[{"doi":"10.1038/s41586-022-05386-6","publication_status":"published","citation":{"short":"T. Buttress, S. He, L. Wang, S. Zhou, G. Saalbach, M. Vickers, G. Li, P. Li, X. Feng, Nature 611 (2022) 614–622.","ieee":"T. Buttress <i>et al.</i>, “Histone H2B.8 compacts flowering plant sperm through chromatin phase separation,” <i>Nature</i>, vol. 611, no. 7936. Springer Nature, pp. 614–622, 2022.","chicago":"Buttress, Toby, Shengbo He, Liang Wang, Shaoli Zhou, Gerhard Saalbach, Martin Vickers, Guohong Li, Pilong Li, and Xiaoqi Feng. “Histone H2B.8 Compacts Flowering Plant Sperm through Chromatin Phase Separation.” <i>Nature</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s41586-022-05386-6\">https://doi.org/10.1038/s41586-022-05386-6</a>.","apa":"Buttress, T., He, S., Wang, L., Zhou, S., Saalbach, G., Vickers, M., … Feng, X. (2022). Histone H2B.8 compacts flowering plant sperm through chromatin phase separation. <i>Nature</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41586-022-05386-6\">https://doi.org/10.1038/s41586-022-05386-6</a>","ama":"Buttress T, He S, Wang L, et al. Histone H2B.8 compacts flowering plant sperm through chromatin phase separation. <i>Nature</i>. 2022;611(7936):614-622. doi:<a href=\"https://doi.org/10.1038/s41586-022-05386-6\">10.1038/s41586-022-05386-6</a>","mla":"Buttress, Toby, et al. “Histone H2B.8 Compacts Flowering Plant Sperm through Chromatin Phase Separation.” <i>Nature</i>, vol. 611, no. 7936, Springer Nature, 2022, pp. 614–22, doi:<a href=\"https://doi.org/10.1038/s41586-022-05386-6\">10.1038/s41586-022-05386-6</a>.","ista":"Buttress T, He S, Wang L, Zhou S, Saalbach G, Vickers M, Li G, Li P, Feng X. 2022. Histone H2B.8 compacts flowering plant sperm through chromatin phase separation. Nature. 611(7936), 614–622."},"volume":611,"year":"2022","title":"Histone H2B.8 compacts flowering plant sperm through chromatin phase separation","abstract":[{"lang":"eng","text":"Sperm chromatin is typically transformed by protamines into a compact and transcriptionally inactive state1,2. Sperm cells of flowering plants lack protamines, yet they have small, transcriptionally active nuclei with chromatin condensed through an unknown mechanism3,4. Here we show that a histone variant, H2B.8, mediates sperm chromatin and nuclear condensation in Arabidopsis thaliana. Loss of H2B.8 causes enlarged sperm nuclei with dispersed chromatin, whereas ectopic expression in somatic cells produces smaller nuclei with aggregated chromatin. This result demonstrates that H2B.8 is sufficient for chromatin condensation. H2B.8 aggregates transcriptionally inactive AT-rich chromatin into phase-separated condensates, which facilitates nuclear compaction without reducing transcription. Reciprocal crosses show that mutation of h2b.8 reduces male transmission, which suggests that H2B.8-mediated sperm compaction is important for fertility. Altogether, our results reveal a new mechanism of nuclear compaction through global aggregation of unexpressed chromatin. We propose that H2B.8 is an evolutionary innovation of flowering plants that achieves nuclear condensation compatible with active transcription."}],"quality_controlled":"1","publisher":"Springer Nature","issue":"7936","status":"public","_id":"12671","extern":"1","month":"11","date_created":"2023-02-23T09:17:05Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","department":[{"_id":"XiFe"}],"oa":1,"date_updated":"2024-10-14T12:03:36Z","publication":"Nature","oa_version":"Published Version","intvolume":"       