bet-hedging strategy of random administration of vaccines targeting different epitopes was the most effective in preventing vaccine resistance in pathogens with the low rate of infection and high rate of evolution. Thus, complex vaccination strategies, when biologically feasible, may be preferable to the currently used single-vaccine approaches for long-term control of disease outbreaks, especially when applied to livestock with near 100% vaccination rates. acknowledgement: We thank Raimundo Julian Saona Urmeneta, Maike Morrison, Sergey Kryazhimskiy, Hiroki Ishikawa, Simone Pigolotti, and Shingo Miyauchi for fruitful discussions. We also thank the participants of the FRISBI seminar at ISTA for useful comments. article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Simon full_name: Rella, Simon id: B4765ACA-AA38-11E9-AC9A-0930E6697425 last_name: Rella - first_name: Yuliya A. full_name: Kulikova, Yuliya A. last_name: Kulikova - first_name: Aygul full_name: Minnegalieva, Aygul id: 87DF77F0-1D9A-11EA-B6AE-CE443DDC885E last_name: Minnegalieva - first_name: Fyodor full_name: Kondrashov, Fyodor id: 44FDEF62-F248-11E8-B48F-1D18A9856A87 last_name: Kondrashov orcid: 0000-0001-8243-4694 citation: ama: 'Rella S, Kulikova YA, Minnegalieva A, Kondrashov F. Complex vaccination strategies prevent the emergence of vaccine resistance. Evolution: International journal of organic evolution. 2024;78(10):1722-1738. doi:10.1093/evolut/qpae106' apa: 'Rella, S., Kulikova, Y. A., Minnegalieva, A., & Kondrashov, F. (2024). Complex vaccination strategies prevent the emergence of vaccine resistance. Evolution: International Journal of Organic Evolution. Oxford University Press. https://doi.org/10.1093/evolut/qpae106' chicago: 'Rella, Simon, Yuliya A. Kulikova, Aygul Minnegalieva, and Fyodor Kondrashov. “Complex Vaccination Strategies Prevent the Emergence of Vaccine Resistance.” Evolution: International Journal of Organic Evolution. Oxford University Press, 2024. https://doi.org/10.1093/evolut/qpae106.' ieee: 'S. Rella, Y. A. Kulikova, A. Minnegalieva, and F. Kondrashov, “Complex vaccination strategies prevent the emergence of vaccine resistance,” Evolution: International journal of organic evolution, vol. 78, no. 10. Oxford University Press, pp. 1722–1738, 2024.' ista: 'Rella S, Kulikova YA, Minnegalieva A, Kondrashov F. 2024. Complex vaccination strategies prevent the emergence of vaccine resistance. Evolution: International journal of organic evolution. 78(10), 1722–1738.' mla: 'Rella, Simon, et al. “Complex Vaccination Strategies Prevent the Emergence of Vaccine Resistance.” Evolution: International Journal of Organic Evolution, vol. 78, no. 10, Oxford University Press, 2024, pp. 1722–38, doi:10.1093/evolut/qpae106.' short: 'S. Rella, Y.A. Kulikova, A. Minnegalieva, F. Kondrashov, Evolution: International Journal of Organic Evolution 78 (2024) 1722–1738.' corr_author: '1' das_tickbox: '1' dataavailabilitystatement: Results and figures derive from the model, described in detail in the main text. The code is available at github.com/Simon-Re/complex-vaccination. date_created: 2024-10-13T22:01:50Z date_published: 2024-10-01T00:00:00Z date_updated: 2026-10-02T10:12:20Z day: '01' ddc: - '570' department: - _id: GaTk doi: 10.1093/evolut/qpae106 external_id: isi: - '001286581900001' pmid: - '38990788' file: - access_level: open_access checksum: 5c6e8475bb88b07d424a5130d5e91e74 content_type: application/pdf creator: dernst date_created: 2024-10-21T09:34:50Z date_updated: 2024-10-21T09:34:50Z file_id: '18453' file_name: 2024_Evolution_Rella.pdf file_size: 29360811 relation: main_file success: 1 file_date_updated: 2024-10-21T09:34:50Z fulldoi: https://doi.org/10.1093/evolut/qpae106 has_accepted_license: '1' intvolume: ' 78' isi: 1 issue: '10' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ month: '10' oa: 1 oa_version: Published Version page: 1722-1738 pmid: 1 publication: 'Evolution: International journal of organic evolution' publication_identifier: eissn: - 1558-5646 publication_status: published publisher: Oxford University Press quality_controlled: '1' related_material: link: - relation: software url: https://github.com/Simon-Re/complex-vaccination record: - id: '14862' relation: research_data status: public - id: '20811' relation: dissertation_contains status: public researchdata_availability: yes scopus_import: '1' status: public supplementarymaterial: yes title: Complex vaccination strategies prevent the emergence of vaccine resistance tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 78 year: '2024' ... --- APC_amount: 6468 EUR DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '14793' abstract: - lang: eng text: Superconductor/semiconductor hybrid devices have attracted increasing interest in the past years. Superconducting electronics aims to complement semiconductor technology, while hybrid architectures are at the forefront of new ideas such as topological superconductivity and protected qubits. In this work, we engineer the induced superconductivity in two-dimensional germanium hole gas by varying the distance between the quantum well and the aluminum. We demonstrate a hard superconducting gap and realize an electrically and flux tunable superconducting diode using a superconducting quantum interference device (SQUID). This allows to tune the current phase relation (CPR), to a regime where single Cooper pair tunneling is suppressed, creating a sin(2y) CPR. Shapiro experiments complement this interpretation and the microwave drive allows to create a diode with ≈ 100% efficiency. The reported results open up the path towards integration of spin qubit devices, microwave resonators and (protected) superconducting qubits on the same silicon technology compatible platform. acknowledged_ssus: - _id: M-Shop - _id: NanoFab acknowledgement: "We acknowledge Alexander Brinkmann, Alessandro Crippa, Francesco Giazotto, Andrew Higginbotham, Andrea Iorio, Giordano Scappucci, Christian Schonenberger, and Lukas Splitthoff for helpful discussions. We thank Marcel Verheijen for the support in the TEM analysis. This research and related results were made possible with the support of the NOMIS\r\nFoundation. It was supported by the Scientific Service Units of ISTA through resources provided by the MIBA Machine Shop and the nanofabrication facility, the European Union’s Horizon 2020 research andinnovation programme under Grant Agreement No 862046, the HORIZONRIA\r\n101069515 project, the European Innovation Council Pathfinder grant no. 101115315 (QuKiT), and the FWF Projects #P-32235, #P-36507 and #F-8606. For the purpose of open access, the authors have applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. R.S.S. acknowledges Spanish CM “Talento Program\"\r\nProject No. 2022-T1/IND-24070. J.J. acknowledges European Research Council TOCINA 834290." article_number: '169' article_processing_charge: Yes article_type: original author: - first_name: Marco full_name: Valentini, Marco id: C0BB2FAC-D767-11E9-B658-BC13E6697425 last_name: Valentini - first_name: Oliver full_name: Sagi, Oliver id: 71616374-A8E9-11E9-A7CA-09ECE5697425 last_name: Sagi - first_name: Levon full_name: Baghumyan, Levon id: 7aa1f788-b527-11ee-aa9e-e6111a79e0c7 last_name: Baghumyan - first_name: Thijs full_name: de Gijsel, Thijs id: a0ece13c-b527-11ee-929d-bad130106eee last_name: de Gijsel - first_name: Jason full_name: Jung, Jason id: 4C9ACE7A-F248-11E8-B48F-1D18A9856A87 last_name: Jung - first_name: Stefano full_name: Calcaterra, Stefano last_name: Calcaterra - first_name: Andrea full_name: Ballabio, Andrea last_name: Ballabio - first_name: Juan L full_name: Aguilera Servin, Juan L id: 2A67C376-F248-11E8-B48F-1D18A9856A87 last_name: Aguilera Servin orcid: 0000-0002-2862-8372 - first_name: Kushagra full_name: Aggarwal, Kushagra id: b22ab905-3539-11eb-84c3-fc159dcd79cb last_name: Aggarwal orcid: 0000-0001-9985-9293 - first_name: Marian full_name: Janik, Marian id: 396A1950-F248-11E8-B48F-1D18A9856A87 last_name: Janik orcid: 0009-0003-9037-8831 - first_name: Thomas full_name: Adletzberger, Thomas id: 38756BB2-F248-11E8-B48F-1D18A9856A87 last_name: Adletzberger - first_name: Rubén full_name: Seoane Souto, Rubén last_name: Seoane Souto - first_name: Martin full_name: Leijnse, Martin last_name: Leijnse - first_name: Jeroen full_name: Danon, Jeroen last_name: Danon - first_name: Constantin full_name: Schrade, Constantin last_name: Schrade - first_name: Erik full_name: Bakkers, Erik last_name: Bakkers - first_name: Daniel full_name: Chrastina, Daniel last_name: Chrastina - first_name: Giovanni full_name: Isella, Giovanni last_name: Isella - first_name: Georgios full_name: Katsaros, Georgios id: 38DB5788-F248-11E8-B48F-1D18A9856A87 last_name: Katsaros orcid: 0000-0001-8342-202X citation: ama: Valentini M, Sagi O, Baghumyan L, et al. Parity-conserving Cooper-pair transport and ideal superconducting diode in planar germanium. Nature Communications. 2024;15. doi:10.1038/s41467-023-44114-0 apa: Valentini, M., Sagi, O., Baghumyan, L., de Gijsel, T., Jung, J., Calcaterra, S., … Katsaros, G. (2024). Parity-conserving Cooper-pair transport and ideal superconducting diode in planar germanium. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-023-44114-0 chicago: Valentini, Marco, Oliver Sagi, Levon Baghumyan, Thijs de Gijsel, Jason Jung, Stefano Calcaterra, Andrea Ballabio, et al. “Parity-Conserving Cooper-Pair Transport and Ideal Superconducting Diode in Planar Germanium.” Nature Communications. Springer Nature, 2024. https://doi.org/10.1038/s41467-023-44114-0. ieee: M. Valentini et al., “Parity-conserving Cooper-pair transport and ideal superconducting diode in planar germanium,” Nature Communications, vol. 15. Springer Nature, 2024. ista: Valentini M, Sagi O, Baghumyan L, de Gijsel T, Jung J, Calcaterra S, Ballabio A, Aguilera Servin JL, Aggarwal K, Janik M, Adletzberger T, Seoane Souto R, Leijnse M, Danon J, Schrade C, Bakkers E, Chrastina D, Isella G, Katsaros G. 2024. Parity-conserving Cooper-pair transport and ideal superconducting diode in planar germanium. Nature Communications. 15, 169. mla: Valentini, Marco, et al. “Parity-Conserving Cooper-Pair Transport and Ideal Superconducting Diode in Planar Germanium.” Nature Communications, vol. 15, 169, Springer Nature, 2024, doi:10.1038/s41467-023-44114-0. short: M. Valentini, O. Sagi, L. Baghumyan, T. de Gijsel, J. Jung, S. Calcaterra, A. Ballabio, J.L. Aguilera Servin, K. Aggarwal, M. Janik, T. Adletzberger, R. Seoane Souto, M. Leijnse, J. Danon, C. Schrade, E. Bakkers, D. Chrastina, G. Isella, G. Katsaros, Nature Communications 15 (2024). corr_author: '1' das_tickbox: '1' dataavailabilitystatement: All experimental data included in this work are available at https://zenodo.org/records/10119346. date_created: 2024-01-14T23:00:56Z date_published: 2024-01-02T00:00:00Z date_updated: 2026-10-02T10:23:53Z day: '02' ddc: - '530' department: - _id: GeKa doi: 10.1038/s41467-023-44114-0 ec_funded: 1 external_id: isi: - '001142794000839' pmid: - '38167818' file: - access_level: open_access checksum: ef79173b45eeaf984ffa61ef2f8a52ab content_type: application/pdf creator: dernst date_created: 2024-01-17T11:03:00Z date_updated: 2024-01-17T11:03:00Z file_id: '14825' file_name: 2024_NatureComm_Valentini.pdf file_size: 2336595 relation: main_file success: 1 file_date_updated: 2024-01-17T11:03:00Z fulldoi: https://doi.org/10.1038/s41467-023-44114-0 has_accepted_license: '1' intvolume: ' 15' isi: 1 language: - iso: eng month: '01' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 237E5020-32DE-11EA-91FC-C7463DDC885E call_identifier: H2020 grant_number: '862046' name: TOPOLOGICALLY PROTECTED AND SCALABLE QUANTUM BITS - _id: 34c0acea-11ca-11ed-8bc3-8775e10fd452 grant_number: '101069515' name: Integrated Germanium Quantum Technology - _id: bdc2ca30-d553-11ed-ba76-cf164a5bb811 grant_number: '101115315' name: Quantum bits with Kitaev Transmons - _id: 237B3DA4-32DE-11EA-91FC-C7463DDC885E call_identifier: FWF grant_number: P32235 name: Towards scalable hut wire quantum devices - _id: bd8bd29e-d553-11ed-ba76-f0070d4b237a grant_number: P36507 name: Merging spin and superconducting qubits in planar Ge - _id: 34a66131-11ca-11ed-8bc3-a31681c6b03e grant_number: F8606 name: 'Center for Correlated Quantum Materials and Solid State Quantum Systems: Conventional and unconventional topological superconductors' - _id: 3AC91DDA-15DF-11EA-824D-93A3E7B544D1 call_identifier: FWF name: FWF Open Access Fund publication: Nature Communications publication_identifier: eissn: - 2041-1723 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '13312' relation: earlier_version status: public - id: '23036' relation: research_data status: public researchdata_availability: yes scopus_import: '1' status: public supplementarymaterial: yes title: Parity-conserving Cooper-pair transport and ideal superconducting diode in planar germanium tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 15 year: '2024' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '18902' acknowledgement: 'MZ is supported by National Science Center, Poland, 2021/42/E/NZ2/00188, the Polish National Agency for Academic Exchange, and by a grant from the Priority Research Area DigiWorld under the Strategic Programme Excellence Initiative at Jagiellonian University. Work in JB’s lab is supported by the Francis Crick Institute, which receives its core funding from Cancer Research UK, the UK Medical Research Council and Wellcome Trust (all under CC001051). Work in the AK lab is supported by ISTA, the European Research Council under Horizon Europe: grant 101044579, and Austrian Science Fund (FWF): F78 (Neural Stem Cell Modulation).' article_number: '929' article_processing_charge: Yes article_type: letter_note author: - first_name: Marcin full_name: Zagorski, Marcin last_name: Zagorski - first_name: Nathalie full_name: Brandenberg, Nathalie last_name: Brandenberg - first_name: Matthias full_name: Lutolf, Matthias last_name: Lutolf - first_name: Gašper full_name: Tkačik, Gašper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkačik orcid: 0000-0002-6699-1455 - first_name: Mark Tobias full_name: Bollenbach, Mark Tobias id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87 last_name: Bollenbach orcid: 0000-0003-4398-476X - first_name: James full_name: Briscoe, James last_name: Briscoe - first_name: Anna full_name: Kicheva, Anna id: 3959A2A0-F248-11E8-B48F-1D18A9856A87 last_name: Kicheva orcid: 0000-0003-4509-4998 citation: ama: Zagorski M, Brandenberg N, Lutolf M, et al. Assessing the precision of morphogen gradients in neural tube development. Nature Communications. 2024;15. doi:10.1038/s41467-024-45148-8 apa: Zagorski, M., Brandenberg, N., Lutolf, M., Tkačik, G., Bollenbach, M. T., Briscoe, J., & Kicheva, A. (2024). Assessing the precision of morphogen gradients in neural tube development. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-024-45148-8 chicago: Zagorski, Marcin, Nathalie Brandenberg, Matthias Lutolf, Gašper Tkačik, Mark Tobias Bollenbach, James Briscoe, and Anna Kicheva. “Assessing the Precision of Morphogen Gradients in Neural Tube Development.” Nature Communications. Springer Nature, 2024. https://doi.org/10.1038/s41467-024-45148-8. ieee: M. Zagorski et al., “Assessing the precision of morphogen gradients in neural tube development,” Nature Communications, vol. 15. Springer Nature, 2024. ista: Zagorski M, Brandenberg N, Lutolf M, Tkačik G, Bollenbach MT, Briscoe J, Kicheva A. 2024. Assessing the precision of morphogen gradients in neural tube development. Nature Communications. 15, 929. mla: Zagorski, Marcin, et al. “Assessing the Precision of Morphogen Gradients in Neural Tube Development.” Nature Communications, vol. 15, 929, Springer Nature, 2024, doi:10.1038/s41467-024-45148-8. short: M. Zagorski, N. Brandenberg, M. Lutolf, G. Tkačik, M.T. Bollenbach, J. Briscoe, A. Kicheva, Nature Communications 15 (2024). corr_author: '1' das_tickbox: '1' dataavailabilitystatement: Source data for Figs. 1, 2 is provided in the Source data file. All published data is available from us to interested researchers. Source data are provided with this paper. date_created: 2025-01-27T13:01:01Z date_published: 2024-02-01T00:00:00Z date_updated: 2026-10-02T10:12:59Z day: '01' ddc: - '570' department: - _id: GaTk - _id: AnKi doi: 10.1038/s41467-024-45148-8 external_id: isi: - '001156218500022' pmid: - '38302459' file: - access_level: open_access checksum: acf75f2b6fa84a64d1f590dd4a53cbf7 content_type: application/pdf creator: dernst date_created: 2025-01-27T13:04:03Z date_updated: 2025-01-27T13:04:03Z file_id: '18903' file_name: 2024_NatureComm_Zagorski.pdf file_size: 4723831 relation: main_file success: 1 file_date_updated: 2025-01-27T13:04:03Z fulldoi: https://doi.org/10.1038/s41467-024-45148-8 has_accepted_license: '1' intvolume: ' 15' isi: 1 language: - iso: eng month: '02' oa: 1 oa_version: Published Version pmid: 1 project: - _id: bd7e737f-d553-11ed-ba76-d69ffb5ee3aa grant_number: '101044579' name: Mechanisms of tissue size regulation in spinal cord development - _id: 059DF620-7A3F-11EA-A408-12923DDC885E grant_number: F7802 name: Stem Cell Modulation in Neural Development and Regeneration/ P02-Morphogen control of growth and pattern in the spinal cord publication: Nature Communications publication_identifier: eissn: - 2041-1723 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: yes scopus_import: '1' status: public supplementarymaterial: yes title: Assessing the precision of morphogen gradients in neural tube development tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 15 year: '2024' ... --- DOAJ_listed: '1' _id: '15320' abstract: - lang: eng text: Josephson diodes are superconducting elements that show an asymmetry in the critical current depending on the direction of the current. Here, we theoretically explore how an alternating current bias can tune the response of such a diode. We show that for slow driving there is always a regime where the system can only carry zero-voltage dc current in one direction, thus effectively behaving as an ideal Josephson diode. Under fast driving, the diode efficiency is also tunable, although the ideal regime cannot be reached in this case. We also investigate the residual dissipation due to the time-dependent current bias and show that it remains small. All our conclusions are solely based on the critical current asymmetry of the junction, and are thus compatible with any Josephson diode. acknowledgement: "We acknowledge support from research grants Spanish CM Talento Program (Project No. 2022-T1/IND-24070), Spanish Ministry of Science, innovation, and Universities through Grant No. PID2022-140552NA-I00, Swedish Research Council under Grant Agreement No. 2020-03412, the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 856526, Nanolund, FWF Project with [82],\r\nand Microsoft Corporation. " article_number: L022002 article_processing_charge: Yes article_type: letter_note author: - first_name: Rubén full_name: Seoane Souto, Rubén last_name: Seoane Souto - first_name: Martin full_name: Leijnse, Martin last_name: Leijnse - first_name: Constantin full_name: Schrade, Constantin last_name: Schrade - first_name: Marco full_name: Valentini, Marco id: C0BB2FAC-D767-11E9-B658-BC13E6697425 last_name: Valentini - first_name: Georgios full_name: Katsaros, Georgios id: 38DB5788-F248-11E8-B48F-1D18A9856A87 last_name: Katsaros orcid: 0000-0001-8342-202X - first_name: Jeroen full_name: Danon, Jeroen last_name: Danon citation: ama: Seoane Souto R, Leijnse M, Schrade C, Valentini M, Katsaros G, Danon J. Tuning the Josephson diode response with an ac current. Physical Review Research. 2024;6(2). doi:10.1103/PhysRevResearch.6.L022002 apa: Seoane Souto, R., Leijnse, M., Schrade, C., Valentini, M., Katsaros, G., & Danon, J. (2024). Tuning the Josephson diode response with an ac current. Physical Review Research. American Physical Society. https://doi.org/10.1103/PhysRevResearch.6.L022002 chicago: Seoane Souto, Rubén, Martin Leijnse, Constantin Schrade, Marco Valentini, Georgios Katsaros, and Jeroen Danon. “Tuning the Josephson Diode Response with an Ac Current.” Physical Review Research. American Physical Society, 2024. https://doi.org/10.1103/PhysRevResearch.6.L022002. ieee: R. Seoane Souto, M. Leijnse, C. Schrade, M. Valentini, G. Katsaros, and J. Danon, “Tuning the Josephson diode response with an ac current,” Physical Review Research, vol. 6, no. 2. American Physical Society, 2024. ista: Seoane Souto R, Leijnse M, Schrade C, Valentini M, Katsaros G, Danon J. 2024. Tuning the Josephson diode response with an ac current. Physical Review Research. 