611","publication_identifier":{"eissn":["1476-4687"],"issn":["0028-0836"]},"scopus_import":"1","main_file_link":[{"url":"https://doi.org/10.1038/s41586-022-05386-6","open_access":"1"}],"author":[{"first_name":"Toby","full_name":"Buttress, Toby","last_name":"Buttress"},{"last_name":"He","full_name":"He, Shengbo","first_name":"Shengbo"},{"last_name":"Wang","full_name":"Wang, Liang","first_name":"Liang"},{"first_name":"Shaoli","full_name":"Zhou, Shaoli","last_name":"Zhou"},{"last_name":"Saalbach","full_name":"Saalbach, Gerhard","first_name":"Gerhard"},{"last_name":"Vickers","full_name":"Vickers, Martin","first_name":"Martin"},{"last_name":"Li","first_name":"Guohong","full_name":"Li, Guohong"},{"full_name":"Li, Pilong","first_name":"Pilong","last_name":"Li"},{"full_name":"Feng, Xiaoqi","id":"e0164712-22ee-11ed-b12a-d80fcdf35958","first_name":"Xiaoqi","orcid":"0000-0002-4008-1234","last_name":"Feng"}],"page":"614-622","type":"journal_article","article_processing_charge":"No","day":"17","fulldoi":"https://doi.org/10.1038/s41586-022-05386-6","language":[{"iso":"eng"}],"pmid":1,"external_id":{"pmid":["36323776"]},"date_published":"2022-11-17T00:00:00Z"},{"article_number":"2209.14368","corr_author":"1","main_file_link":[{"open_access":"1","url":" https://doi.org/10.48550/arXiv.2209.14368"}],"author":[{"orcid":"0000-0002-4561-241X","last_name":"Chatterjee","first_name":"Krishnendu","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","full_name":"Chatterjee, Krishnendu"},{"last_name":"Mohammadi","full_name":"Mohammadi, Mona","first_name":"Mona","id":"4363614d-b686-11ed-a7d5-ac9e4a24bc2e"},{"last_name":"Saona Urmeneta","orcid":"0000-0001-5103-038X","id":"BD1DF4C4-D767-11E9-B658-BC13E6697425","first_name":"Raimundo J","full_name":"Saona Urmeneta, Raimundo J"}],"day":"28","type":"preprint","article_processing_charge":"No","fulldoi":"https://doi.org/10.48550/ARXIV.2209.14368","date_published":"2022-09-28T00:00:00Z","external_id":{"arxiv":["2209.14368"]},"arxiv":1,"language":[{"iso":"eng"}],"citation":{"short":"K. Chatterjee, M. Mohammadi, R.J. Saona Urmeneta, ArXiv (n.d.).","ieee":"K. Chatterjee, M. Mohammadi, and R. J. Saona Urmeneta, “Repeated prophet inequality with near-optimal bounds,” <i>arXiv</i>. .","chicago":"Chatterjee, Krishnendu, Mona Mohammadi, and Raimundo J Saona Urmeneta. “Repeated Prophet Inequality with Near-Optimal Bounds.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/ARXIV.2209.14368\">https://doi.org/10.48550/ARXIV.2209.14368</a>.","apa":"Chatterjee, K., Mohammadi, M., &#38; Saona Urmeneta, R. J. (n.d.). Repeated prophet inequality with near-optimal bounds. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/ARXIV.2209.14368\">https://doi.org/10.48550/ARXIV.2209.14368</a>","ama":"Chatterjee K, Mohammadi M, Saona Urmeneta RJ. Repeated prophet inequality with near-optimal bounds. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/ARXIV.2209.14368\">10.48550/ARXIV.2209.14368</a>","mla":"Chatterjee, Krishnendu, et al. “Repeated Prophet Inequality with Near-Optimal Bounds.” <i>ArXiv</i>, 2209.14368, doi:<a href=\"https://doi.org/10.48550/ARXIV.2209.14368\">10.48550/ARXIV.2209.14368</a>.","ista":"Chatterjee K, Mohammadi M, Saona Urmeneta RJ. Repeated prophet inequality with near-optimal bounds. arXiv, 2209.14368."},"publication_status":"submitted","year":"2022","doi":"10.48550/ARXIV.2209.14368","project":[{"name":"Formal Methods for Stochastic Models: Algorithms and Applications","grant_number":"863818","_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","call_identifier":"H2020"}],"status":"public","acknowledgement":"This research was partially supported by the ERC CoG 863818 (ForM-SMArt) grant.","abstract":[{"lang":"eng","text":"In modern sample-driven Prophet Inequality, an adversary chooses a sequence of n items with values v1,v2,…,vn to be presented to a decision maker (DM). The process follows in two phases. In the first phase (sampling phase), some items, possibly selected at random, are revealed to the DM, but she can never accept them. In the second phase, the DM is presented with the other items in a random order and online fashion. For each item, she must make an irrevocable decision to either accept the item and stop the process or reject the item forever and proceed to the next item. The goal of the DM is to maximize the expected value as compared to a Prophet (or offline algorithm) that has access to all information. In this setting, the sampling phase has no cost and is not part of the optimization process. However, in many scenarios, the samples are obtained as part of the decision-making process.