6(2), L022002. mla: Seoane Souto, Rubén, et al. “Tuning the Josephson Diode Response with an Ac Current.” Physical Review Research, vol. 6, no. 2, L022002, American Physical Society, 2024, doi:10.1103/PhysRevResearch.6.L022002. short: R. Seoane Souto, M. Leijnse, C. Schrade, M. Valentini, G. Katsaros, J. Danon, Physical Review Research 6 (2024). das_tickbox: '0' date_created: 2024-04-14T22:01:02Z date_published: 2024-04-01T00:00:00Z date_updated: 2026-10-02T10:26:37Z day: '01' ddc: - '530' department: - _id: GeKa doi: 10.1103/PhysRevResearch.6.L022002 file: - access_level: open_access checksum: 7b9cb3b17d89f392bd582e30d7a72a29 content_type: application/pdf creator: dernst date_created: 2024-04-17T07:14:53Z date_updated: 2024-04-17T07:14:53Z file_id: '15327' file_name: 2024_PhysReviewResearch_Souto.pdf file_size: 1073544 relation: main_file success: 1 file_date_updated: 2024-04-17T07:14:53Z fulldoi: https://doi.org/10.1103/PhysRevResearch.6.L022002 has_accepted_license: '1' intvolume: ' 6' issue: '2' language: - iso: eng month: '04' oa: 1 oa_version: Published Version publication: Physical Review Research publication_identifier: eissn: - 2643-1564 publication_status: published publisher: American Physical Society quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: yes title: Tuning the Josephson diode response with an ac current tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 6 year: '2024' ... --- _id: '17389' abstract: - lang: eng text: The potential of Si and SiGe-based devices for the scaling of quantum circuits is tainted by device variability. Each device needs to be tuned to operation conditions and each device realisation requires a different tuning protocol. We demonstrate that it is possible to automate the tuning of a 4-gate Si FinFET, a 5-gate GeSi nanowire and a 7-gate Ge/SiGe heterostructure double quantum dot device from scratch with the same algorithm. We achieve tuning times of 30, 10, and 92 min, respectively. The algorithm also provides insight into the parameter space landscape for each of these devices, allowing for the characterization of the regions where double quantum dot regimes are found. These results show that overarching solutions for the tuning of quantum devices are enabled by machine learning. acknowledged_ssus: - _id: NanoFab acknowledgement: We acknowledge Ang Li, Erik P. A. M. Bakkers (University of Eindhoven) for the fabrication of the Ge/Si nanowire. This work was supported by the Royal Society, the EPSRC National Quantum Technology Hub in Networked Quantum Information Technology (EP/M013243/1), Quantum Technology Capital (EP/N014995/1), EPSRC Platform Grant (EP/R029229/1), the European Research Council (Grant agreement 948932), the Swiss Nanoscience Institute, the NCCR SPIN, the EU H2020 European Microkelvin Platform EMP grant No. 824109, the Scientific Service Units of IST Austria through resources provided by the nanofabrication facility, the FWF-I 05060 and the FWF-P 30207 project. article_number: '17281' article_processing_charge: Yes article_type: original arxiv: 1 author: - first_name: B. full_name: Severin, B. last_name: Severin - first_name: D. T. full_name: Lennon, D. T. last_name: Lennon - first_name: L. C. full_name: Camenzind, L. C. last_name: Camenzind - first_name: F. full_name: Vigneau, F. last_name: Vigneau - first_name: F. full_name: Fedele, F. last_name: Fedele - first_name: Daniel full_name: Jirovec, Daniel id: 4C473F58-F248-11E8-B48F-1D18A9856A87 last_name: Jirovec orcid: 0000-0002-7197-4801 - first_name: A. full_name: Ballabio, A. last_name: Ballabio - first_name: D. full_name: Chrastina, D. last_name: Chrastina - first_name: G. full_name: Isella, G. last_name: Isella - first_name: M. full_name: de Kruijf, M. last_name: de Kruijf - first_name: M. J. full_name: Carballido, M. J. last_name: Carballido - first_name: S. full_name: Svab, S. last_name: Svab - first_name: A. V. full_name: Kuhlmann, A. V. last_name: Kuhlmann - first_name: S. full_name: Geyer, S. last_name: Geyer - first_name: F. N. M. full_name: Froning, F. N. M. last_name: Froning - first_name: H. full_name: Moon, H. last_name: Moon - first_name: M. A. full_name: Osborne, M. A. last_name: Osborne - first_name: D. full_name: Sejdinovic, D. last_name: Sejdinovic - first_name: Georgios full_name: Katsaros, Georgios id: 38DB5788-F248-11E8-B48F-1D18A9856A87 last_name: Katsaros orcid: 0000-0001-8342-202X - first_name: D. M. full_name: Zumbühl, D. M. last_name: Zumbühl - first_name: G. A. D. full_name: Briggs, G. A. D. last_name: Briggs - first_name: N. full_name: Ares, N. last_name: Ares citation: ama: Severin B, Lennon DT, Camenzind LC, et al. Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning. Scientific Reports. 2024;14. doi:10.1038/s41598-024-67787-z apa: Severin, B., Lennon, D. T., Camenzind, L. C., Vigneau, F., Fedele, F., Jirovec, D., … Ares, N. (2024). Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-024-67787-z chicago: Severin, B., D. T. Lennon, L. C. Camenzind, F. Vigneau, F. Fedele, Daniel Jirovec, A. Ballabio, et al. “Cross-Architecture Tuning of Silicon and SiGe-Based Quantum Devices Using Machine Learning.” Scientific Reports. Springer Nature, 2024. https://doi.org/10.1038/s41598-024-67787-z. ieee: B. Severin et al., “Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning,” Scientific Reports, vol. 14. Springer Nature, 2024. ista: Severin B, Lennon DT, Camenzind LC, Vigneau F, Fedele F, Jirovec D, Ballabio A, Chrastina D, Isella G, de Kruijf M, Carballido MJ, Svab S, Kuhlmann AV, Geyer S, Froning FNM, Moon H, Osborne MA, Sejdinovic D, Katsaros G, Zumbühl DM, Briggs GAD, Ares N. 2024. Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning. Scientific Reports. 14, 17281. mla: Severin, B., et al. “Cross-Architecture Tuning of Silicon and SiGe-Based Quantum Devices Using Machine Learning.” Scientific Reports, vol. 14, 17281, Springer Nature, 2024, doi:10.1038/s41598-024-67787-z. short: B. Severin, D.T. Lennon, L.C. Camenzind, F. Vigneau, F. Fedele, D. Jirovec, A. Ballabio, D. Chrastina, G. Isella, M. de Kruijf, M.J. Carballido, S. Svab, A.V. Kuhlmann, S. Geyer, F.N.M. Froning, H. Moon, M.A. Osborne, D. Sejdinovic, G. Katsaros, D.M. Zumbühl, G.A.D. Briggs, N. Ares, Scientific Reports 14 (2024). das_tickbox: '1' dataavailabilitystatement: The data acquired by the algorithm during experiments is available from the corresponding author upon reasonable request. date_created: 2024-08-05T08:50:51Z date_published: 2024-07-27T00:00:00Z date_updated: 2026-10-02T11:04:33Z day: '27' ddc: - '530' department: - _id: GeKa doi: 10.1038/s41598-024-67787-z external_id: arxiv: - '2107.12975' isi: - '001281273100062' pmid: - '39068242' file: - access_level: open_access checksum: 0b34b89e5f4f3f7b32ffadf104394594 content_type: application/pdf creator: dernst date_created: 2024-08-05T08:52:14Z date_updated: 2024-08-05T08:52:14Z file_id: '17390' file_name: 2024_ScientificReports_Severin.pdf file_size: 2255741 relation: main_file success: 1 file_date_updated: 2024-08-05T08:52:14Z fulldoi: https://doi.org/10.1038/s41598-024-67787-z has_accepted_license: '1' intvolume: ' 14' isi: 1 language: - iso: eng month: '07' oa: 1 oa_version: Published Version pmid: 1 project: - _id: c0977eea-5a5b-11eb-8a69-a862db0cf4d1 grant_number: I05060 name: High impedance circuit quantum electrodynamics with hole spins - _id: 2641CE5E-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P30207 name: Hole spin orbit qubits in Ge quantum wells publication: Scientific Reports publication_identifier: issn: - 2045-2322 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '10066' relation: earlier_version status: public researchdata_availability: upon request scopus_import: '1' status: public supplementarymaterial: yes title: Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 14 year: '2024' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '18602' abstract: - lang: eng text: Semiconductor quantum dots (QDs) in planar germanium (Ge) heterostructures have emerged as front-runners for future hole-based quantum processors. Here, we present strong coupling between a hole charge qubit, defined in a double quantum dot (DQD) in planar Ge, and microwave photons in a high-impedance (Zr = 1.3 kΩ) resonator based on an array of superconducting quantum interference devices (SQUIDs). Our investigation reveals vacuum-Rabi splittings with coupling strengths up to g0/2π = 260 MHz, and a cooperativity of C ~ 100, dependent on DQD tuning. Furthermore, utilizing the frequency tunability of our resonator, we explore the quenched energy splitting associated with strong Coulomb correlation effects in Ge QDs. The observed enhanced coherence of the strongly correlated excited state signals the presence of distinct symmetries within related spin functions, serving as a precursor to the strong coupling between photons and spin-charge hybrid qubits in planar Ge. This work paves the way towards coherent quantum connections between remote hole qubits in planar Ge, required to scale up hole-based quantum processors. acknowledgement: The authors thank Simone Frasca, Vincent Jouanny, Guillaume Beaulieu, Camille Roy, Dominic Dahinden, Davide Lombardo, Daniel Chrastina, and Siddhart Gautam for contributing to some cleanroom fabrication steps, the measurement setup, device simulations, data analysis, and for the useful discussions. P.S. acknowledges support from the Swiss National Science Foundation (SNSF) through the grants Ref. No. 200021 200418 and Ref. No. 206021_205335, and from the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 01042765 SEFRI MB22.00081. W.J. acknowledges support from the EPFL QSE Postdoctoral Fellowship Grant. S.B., D.L., and P.S. acknowledge support from the NCCR Spin Qubit in Silicon (NCCR-SPIN) Grant No. 51NF40-180604. M.J., G.K., G.I., and S.C. acknowledge support from the Horizon Europe Project IGNITE ID 101070193. G.K. acknowledges support from the FWF via the P32235 and I05060 projects. article_number: '10177' article_processing_charge: Yes article_type: original author: - first_name: Franco full_name: De Palma, Franco last_name: De Palma - first_name: Fabian full_name: Oppliger, Fabian last_name: Oppliger - first_name: Wonjin full_name: Jang, Wonjin last_name: Jang - first_name: Stefano full_name: Bosco, Stefano last_name: Bosco - first_name: Marian full_name: Janik, Marian id: 396A1950-F248-11E8-B48F-1D18A9856A87 last_name: Janik orcid: 0009-0003-9037-8831 - first_name: Stefano full_name: Calcaterra, Stefano last_name: Calcaterra - first_name: Georgios full_name: Katsaros, Georgios id: 38DB5788-F248-11E8-B48F-1D18A9856A87 last_name: Katsaros orcid: 0000-0001-8342-202X - first_name: Giovanni full_name: Isella, Giovanni last_name: Isella - first_name: Daniel full_name: Loss, Daniel last_name: Loss - first_name: Pasquale full_name: Scarlino, Pasquale last_name: Scarlino citation: ama: De Palma F, Oppliger F, Jang W, et al. Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states. Nature Communications. 2024;15. doi:10.1038/s41467-024-54520-7 apa: De Palma, F., Oppliger, F., Jang, W., Bosco, S., Janik, M., Calcaterra, S., … Scarlino, P. (2024). Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-024-54520-7 chicago: De Palma, Franco, Fabian Oppliger, Wonjin Jang, Stefano Bosco, Marian Janik, Stefano Calcaterra, Georgios Katsaros, Giovanni Isella, Daniel Loss, and Pasquale Scarlino. “Strong Hole-Photon Coupling in Planar Ge for Probing Charge Degree and Strongly Correlated States.” Nature Communications. Springer Nature, 2024. https://doi.org/10.1038/s41467-024-54520-7. ieee: F. De Palma et al., “Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states,” Nature Communications, vol. 15. Springer Nature, 2024. ista: De Palma F, Oppliger F, Jang W, Bosco S, Janik M, Calcaterra S, Katsaros G, Isella G, Loss D, Scarlino P. 2024. Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states. Nature Communications. 15, 10177. mla: De Palma, Franco, et al. “Strong Hole-Photon Coupling in Planar Ge for Probing Charge Degree and Strongly Correlated States.” Nature Communications, vol. 15, 10177, Springer Nature, 2024, doi:10.1038/s41467-024-54520-7. short: F. De Palma, F. Oppliger, W. Jang, S. Bosco, M. Janik, S. Calcaterra, G. Katsaros, G. Isella, D. Loss, P. Scarlino, Nature Communications 15 (2024). das_tickbox: '1' dataavailabilitystatement: The datasets generated during the current study are available in Zenodo with the identifier https://doi.org/10.5281/zenodo.13935167. date_created: 2024-12-01T23:01:53Z date_published: 2024-12-01T00:00:00Z date_updated: 2026-10-02T11:02:23Z day: '01' ddc: - '530' department: - _id: GeKa doi: 10.1038/s41467-024-54520-7 external_id: isi: - '001362684200001' pmid: - '39580488' file: - access_level: open_access checksum: ef9f99a84089c388904cc8aa8d89c55a content_type: application/pdf creator: dernst date_created: 2024-12-03T11:00:15Z date_updated: 2024-12-03T11:00:15Z file_id: '18611' file_name: 2024_NatureComm_dePalma.pdf file_size: 5288092 relation: main_file success: 1 file_date_updated: 2024-12-03T11:00:15Z fulldoi: https://doi.org/10.1038/s41467-024-54520-7 has_accepted_license: '1' intvolume: ' 15' isi: 1 language: - iso: eng month: '12' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 237B3DA4-32DE-11EA-91FC-C7463DDC885E call_identifier: FWF grant_number: P32235 name: Towards scalable hut wire quantum devices - _id: c0977eea-5a5b-11eb-8a69-a862db0cf4d1 grant_number: I05060 name: High impedance circuit quantum electrodynamics with hole spins publication: Nature Communications publication_identifier: eissn: - 2041-1723 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '23037' relation: research_data status: public researchdata_availability: yes scopus_import: '1' status: public supplementarymaterial: yes title: Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 15 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '18653' abstract: - lang: eng text: Charge sensing is a sensitive technique for probing quantum devices, of particular importance for spin-qubit readout. To achieve good readout sensitivities, the proximity of the charge sensor to the device to be measured is a necessity. However, this proximity also means that the operation of the device affects, in turn, the sensor tuning and ultimately the readout sensitivity. We present an approach for compensating for this crosstalk effect allowing for the gate voltages of the measured device to be swept in a 1-V × 1-V window while maintaining a sensor configuration chosen by a Bayesian optimizer. Our algorithm will hopefully be a major contribution to the suite of fully automated solutions required for the operation of large quantum device architectures. acknowledged_ssus: - _id: NanoFab acknowledgement: We thank Nicholas Sim for providing help with the experiment and Sebastian Orbell for helpful discussions. This work was supported by the Royal Society, the Engineering and Physical Sciences Research Council (EPSRC) National Quantum Technology Hub in Networked Quantum Information Technology (Grant No. EP/M013243/1), Quantum Technology Capital (Grant No. EP/N014995/1), the EPSRC Platform Grant (Grant No. EP/R029229/1), the European Research Council (Grant Agreement No. 948932), the Scientific Service Units of the Institute of Science and Technology Austria through resources provided by the nanofabrication facility and, the FWF-I 05060 and HORIZON-RIA 101069515 projects. article_number: '064026' article_processing_charge: No article_type: original author: - first_name: Joseph full_name: Hickie, Joseph last_name: Hickie - first_name: Barnaby full_name: Van Straaten, Barnaby last_name: Van Straaten - first_name: Federico full_name: Fedele, Federico last_name: Fedele - first_name: Daniel full_name: Jirovec, Daniel id: 4C473F58-F248-11E8-B48F-1D18A9856A87 last_name: Jirovec orcid: 0000-0002-7197-4801 - first_name: Andrea full_name: Ballabio, Andrea last_name: Ballabio - first_name: Daniel full_name: Chrastina, Daniel last_name: Chrastina - first_name: Giovanni full_name: Isella, Giovanni last_name: Isella - first_name: Georgios full_name: Katsaros, Georgios id: 38DB5788-F248-11E8-B48F-1D18A9856A87 last_name: Katsaros orcid: 0000-0001-8342-202X - first_name: Natalia full_name: Ares, Natalia last_name: Ares citation: ama: Hickie J, Van Straaten B, Fedele F, et al. Automated long-range compensation of an rf quantum dot sensor. Physical Review Applied. 2024;22(6). doi:10.1103/PhysRevApplied.22.064026 apa: Hickie, J., Van Straaten, B., Fedele, F., Jirovec, D., Ballabio, A., Chrastina, D., … Ares, N. (2024). Automated long-range compensation of an rf quantum dot sensor. Physical Review Applied. American Physical Society. https://doi.org/10.1103/PhysRevApplied.22.064026 chicago: Hickie, Joseph, Barnaby Van Straaten, Federico Fedele, Daniel Jirovec, Andrea Ballabio, Daniel Chrastina, Giovanni Isella, Georgios Katsaros, and Natalia Ares. “Automated Long-Range Compensation of an Rf Quantum Dot Sensor.” Physical Review Applied. American Physical Society, 2024. https://doi.org/10.1103/PhysRevApplied.22.064026. ieee: J. Hickie et al., “Automated long-range compensation of an rf quantum dot sensor,” Physical Review Applied, vol. 22, no. 6. American Physical Society, 2024. ista: Hickie J, Van Straaten B, Fedele F, Jirovec D, Ballabio A, Chrastina D, Isella G, Katsaros G, Ares N. 2024. Automated long-range compensation of an rf quantum dot sensor. Physical Review Applied. 22(6), 064026. mla: Hickie, Joseph, et al. “Automated Long-Range Compensation of an Rf Quantum Dot Sensor.” Physical Review Applied, vol. 22, no. 6, 064026, American Physical Society, 2024, doi:10.1103/PhysRevApplied.22.064026. short: J. Hickie, B. Van Straaten, F. Fedele, D. Jirovec, A. Ballabio, D. Chrastina, G. Isella, G. Katsaros, N. Ares, Physical Review Applied 22 (2024). das_tickbox: '0' date_created: 2024-12-15T23:01:50Z date_published: 2024-12-01T00:00:00Z date_updated: 2026-10-02T11:04:04Z day: '01' ddc: - '530' department: - _id: GeKa doi: 10.1103/PhysRevApplied.22.064026 external_id: isi: - '001379155900003' file: - access_level: open_access checksum: bc29a40819abc4969867b6cd6563f7ad content_type: application/pdf creator: dernst date_created: 2024-12-16T11:13:48Z date_updated: 2024-12-16T11:13:48Z file_id: '18662' file_name: 2024_PhysicalReviewApplied_Hickie.pdf file_size: 3560132 relation: main_file success: 1 file_date_updated: 2024-12-16T11:13:48Z fulldoi: https://doi.org/10.1103/PhysRevApplied.22.064026 has_accepted_license: '1' intvolume: ' 22' isi: 1 issue: '6' language: - iso: eng month: '12' oa: 1 oa_version: Published Version project: - _id: c0977eea-5a5b-11eb-8a69-a862db0cf4d1 grant_number: I05060 name: High impedance circuit quantum electrodynamics with hole spins - _id: 34c0acea-11ca-11ed-8bc3-8775e10fd452 grant_number: '101069515' name: Integrated Germanium Quantum Technology publication: Physical Review Applied publication_identifier: eissn: - 2331-7019 publication_status: published publisher: American Physical Society quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: yes title: Automated long-range compensation of an rf quantum dot sensor tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 22 year: '2024' ... --- OA_place: repository OA_type: green _id: '23037' abstract: - lang: eng text: The data for all figures in the main text can be found in csv files in ASCII format in the corresponing folders. For Figures 4-6, the panels are numbered from top to bottom. article_processing_charge: No author: - first_name: Franco full_name: De Palma, Franco last_name: De Palma - first_name: Fabian full_name: Oppliger, Fabian last_name: Oppliger - first_name: Wonjin full_name: Jang, Wonjin last_name: Jang - first_name: Stefano full_name: Bosco, Stefano last_name: Bosco - first_name: Marián full_name: Janík, Marián last_name: Janík - first_name: Stefano full_name: Calcaterra, Stefano last_name: Calcaterra - first_name: Georgios full_name: Katsaros, Georgios last_name: Katsaros - first_name: Giovanni full_name: Isella, Giovanni last_name: Isella - first_name: Daniel full_name: Loss, Daniel last_name: Loss - first_name: Pasquale full_name: Scarlino, Pasquale last_name: Scarlino citation: ama: De Palma F, Oppliger F, Jang W, et al. Online data of “Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states.” 2024. doi:10.5281/zenodo.13935166 apa: De Palma, F., Oppliger, F., Jang, W., Bosco, S., Janík, M., Calcaterra, S., … Scarlino, P. (2024). Online data of “Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states.” Zenodo. https://doi.org/10.5281/zenodo.13935166 chicago: De Palma, Franco, Fabian Oppliger, Wonjin Jang, Stefano Bosco, Marián Janík, Stefano Calcaterra, Georgios Katsaros, Giovanni Isella, Daniel Loss, and Pasquale Scarlino. “Online Data of ‘Strong Hole-Photon Coupling in Planar Ge for Probing Charge Degree and Strongly Correlated States.’” Zenodo, 2024. https://doi.org/10.5281/zenodo.13935166. ieee: F. De Palma et al., “Online data of ‘Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states.’” Zenodo, 2024. ista: De Palma F, Oppliger F, Jang W, Bosco S, Janík M, Calcaterra S, Katsaros G, Isella G, Loss D, Scarlino P. 2024. Online data of ‘Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states’, Zenodo, 10.5281/zenodo.13935166. mla: De Palma, Franco, et al. Online Data of “Strong Hole-Photon Coupling in Planar Ge for Probing Charge Degree and Strongly Correlated States.” Zenodo, 2024, doi:10.5281/zenodo.13935166. short: F. De Palma, F. Oppliger, W. Jang, S. Bosco, M. Janík, S. Calcaterra, G. Katsaros, G. Isella, D. Loss, P. Scarlino, (2024). contributor: - contributor_type: project_member first_name: Fabian last_name: Oppliger date_created: 2026-10-02T11:02:18Z date_published: 2024-10-15T00:00:00Z date_updated: 2026-10-02T11:02:23Z day: '15' ddc: - '530' department: - _id: GeKa doi: 10.5281/zenodo.13935166 fulldoi: https://doi.org/10.5281/zenodo.13935166 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.13935166 month: '10' oa: 1 oa_version: None publisher: Zenodo related_material: record: - id: '18602' relation: used_in_publication status: public status: public title: Online data of "Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states" type: research_data_reference user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '15018' abstract: - lang: eng text: The epitaxial growth of a strained Ge layer, which is a promising candidate for the channel material of a hole spin qubit, has been demonstrated on 300 mm Si wafers using commercially available Si0.3Ge0.7 strain relaxed buffer (SRB) layers. The assessment of the layer and the interface qualities for a buried strained Ge layer embedded in Si0.3Ge0.7 layers is reported. The XRD reciprocal space mapping confirmed that the reduction of the growth temperature enables the 2-dimensional growth of the Ge layer fully strained with respect to the Si0.3Ge0.7. Nevertheless, dislocations at the top and/or bottom interface of the Ge layer were observed by means of electron channeling contrast imaging, suggesting the importance of the careful dislocation assessment. The interface abruptness does not depend on the selection of the precursor gases, but it is strongly influenced by the growth temperature which affects the coverage of the surface H-passivation. The mobility of 2.7 × 105 cm2/Vs is promising, while the low percolation density of 3 × 1010 /cm2 measured with a Hall-bar device at 7 K illustrates the high quality of the heterostructure thanks to the high Si0.3Ge0.7 SRB quality. acknowledgement: The Ge project received funding from the European Union's Horizon Europe programme under the Grant Agreement 101069515 – IGNITE. Siltronic AG is acknowledged for providing the SRB wafers. This work was supported by Imec's Industrial Affiliation Program on Quantum Computing. article_number: '108231' article_processing_charge: Yes (in subscription journal) article_type: original author: - first_name: Yosuke full_name: Shimura, Yosuke last_name: Shimura - first_name: Clement full_name: Godfrin, Clement last_name: Godfrin - first_name: Andriy full_name: Hikavyy, Andriy last_name: Hikavyy - first_name: Roy full_name: Li, Roy last_name: Li - first_name: Juan L full_name: Aguilera Servin, Juan L id: 2A67C376-F248-11E8-B48F-1D18A9856A87 last_name: Aguilera Servin orcid: 0000-0002-2862-8372 - first_name: Georgios full_name: Katsaros, Georgios id: 38DB5788-F248-11E8-B48F-1D18A9856A87 last_name: Katsaros orcid: 0000-0001-8342-202X - first_name: Paola full_name: Favia, Paola last_name: Favia - first_name: Han full_name: Han, Han last_name: Han - first_name: Danny full_name: Wan, Danny last_name: Wan - first_name: Kristiaan full_name: de Greve, Kristiaan last_name: de Greve - first_name: Roger full_name: Loo, Roger last_name: Loo citation: ama: Shimura Y, Godfrin C, Hikavyy A, et al. Compressively strained epitaxial Ge layers for quantum computing applications. Materials Science in Semiconductor Processing. 2024;174(5). doi:10.1016/j.mssp.2024.108231 apa: Shimura, Y., Godfrin, C., Hikavyy, A., Li, R., Aguilera Servin, J. L., Katsaros, G., … Loo, R. (2024). Compressively strained epitaxial Ge layers for quantum computing applications. Materials Science in Semiconductor Processing. Elsevier. https://doi.org/10.1016/j.mssp.2024.108231 chicago: Shimura, Yosuke, Clement Godfrin, Andriy Hikavyy, Roy Li, Juan L Aguilera Servin, Georgios Katsaros, Paola Favia, et al. “Compressively Strained Epitaxial Ge Layers for Quantum Computing Applications.” Materials Science in Semiconductor Processing. Elsevier, 2024. https://doi.org/10.1016/j.mssp.2024.108231. ieee: Y. Shimura et al., “Compressively strained epitaxial Ge layers for quantum computing applications,” Materials Science in Semiconductor Processing, vol. 174, no. 5. Elsevier, 2024. ista: Shimura Y, Godfrin C, Hikavyy A, Li R, Aguilera Servin JL, Katsaros G, Favia P, Han H, Wan D, de Greve K, Loo R. 2024. Compressively strained epitaxial Ge layers for quantum computing applications. Materials Science in Semiconductor Processing. 174(5), 108231. mla: Shimura, Yosuke, et al. “Compressively Strained Epitaxial Ge Layers for Quantum Computing Applications.” Materials Science in Semiconductor Processing, vol. 174, no. 5, 108231, Elsevier, 2024, doi:10.1016/j.mssp.2024.108231. short: Y. Shimura, C. Godfrin, A. Hikavyy, R. Li, J.L. Aguilera Servin, G. Katsaros, P. Favia, H. Han, D. Wan, K. de Greve, R. Loo, Materials Science in Semiconductor Processing 174 (2024). das_tickbox: '1' dataavailabilitystatement: No data was used for the research described in the article. date_created: 2024-02-22T14:10:40Z date_published: 2024-05-20T00:00:00Z date_updated: 2026-10-02T11:06:21Z day: '20' ddc: - '530' department: - _id: GeKa - _id: NanoFab doi: 10.1016/j.mssp.2024.108231 external_id: isi: - '001188520000001' file: - access_level: open_access checksum: 62e8e9ae960387a3dca32ec7f5e413ab content_type: application/pdf creator: dernst date_created: 2024-07-22T11:56:08Z date_updated: 2024-07-22T11:56:08Z file_id: '17312' file_name: 2024_MaterialsScience_Shimura.pdf file_size: 4220165 relation: main_file success: 1 file_date_updated: 2024-07-22T11:56:08Z fulldoi: https://doi.org/10.1016/j.mssp.2024.108231 has_accepted_license: '1' intvolume: ' 174' isi: 1 issue: '5' keyword: - Mechanical Engineering - Mechanics of Materials - Condensed Matter Physics - General Materials Science language: - iso: eng month: '05' oa: 1 oa_version: Published Version project: - _id: 34c0acea-11ca-11ed-8bc3-8775e10fd452 grant_number: '101069515' name: Integrated Germanium Quantum Technology publication: Materials Science in Semiconductor Processing publication_identifier: issn: - 1369-8001 publication_status: published publisher: Elsevier quality_controlled: '1' researchdata_availability: not applicable scopus_import: '1' status: public supplementarymaterial: no title: Compressively strained epitaxial Ge layers for quantum computing applications tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 174 year: '2024' ... --- _id: '17136' abstract: - lang: eng text: "This paper focuses on Majority Dynamics in sparse graphs, in particular, as a\r\ntool to study internal cuts. It is known that, in Majority Dynamics on a finite\r\ngraph, each vertex eventually either comes to a fixed state, or oscillates with\r\nperiod two. The empirical evidence acquired by simulations suggests that for\r\nrandom odd-regular graphs, approximately half of the vertices end up\r\noscillating with high probability. We notice a local symmetry between\r\noscillating and non-oscillating vertices, that potentially can explain why the\r\nfraction of the oscillating vertices is concentrated around $\\frac{1}{2}$. In\r\nour simulations, we observe that the parts of random odd-regular graph under\r\nMajority Dynamics with high probability do not contain $\\lceil \\frac{d}{2}\r\n\\rceil$-cores at any timestep, and thus, one cannot use Majority Dynamics to\r\nprove that internal cuts exist in odd-regular graphs almost surely. However, we\r\nsuggest a modification of Majority Dynamics, that yields parts with desired\r\ncores with high probability." acknowledgement: "I am grateful to Matthew Kwan for setting the problem, providing useful literature,\r\nfruitful discussions, text review, mentorship, general encouragement and support." article_number: '2406.07026' article_processing_charge: No arxiv: 1 author: - first_name: Pavel full_name: Arkhipov, Pavel id: b25f2ab2-1fed-11ee-8599-fe02d211784f last_name: Arkhipov citation: ama: 'Arkhipov P. Majority dynamics and internal partitions of random regular graphs: Experimental results. arXiv. doi:10.48550/arXiv.2406.07026' apa: 'Arkhipov, P. (n.d.). Majority dynamics and internal partitions of random regular graphs: Experimental results. arXiv. https://doi.org/10.48550/arXiv.2406.07026' chicago: 'Arkhipov, Pavel. “Majority Dynamics and Internal Partitions of Random Regular Graphs: Experimental Results.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2406.07026.' ieee: 'P. Arkhipov, “Majority dynamics and internal partitions of random regular graphs: Experimental results,” arXiv. .' ista: 'Arkhipov P. Majority dynamics and internal partitions of random regular graphs: Experimental results. arXiv, 2406.07026.' mla: 'Arkhipov, Pavel. “Majority Dynamics and Internal Partitions of Random Regular Graphs: Experimental Results.” ArXiv, 2406.07026, doi:10.48550/arXiv.2406.07026.' short: P. Arkhipov, ArXiv (n.d.). das_tickbox: '0' date_created: 2024-06-12T07:01:52Z date_published: 2024-06-11T00:00:00Z date_updated: 2026-10-02T11:06:38Z day: '11' department: - _id: GradSch doi: 10.48550/arXiv.2406.07026 external_id: arxiv: - '2406.07026' fulldoi: https://doi.org/10.48550/arXiv.2406.07026 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2406.07026 month: '06' oa: 1 oa_version: Preprint publication: arXiv publication_status: submitted researchdata_availability: yes status: public supplementarymaterial: no title: 'Majority dynamics and internal partitions of random regular graphs: Experimental results' type: preprint user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2024' ... --- _id: '18174' abstract: - lang: eng text: We investigate the phase ordering (pattern formation) of systems of two-dimensional core–shell particles using Monte Carlo (MC) computer simulations and classical density functional theory (DFT). The particles interact via a pair potential having a hard core and a repulsive square shoulder. Our simulations show that on cooling, the liquid state structure becomes increasingly characterized by long wavelength density modulations and on further cooling forms a variety of other phases, including clustered, striped, and other patterned phases. In DFT, the hard core part of the potential is treated using either fundamental measure theory or a simple local density approximation, whereas the soft shoulder is treated using the random phase approximation. The different DFTs are benchmarked using large-scale grand-canonical-MC and Gibbs-ensemble-MC simulations, demonstrating their predictive capabilities and shortcomings. We find that having the liquid state static structure factor S(k) for wavenumber k is sufficient to identify the Fourier modes governing both the liquid and solid phases. This allows us to identify from easier-to-obtain liquid state data the wavenumbers relevant to the periodic phases and to predict roughly where in the phase diagram these patterned phases arise. acknowledgement: The computational results presented here were enabled via a generous share of CPU time, offered by the Vienna Scientific Cluster (VSC) under Project No. 71263. The authors thank Ms. Katrin Muck for her guidance related to the use of HPC. A.J.A. gratefully acknowledges support from the EPSRC under Grant No. EP/P015689/1. article_number: '124503 ' article_processing_charge: Yes (in subscription journal) article_type: original arxiv: 1 author: - first_name: Michael full_name: Wassermair, Michael id: 23d132c4-4e98-11ef-b275-9e8d4cd8c917 last_name: Wassermair orcid: 0009-0003-6339-4051 - first_name: Gerhard full_name: Kahl, Gerhard last_name: Kahl - first_name: Roland full_name: Roth, Roland last_name: Roth - first_name: Andrew J. full_name: Archer, Andrew J. last_name: Archer citation: ama: Wassermair M, Kahl G, Roth R, Archer AJ. Fingerprints of ordered self-assembled structures in the liquid phase of a hard-core, square-shoulder system. The Journal of chemical physics. 