\r\nWe model this aspect as a two-phase Prophet Inequality where an adversary chooses a sequence of 2n items with values v1,v2,…,v2n and the items are randomly ordered. Finally, there are two phases of the Prophet Inequality problem with the first n-items and the rest of the items, respectively. We show that some basic algorithms achieve a ratio of at most 0.450. We present an algorithm that achieves a ratio of at least 0.495. Finally, we show that for every algorithm the ratio it can achieve is at most 0.502. Hence our algorithm is near-optimal."}],"title":"Repeated prophet inequality with near-optimal bounds","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2023-02-24T12:21:40Z","department":[{"_id":"GradSch"},{"_id":"KrCh"}],"ec_funded":1,"_id":"12677","month":"09","oa_version":"Preprint","publication":"arXiv","oa":1,"date_updated":"2025-04-14T07:52:48Z"},{"doi":"10.48550/arXiv.2210.15607","tmp":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","image":"/images/cc_by_nc_sa.png","short":"CC BY-NC-SA (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode"},"year":"2022","OA_place":"repository","citation":{"ista":"Brighi P, Ljubotina M, Serbyn M. Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models. arXiv, 2210.15607.","ama":"Brighi P, Ljubotina M, Serbyn M. Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2210.15607\">10.48550/arXiv.2210.15607</a>","mla":"Brighi, Pietro, et al. “Hilbert Space Fragmentation and Slow Dynamics in Particle-Conserving Quantum East Models.” <i>ArXiv</i>, 2210.15607, doi:<a href=\"https://doi.org/10.48550/arXiv.2210.15607\">10.48550/arXiv.2210.15607</a>.","chicago":"Brighi, Pietro, Marko Ljubotina, and Maksym Serbyn. “Hilbert Space Fragmentation and Slow Dynamics in Particle-Conserving Quantum East Models.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2210.15607\">https://doi.org/10.48550/arXiv.2210.15607</a>.","apa":"Brighi, P., Ljubotina, M., &#38; Serbyn, M. (n.d.). Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2210.15607\">https://doi.org/10.48550/arXiv.2210.15607</a>","short":"P. Brighi, M. Ljubotina, M. Serbyn, ArXiv (n.d.).","ieee":"P. Brighi, M. Ljubotina, and M. Serbyn, “Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models,” <i>arXiv</i>. ."},"publication_status":"draft","abstract":[{"lang":"eng","text":"Quantum kinetically constrained models have recently attracted significant attention due to their anomalous dynamics and thermalization. In this work, we introduce a hitherto unexplored family of kinetically constrained models featuring a conserved particle number and strong inversion-symmetry breaking due to facilitated hopping. We demonstrate that these models provide a generic example of so-called quantum Hilbert space fragmentation, that is manifested in disconnected sectors in the Hilbert space that are not apparent in the computational basis. Quantum Hilbert space fragmentation leads to an exponential in system size number of eigenstates with exactly zero entanglement entropy across several bipartite cuts. These eigenstates can be probed dynamically using quenches from simple initial product states. In addition, we study the particle spreading under unitary dynamics launched from the domain wall state, and find faster than diffusive dynamics at high particle densities, that crosses over into logarithmically slow relaxation at smaller densities. Using a classically simulable cellular automaton, we reproduce the logarithmic dynamics observed in the quantum case. Our work suggests that particle conserving constrained models with inversion symmetry breaking realize so far unexplored universality classes of dynamics and invite their further theoretical and experimental studies."