2024;161(12). doi:10.1063/5.0226954 apa: Wassermair, M., Kahl, G., Roth, R., & Archer, A. J. (2024). Fingerprints of ordered self-assembled structures in the liquid phase of a hard-core, square-shoulder system. The Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0226954 chicago: Wassermair, Michael, Gerhard Kahl, Roland Roth, and Andrew J. Archer. “Fingerprints of Ordered Self-Assembled Structures in the Liquid Phase of a Hard-Core, Square-Shoulder System.” The Journal of Chemical Physics. AIP Publishing, 2024. https://doi.org/10.1063/5.0226954. ieee: M. Wassermair, G. Kahl, R. Roth, and A. J. Archer, “Fingerprints of ordered self-assembled structures in the liquid phase of a hard-core, square-shoulder system,” The Journal of chemical physics, vol. 161, no. 12. AIP Publishing, 2024. ista: Wassermair M, Kahl G, Roth R, Archer AJ. 2024. Fingerprints of ordered self-assembled structures in the liquid phase of a hard-core, square-shoulder system. The Journal of chemical physics. 161(12), 124503. mla: Wassermair, Michael, et al. “Fingerprints of Ordered Self-Assembled Structures in the Liquid Phase of a Hard-Core, Square-Shoulder System.” The Journal of Chemical Physics, vol. 161, no. 12, 124503, AIP Publishing, 2024, doi:10.1063/5.0226954. short: M. Wassermair, G. Kahl, R. Roth, A.J. Archer, The Journal of Chemical Physics 161 (2024). corr_author: '1' das_tickbox: '1' dataavailabilitystatement: The data that support the findings of this study are available from the corresponding author upon reasonable request. date_created: 2024-10-06T22:01:12Z date_published: 2024-09-28T00:00:00Z date_updated: 2026-10-02T11:10:03Z day: '28' ddc: - '530' department: - _id: GradSch doi: 10.1063/5.0226954 external_id: arxiv: - '2409.06447' isi: - '001325268300004' pmid: - '39344889' file: - access_level: open_access checksum: f3874e64ef94e94b2376f00a1fee24c3 content_type: application/pdf creator: dernst date_created: 2024-10-07T11:25:00Z date_updated: 2024-10-07T11:25:00Z file_id: '18185' file_name: 2024_JourChemicalPhysics_Wassermair.pdf file_size: 15009000 relation: main_file success: 1 file_date_updated: 2024-10-07T11:25:00Z fulldoi: https://doi.org/10.1063/5.0226954 has_accepted_license: '1' intvolume: ' 161' isi: 1 issue: '12' language: - iso: eng month: '09' oa: 1 oa_version: Published Version pmid: 1 publication: The Journal of chemical physics publication_identifier: eissn: - 1089-7690 publication_status: published publisher: AIP Publishing quality_controlled: '1' researchdata_availability: upon request scopus_import: '1' status: public supplementarymaterial: yes title: Fingerprints of ordered self-assembled structures in the liquid phase of a hard-core, square-shoulder system tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 161 year: '2024' ... --- _id: '14653' abstract: - lang: eng text: 'Mass spectrometry imaging (MSI) is a powerful analytical technique for the two-dimensional (2D) localization of chemicals on surfaces. Conventional MSI experiments require to predefine the surface of interest based on photographic or microscopic images. Typically, these boundaries can no longer be changed or adjusted once the experiment has been started. In terms of a more interactive approach we recently developed a pen-like ionization interface which is directly connected to the mass spectrometer. The device allows the user to ionize chemicals by desorption electrospray ionization (DESI) and to freely move the interface over a surface of interest. A mini camera, which is mounted on the tip of the pen, magnifies the desorption area and enables a simple positioning of the pen. The combination of optical data from the camera module and chemical data obtained by mass analysis facilitates a novel type of imaging experiment: interactive mass spectrometry imaging (IMSI). For this application, we present a novel approach for a robust, optical flow-based motion detection. While the live video stream from the camera is used to track the pen''s motion across the surface a post-acquisition algorithm correlates the coordinates of the pen trajectory with respective mass spectra obtained from a simultaneous mass spectrometric data acquisition. This algorithm is no longer dependent on a single, manually applied optical marker on the sample surface, which has to be visible on all video frames throughout the analysis. The advanced DESI-IMSI method was successfully tested on inkjet-printed letters as well as mouse brain tissue samples. Validation of the results was done by comparing DESI-IMSI with standard DESI-MSI data.' acknowledgement: We would like to thank Marco Sealey Cardona, PhD for help with the mouse brain samples and acknowledge the financial support by 1669 Förderkreis of the University of Innsbruck, Austria Wirtschaftsservice (AWS), D. Swarovski KG and Tyrolean Science Fund (TWF). article_number: '117168' article_processing_charge: Yes (in subscription journal) article_type: original author: - first_name: Florian full_name: Kluibenschedl, Florian id: 7499e70e-eb2c-11ec-b98b-f925648bc9d9 last_name: Kluibenschedl orcid: 0000-0003-4695-5526 - first_name: Anna full_name: Ploner, Anna last_name: Ploner - first_name: Christina full_name: Meisenbichler, Christina last_name: Meisenbichler - first_name: Robert full_name: Konrat, Robert last_name: Konrat - first_name: Thomas full_name: Müller, Thomas last_name: Müller citation: ama: Kluibenschedl F, Ploner A, Meisenbichler C, Konrat R, Müller T. Advanced motion tracking for interactive mass spectrometry imaging (IMSI). International Journal of Mass Spectrometry. 2024;495. doi:10.1016/j.ijms.2023.117168 apa: Kluibenschedl, F., Ploner, A., Meisenbichler, C., Konrat, R., & Müller, T. (2024). Advanced motion tracking for interactive mass spectrometry imaging (IMSI). International Journal of Mass Spectrometry. Elsevier. https://doi.org/10.1016/j.ijms.2023.117168 chicago: Kluibenschedl, Florian, Anna Ploner, Christina Meisenbichler, Robert Konrat, and Thomas Müller. “Advanced Motion Tracking for Interactive Mass Spectrometry Imaging (IMSI).” International Journal of Mass Spectrometry. Elsevier, 2024. https://doi.org/10.1016/j.ijms.2023.117168. ieee: F. Kluibenschedl, A. Ploner, C. Meisenbichler, R. Konrat, and T. Müller, “Advanced motion tracking for interactive mass spectrometry imaging (IMSI),” International Journal of Mass Spectrometry, vol. 495. Elsevier, 2024. ista: Kluibenschedl F, Ploner A, Meisenbichler C, Konrat R, Müller T. 2024. Advanced motion tracking for interactive mass spectrometry imaging (IMSI). International Journal of Mass Spectrometry. 495, 117168. mla: Kluibenschedl, Florian, et al. “Advanced Motion Tracking for Interactive Mass Spectrometry Imaging (IMSI).” International Journal of Mass Spectrometry, vol. 495, 117168, Elsevier, 2024, doi:10.1016/j.ijms.2023.117168. short: F. Kluibenschedl, A. Ploner, C. Meisenbichler, R. Konrat, T. Müller, International Journal of Mass Spectrometry 495 (2024). das_tickbox: '1' dataavailabilitystatement: Data will be made available on request. date_created: 2023-12-10T23:00:57Z date_published: 2024-01-01T00:00:00Z date_updated: 2026-10-02T11:07:09Z day: '01' ddc: - '540' department: - _id: GradSch doi: 10.1016/j.ijms.2023.117168 external_id: isi: - '001125054400001' file: - access_level: open_access checksum: 6c5eb6dc07af70a59251d2c6fed38894 content_type: application/pdf creator: dernst date_created: 2024-07-16T08:27:34Z date_updated: 2024-07-16T08:27:34Z file_id: '17256' file_name: 2024_IJMS_Kluibenschedl.pdf file_size: 3003139 relation: main_file success: 1 file_date_updated: 2024-07-16T08:27:34Z fulldoi: https://doi.org/10.1016/j.ijms.2023.117168 has_accepted_license: '1' intvolume: ' 495' isi: 1 language: - iso: eng month: '01' oa: 1 oa_version: Published Version publication: International Journal of Mass Spectrometry publication_identifier: issn: - 1387-3806 publication_status: published publisher: Elsevier quality_controlled: '1' researchdata_availability: upon request scopus_import: '1' status: public supplementarymaterial: yes title: Advanced motion tracking for interactive mass spectrometry imaging (IMSI) tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 495 year: '2024' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '15407' abstract: - lang: eng text: We propose and implement a family of quantum-informed recursive optimization (QIRO) algorithms for combinatorial optimization problems. Our approach leverages quantum resources to obtain information that is used in problem-specific classical reduction steps that recursively simplify the problem. These reduction steps address the limitations of the quantum component (e.g., locality) and ensure solution feasibility in constrained optimization problems. Additionally, we use backtracking techniques to further improve the performance of the algorithm without increasing the requirements on the quantum hardware. We showcase the capabilities of our approach by informing QIRO with correlations from classical simulations of shallow circuits of the quantum approximate optimization algorithm, solving instances of maximum independent set and maximum satisfiability problems with hundreds of variables. We also demonstrate how QIRO can be deployed on a neutral atom quantum processor to find large independent sets of graphs. In summary, our scheme achieves results comparable to classical heuristics even with relatively weak quantum resources. Furthermore, enhancing the quality of these quantum resources improves the performance of the algorithms. Notably, the modular nature of QIRO offers various avenues for modifications, positioning our work as a template for a broader class of hybrid quantum-classical algorithms for combinatorial optimization. acknowledgement: J.R.F. and A.K. thank Libor Caha and Alexander Kliesch for insightful discussions. The authors thank Lilly Palackal, Maximilian Passek, Carlos Riofrío, and Gili Rosenberg for thorough reviews of the manuscript, and the Amazon Braket, BMW, and QuEra teams for their support. C.M. thanks the Munich Quantum Valley initiative, which is supported by the Bavarian State Government with funds from the Hightech Agenda Bayern Plus. H.G.K. would like to thank Am Platzl 1A for providing the necessary environment for creative thinking. An open-source implementation of QIRO is available online [60]. article_number: '020327' article_processing_charge: Yes article_type: original arxiv: 1 author: - first_name: Jernej Rudi full_name: Finžgar, Jernej Rudi last_name: Finžgar - first_name: Aron full_name: Kerschbaumer, Aron id: ade85a9c-3200-11ee-973b-91c1eb240410 last_name: Kerschbaumer orcid: 0009-0002-2370-8661 - first_name: Martin J.A. full_name: Schuetz, Martin J.A. last_name: Schuetz - first_name: Christian B. full_name: Mendl, Christian B. last_name: Mendl - first_name: Helmut G. full_name: Katzgraber, Helmut G. last_name: Katzgraber citation: ama: Finžgar JR, Kerschbaumer A, Schuetz MJA, Mendl CB, Katzgraber HG. Quantum-informed recursive optimization algorithms. PRX Quantum. 2024;5(2). doi:10.1103/PRXQuantum.5.020327 apa: Finžgar, J. R., Kerschbaumer, A., Schuetz, M. J. A., Mendl, C. B., & Katzgraber, H. G. (2024). Quantum-informed recursive optimization algorithms. PRX Quantum. American Physical Society. https://doi.org/10.1103/PRXQuantum.5.020327 chicago: Finžgar, Jernej Rudi, Aron Kerschbaumer, Martin J.A. Schuetz, Christian B. Mendl, and Helmut G. Katzgraber. “Quantum-Informed Recursive Optimization Algorithms.” PRX Quantum. American Physical Society, 2024. https://doi.org/10.1103/PRXQuantum.5.020327. ieee: J. R. Finžgar, A. Kerschbaumer, M. J. A. Schuetz, C. B. Mendl, and H. G. Katzgraber, “Quantum-informed recursive optimization algorithms,” PRX Quantum, vol. 5, no. 2. American Physical Society, 2024. ista: Finžgar JR, Kerschbaumer A, Schuetz MJA, Mendl CB, Katzgraber HG. 2024. Quantum-informed recursive optimization algorithms. PRX Quantum. 5(2), 020327. mla: Finžgar, Jernej Rudi, et al. “Quantum-Informed Recursive Optimization Algorithms.” PRX Quantum, vol. 5, no. 2, 020327, American Physical Society, 2024, doi:10.1103/PRXQuantum.5.020327. short: J.R. Finžgar, A. Kerschbaumer, M.J.A. Schuetz, C.B. Mendl, H.G. Katzgraber, PRX Quantum 5 (2024). corr_author: '1' das_tickbox: '0' date_created: 2024-05-19T22:01:13Z date_published: 2024-05-01T00:00:00Z date_updated: 2026-10-02T11:07:49Z day: '01' ddc: - '530' department: - _id: GradSch doi: 10.1103/PRXQuantum.5.020327 external_id: arxiv: - '2308.13607' file: - access_level: open_access checksum: 76bdf0b4dc06d59d073a57bd6957a96c content_type: application/pdf creator: dernst date_created: 2024-05-21T09:35:14Z date_updated: 2024-05-21T09:35:14Z file_id: '15409' file_name: 2024_PRXQuantum_Finzgar.pdf file_size: 2016085 relation: main_file success: 1 file_date_updated: 2024-05-21T09:35:14Z fulldoi: https://doi.org/10.1103/PRXQuantum.5.020327 has_accepted_license: '1' intvolume: ' 5' issue: '2' language: - iso: eng month: '05' oa: 1 oa_version: Published Version publication: PRX Quantum publication_identifier: eissn: - 2691-3399 publication_status: published publisher: American Physical Society quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: yes title: Quantum-informed recursive optimization algorithms tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 5 year: '2024' ... --- _id: '15360' abstract: - lang: eng text: We investigate superradiant enhancements in the refrigeration performance of a set of N three-level systems that are collectively coupled to a hot and a cold thermal reservoir and are additionally subject to collective periodic (circular) driving. Assuming the system-reservoir coupling to be weak, we explore the regime of stronger periodic driving strengths by comparing collective weak driving, Floquet-Lindblad, and Floquet-Redfield master equations. We identify regimes where the power injected by the periodic driving is used to pump heat from the cold to the hot reservoir and derive analytic sufficient conditions for them based on a cycle analysis of the Floquet-Lindblad master equation. In those regimes, we also argue for which parameters collective enhancements like a quadratic scaling of the cooling current with N can be expected and support our arguments by numerical simulations. acknowledgement: "Financial support by the DFG (project ID 278162697 – SFB 1242) is gratefully acknowledged.\r\n" article_number: '044050' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Dmytro full_name: Kolisnyk, Dmytro id: 530a7320-5355-11ee-ae5a-82a46997aaa7 last_name: Kolisnyk orcid: 0000-0002-8612-8202 - first_name: Friedemann full_name: Queißer, Friedemann last_name: Queißer - first_name: Gernot full_name: Schaller, Gernot last_name: Schaller - first_name: Ralf full_name: Schützhold, Ralf last_name: Schützhold citation: ama: Kolisnyk D, Queißer F, Schaller G, Schützhold R. Floquet analysis of a superradiant many-qutrit refrigerator. Physical Review Applied. 2024;21(4). doi:10.1103/PhysRevApplied.21.044050 apa: Kolisnyk, D., Queißer, F., Schaller, G., & Schützhold, R. (2024). Floquet analysis of a superradiant many-qutrit refrigerator. Physical Review Applied. American Physical Society. https://doi.org/10.1103/PhysRevApplied.21.044050 chicago: Kolisnyk, Dmytro, Friedemann Queißer, Gernot Schaller, and Ralf Schützhold. “Floquet Analysis of a Superradiant Many-Qutrit Refrigerator.” Physical Review Applied. American Physical Society, 2024. https://doi.org/10.1103/PhysRevApplied.21.044050. ieee: D. Kolisnyk, F. Queißer, G. Schaller, and R. Schützhold, “Floquet analysis of a superradiant many-qutrit refrigerator,” Physical Review Applied, vol. 21, no. 4. American Physical Society, 2024. ista: Kolisnyk D, Queißer F, Schaller G, Schützhold R. 2024. Floquet analysis of a superradiant many-qutrit refrigerator. Physical Review Applied. 21(4), 044050. mla: Kolisnyk, Dmytro, et al. “Floquet Analysis of a Superradiant Many-Qutrit Refrigerator.” Physical Review Applied, vol. 21, no. 4, 044050, American Physical Society, 2024, doi:10.1103/PhysRevApplied.21.044050. short: D. Kolisnyk, F. Queißer, G. Schaller, R. Schützhold, Physical Review Applied 21 (2024). das_tickbox: '0' date_created: 2024-05-05T22:01:04Z date_published: 2024-04-26T00:00:00Z date_updated: 2026-10-02T11:07:26Z day: '26' department: - _id: GradSch doi: 10.1103/PhysRevApplied.21.044050 external_id: arxiv: - '2310.18126' isi: - '001226579400001' fulldoi: https://doi.org/10.1103/PhysRevApplied.21.044050 intvolume: ' 21' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2310.18126 month: '04' oa: 1 oa_version: Preprint publication: Physical Review Applied publication_identifier: eissn: - 2331-7019 publication_status: published publisher: American Physical Society quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: yes title: Floquet analysis of a superradiant many-qutrit refrigerator type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 21 year: '2024' ... --- OA_type: closed access _id: '18482' abstract: - lang: eng text: "This paper is dedicated to an optimization problem. Let A, B ⊂ Rn be compact convex sets. Consider the minimal number t0 > 0 such that t0B covers A after a shift to a vector x0 ∈ \r\nRn. The goal is to find t0 and x0. In the special case of B being a unit ball centered at zero, x0 and t0 are known as the Chebyshev center and the Chebyshev radius of A. This paper focuses on the case in which A and B are defined with their black-box support functions. An algorithm for solving such problems efficiently is suggested. The algorithm has a superlinear convergence rate, and it can solve hundred-dimensional test problems in a reasonable time, but some additional conditions on A and B are required to guarantee the presence of convergence. Additionally, the behavior of the algorithm for a simple special case is investigated, which leads to a number of theoretical results. Perturbations of this special case are also studied." acknowledgement: The author is grateful to Maxim Balashov for setting the problem, providing useful literature, important discussions and text review. Also, I thank Dmitry Tsarev and Kseniia Petukhova for meaningful talks and support. article_processing_charge: No article_type: original author: - first_name: Pavel full_name: Arkhipov, Pavel id: b25f2ab2-1fed-11ee-8599-fe02d211784f last_name: Arkhipov citation: ama: Arkhipov P. An algorithm for finding the generalized Chebyshev center of sets defined via their support functions. Automation and Remote Control. 2024;85(6):522-532. doi:10.1134/S0005117924060031 apa: Arkhipov, P. (2024). An algorithm for finding the generalized Chebyshev center of sets defined via their support functions. Automation and Remote Control. Springer Nature. https://doi.org/10.1134/S0005117924060031 chicago: Arkhipov, Pavel. “An Algorithm for Finding the Generalized Chebyshev Center of Sets Defined via Their Support Functions.” Automation and Remote Control. Springer Nature, 2024. https://doi.org/10.1134/S0005117924060031. ieee: P. Arkhipov, “An algorithm for finding the generalized Chebyshev center of sets defined via their support functions,” Automation and Remote Control, vol. 85, no. 6. Springer Nature, pp. 522–532, 2024. ista: Arkhipov P. 2024. An algorithm for finding the generalized Chebyshev center of sets defined via their support functions. Automation and Remote Control. 85(6), 522–532. mla: Arkhipov, Pavel. “An Algorithm for Finding the Generalized Chebyshev Center of Sets Defined via Their Support Functions.” Automation and Remote Control, vol. 85, no. 6, Springer Nature, 2024, pp. 522–32, doi:10.1134/S0005117924060031. short: P. Arkhipov, Automation and Remote Control 85 (2024) 522–532. corr_author: '1' das_tickbox: '0' date_created: 2024-10-27T23:01:45Z date_published: 2024-06-01T00:00:00Z date_updated: 2026-10-02T11:10:45Z day: '01' department: - _id: GradSch doi: 10.1134/S0005117924060031 external_id: isi: - '001338721700007' fulldoi: https://doi.org/10.1134/S0005117924060031 intvolume: ' 85' isi: 1 issue: '6' language: - iso: eng month: '06' oa_version: None page: 522-532 publication: Automation and Remote Control publication_identifier: eissn: - 1608-3032 issn: - 0005-1179 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: An algorithm for finding the generalized Chebyshev center of sets defined via their support functions type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 85 year: '2024' ... --- OA_type: closed access _id: '18450' abstract: - lang: eng text: In this work we present the engineering of a portable platform for sensing SERS signals in droplets microfluidics. This system comprised not only the read-out platform but also a design for the microfluidic devices optimized to enhanced the obtained SERS signals. acknowledgement: The authors acknowledge the financial support of the project HfPT – Health from Portugal, with the reference n.° C644937233-00000047, co-funded by Component C5 – Capitalisation and Business Innovation under the Portuguese Resilience and Recovery Plan, through the NextGenerationEU Fund. article_processing_charge: No author: - first_name: Sergio full_name: Quintero, Sergio last_name: Quintero - first_name: Maria full_name: Relvas, Maria last_name: Relvas - first_name: Marta full_name: Aranda, Marta last_name: Aranda - first_name: Fernando full_name: Nodal, Fernando id: 8ad43d5a-1ffe-11ee-8b67-8176f59de781 last_name: Nodal orcid: 0009-0006-4119-4376 - first_name: Lorena full_name: Dieguez, Lorena last_name: Dieguez - first_name: Sara full_name: Abalde-Cela, Sara last_name: Abalde-Cela citation: ama: 'Quintero S, Relvas M, Aranda M, Nodal F, Dieguez L, Abalde-Cela S. Portable Raman platform for SERS droplets microfludics. In: 2024 International Conference on Optical MEMS and Nanophotonics. IEEE; 2024. doi:10.1109/OMN61224.2024.10685279' apa: 'Quintero, S., Relvas, M., Aranda, M., Nodal, F., Dieguez, L., & Abalde-Cela, S. (2024). Portable Raman platform for SERS droplets microfludics. In 2024 International Conference on Optical MEMS and Nanophotonics. San Sebastian, Spain: IEEE. https://doi.org/10.1109/OMN61224.2024.10685279' chicago: Quintero, Sergio, Maria Relvas, Marta Aranda, Fernando Nodal, Lorena Dieguez, and Sara Abalde-Cela. “Portable Raman Platform for SERS Droplets Microfludics.” In 2024 International Conference on Optical MEMS and Nanophotonics. IEEE, 2024. https://doi.org/10.1109/OMN61224.2024.10685279. ieee: S. Quintero, M. Relvas, M. Aranda, F. Nodal, L. Dieguez, and S. Abalde-Cela, “Portable Raman platform for SERS droplets microfludics,” in 2024 International Conference on Optical MEMS and Nanophotonics, San Sebastian, Spain, 2024. ista: 'Quintero S, Relvas M, Aranda M, Nodal F, Dieguez L, Abalde-Cela S. 2024. Portable Raman platform for SERS droplets microfludics. 2024 International Conference on Optical MEMS and Nanophotonics. OMN: Conference on Optical MEMS and Nanophotonics.' mla: Quintero, Sergio, et al. “Portable Raman Platform for SERS Droplets Microfludics.” 2024 International Conference on Optical MEMS and Nanophotonics, IEEE, 2024, doi:10.1109/OMN61224.2024.10685279. short: S. Quintero, M. Relvas, M. Aranda, F. Nodal, L. Dieguez, S. Abalde-Cela, in:, 2024 International Conference on Optical MEMS and Nanophotonics, IEEE, 2024. conference: end_date: 2024-08-01 location: San Sebastian, Spain name: 'OMN: Conference on Optical MEMS and Nanophotonics' start_date: 2024-07-28 das_tickbox: '0' date_created: 2024-10-20T22:02:07Z date_published: 2024-09-27T00:00:00Z date_updated: 2026-10-02T11:10:28Z day: '27' department: - _id: GradSch doi: 10.1109/OMN61224.2024.10685279 external_id: isi: - '001327768000060' fulldoi: https://doi.org/10.1109/OMN61224.2024.10685279 isi: 1 language: - iso: eng month: '09' oa_version: None publication: 2024 International Conference on Optical MEMS and Nanophotonics publication_identifier: eissn: - 2160-5041 isbn: - '9798350384925' issn: - 2160-5033 publication_status: published publisher: IEEE quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: Portable Raman platform for SERS droplets microfludics type: conference user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2024' ... --- OA_place: publisher _id: '18588' abstract: - lang: eng text: "This thesis is an experimental work about two distinct research projects that evolved from a single project: non-equilibrium dynamics of an acoustically vibrated particle and microfabrication of particles with nano-scale 3D printing. The first project explores non equilibrium dynamics of a particle driven by ultrasonic vibrations. We design an experimental system consisting of an electromechanical vibration scheme to drive the particle’s vibrations and an imaging scheme to track its trajectories. We study the trajectories to determine how the particle’s dynamics evolve under the driven conditions, considering out of equilibrium systems in the context of equilibrium statistical mechanics. Using a Langevin framework and the Boltzmann factor, we characterize the particle’s dynamics as complex; the particle motion\r\nis not purely diffusive. We extract physical parameters like spring constant, effective temperature, damping coefficient and resonance frequency.\r\n\r\nIn the second project, we explore and develop techniques in the design and microfabrication of particles across scales. Microfabrication involves building structures at the micron or submicron scale. These designed miniaturized patterns, objects, or devices are useful in biophysics, pharmacology, medical biology, and nanotechnology. We specifically apply two-photon polymerization, a form of 3D nano printing. We print millimetric particles, characterizing different designs to evaluate and showcase the resolution, aspect ratio integrity and print quality of the printing process. We also design and fabricate a microsensor to deflect under applicable force of order 0.1 pN. We present fundamental concepts needed to design the microsensor, showcasing 3D printing at considerably smaller scales down to the µm or below." acknowledged_ssus: - _id: NanoFab - _id: M-Shop acknowledgement: "I would like to acknowledge Scott Waitukaitis and Jérémie Palacci, for their supervision, and their extensive support of my learning. \r\n\r\nFor the beautiful characterization images used in this work, I would like to thank Dr. Daniel Grober, Samuel Hajek and Felix Pertl.\r\n\r\nThe Palacci group, particularly Malina Strugaru and Dan Grober, for their continuous guidance in decoding and following my streams of thought.\r\n\r\nTo the Waitukaitis group, for helping me find my footing in science, and making me feel at\r\nhome.\r\n\r\nTo the Nanofabrication Facility (NFF) at ISTA, for training me in significant aspects of my research. The MIBA Facility, and particularly Todor Asenov for consistently picking up the phone for my machining and designing needs.\r\n\r\nTo my friends, Mariana, Lenka, Aaron, Rebecca, Eavan who provided an ear, wine, and a lot more when I needed to vent, talk through my crises as well as experiment. For the walks, for the coffees, for reading through my work and providing edits, for dinners to take me out of blocks and binds and for cheering me on when it felt insurmountable. \r\n\r\nFinally, I am grateful to Griff and Fletcher, whose music helped me through several blocks, especially with my writing.\r\n\r\nMy science would not have been possible without the guidance, support and contributions of\r\nall these people, and more." alternative_title: - ISTA Master's Thesis article_processing_charge: No author: - first_name: Cecelia N full_name: Mweka, Cecelia N id: 2a69ab4b-896a-11ed-bdf8-cb8641cf2b21 last_name: Mweka citation: ama: Mweka CN. Non equilibrium dynamics of driven individual particles and 3D printing across scales. 2024. doi:10.15479/at:ista:18588 apa: Mweka, C. N. (2024). Non equilibrium dynamics of driven individual particles and 3D printing across scales. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:18588 chicago: Mweka, Cecelia N. “Non Equilibrium Dynamics of Driven Individual Particles and 3D Printing across Scales.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:18588. ieee: C. N. Mweka, “Non equilibrium dynamics of driven individual particles and 3D printing across scales,” Institute of Science and Technology Austria, 2024. ista: Mweka CN. 2024. Non equilibrium dynamics of driven individual particles and 3D printing across scales. Institute of Science and Technology Austria. mla: Mweka, Cecelia N. Non Equilibrium Dynamics of Driven Individual Particles and 3D Printing across Scales. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:18588. short: C.N. Mweka, Non Equilibrium Dynamics of Driven Individual Particles and 3D Printing across Scales, Institute of Science and Technology Austria, 2024. corr_author: '1' das_tickbox: '0' date_created: 2024-11-27T09:12:02Z date_published: 2024-11-29T00:00:00Z date_updated: 2026-10-02T11:11:44Z day: '29' ddc: - '530' degree_awarded: MS department: - _id: GradSch doi: 10.15479/at:ista:18588 doi_confirm: '1' file: - access_level: open_access checksum: 054ed7a5e5ae6e7220e6bb37ea57a3c3 content_type: application/pdf creator: cmweka date_created: 2024-11-28T12:50:32Z date_updated: 2024-11-28T12:50:32Z file_id: '18597' file_name: Cecelia Mweka Master Thesis.pdf file_size: 3836671 relation: main_file success: 1 - access_level: closed checksum: 7d7d9299f090d83e628d65d93116e8c2 content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document creator: cmweka date_created: 2024-11-28T12:51:43Z date_updated: 2024-12-13T11:30:53Z file_id: '18598' file_name: Cecelia Mweka Master Thesis.docx file_size: 7068210 relation: source_file file_date_updated: 2024-12-13T11:30:53Z fulldoi: https://doi.org/10.15479/at:ista:18588 has_accepted_license: '1' language: - iso: eng month: '11' oa: 1 oa_version: Published Version page: '61' publication_identifier: issn: - 2791-4585 publication_status: published publisher: Institute of Science and Technology Austria researchdata_availability: no status: public supervisor: - first_name: Scott R full_name: Waitukaitis, Scott R id: 3A1FFC16-F248-11E8-B48F-1D18A9856A87 last_name: Waitukaitis orcid: 0000-0002-2299-3176 - first_name: Jérémie A full_name: Palacci, Jérémie A id: 8fb92548-2b22-11eb-b7c1-a3f0d08d7c7d last_name: Palacci orcid: 0000-0002-7253-9465 supplementarymaterial: no title: Non equilibrium dynamics of driven individual particles and 3D printing across scales type: dissertation user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2024' ...