}],"title":"Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models","status":"public","license":"https://creativecommons.org/licenses/by-nc-sa/4.0/","month":"11","_id":"12750","department":[{"_id":"GradSch"},{"_id":"MaSe"}],"date_created":"2023-03-23T14:33:13Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2026-04-07T13:26:31Z","oa":1,"related_material":{"record":[{"id":"14334","status":"public","relation":"later_version"},{"relation":"dissertation_contains","id":"12732","status":"public"}]},"oa_version":"Preprint","publication":"arXiv","author":[{"orcid":"0000-0002-7969-2729","last_name":"Brighi","full_name":"Brighi, Pietro","id":"4115AF5C-F248-11E8-B48F-1D18A9856A87","first_name":"Pietro"},{"last_name":"Ljubotina","orcid":"0000-0003-0038-7068","first_name":"Marko","id":"F75EE9BE-5C90-11EA-905D-16643DDC885E","full_name":"Ljubotina, Marko"},{"last_name":"Serbyn","orcid":"0000-0002-2399-5827","full_name":"Serbyn, Maksym","first_name":"Maksym","id":"47809E7E-F248-11E8-B48F-1D18A9856A87"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2210.15607"}],"corr_author":"1","article_number":"2210.15607","article_processing_charge":"No","type":"preprint","day":"07","fulldoi":"https://doi.org/10.48550/arXiv.2210.15607","language":[{"iso":"eng"}],"arxiv":1,"external_id":{"arxiv":["2210.15607"]},"date_published":"2022-11-07T00:00:00Z"},{"type":"journal_article","article_processing_charge":"No","day":"24","publication_identifier":{"issn":["1076-9803"]},"author":[{"full_name":"Browning, Timothy D","first_name":"Timothy D","id":"35827D50-F248-11E8-B48F-1D18A9856A87","last_name":"Browning","orcid":"0000-0002-8314-0177"}],"page":"1193 - 1229","corr_author":"1","language":[{"iso":"eng"}],"date_published":"2022-08-24T00:00:00Z","has_accepted_license":"1","ddc":["510"],"acknowledgement":"This work was begun while the author was participating in the programme on \"Diophantine equations\" at the Hausdorff Research Institute for Mathematics in Bonn in 2009. The hospitality and financial support of the institute is gratefully acknowledged. The idea of using conic bundles to study the split del Pezzo surface of degree 5 was explained to the author by Professor Salberger. The author is very grateful to him for his input into this project and also to Shuntaro Yamagishi for many useful comments on an earlier version of this manuscript. While working on this paper the author was supported by FWF grant P32428-N35.","abstract":[{"lang":"eng","text":"An improved asymptotic formula is established for the number of rational points of bounded height on the split smooth del Pezzo surface of degree 5. The proof uses the five conic bundle structures on the surface."}],"title":"Revisiting the Manin–Peyre conjecture for the split del Pezzo surface of degree 5","quality_controlled":"1","license":"https://creativecommons.org/licenses/by/4.0/","status":"public","project":[{"call_identifier":"FWF","_id":"26AEDAB2-B435-11E9-9278-68D0E5697425","grant_number":"P32428","name":"New frontiers of the Manin conjecture"}],"publisher":"State University of New York","publication_status":"published","citation":{"ista":"Browning TD. 2022. Revisiting the Manin–Peyre conjecture for the split del Pezzo surface of degree 5. New York Journal of Mathematics. 28, 1193–1229.","mla":"Browning, Timothy D. “Revisiting the Manin–Peyre Conjecture for the Split Del Pezzo Surface of Degree 5.” <i>New York Journal of Mathematics</i>, vol. 28, State University of New York, 2022, pp. 1193–229.","ama":"Browning TD. Revisiting the Manin–Peyre conjecture for the split del Pezzo surface of degree 5. <i>New York Journal of Mathematics</i>. 2022;28:1193-1229.","apa":"Browning, T. D. (2022). Revisiting the Manin–Peyre conjecture for the split del Pezzo surface of degree 5. <i>New York Journal of Mathematics</i>. State University of New York.","chicago":"Browning, Timothy D. “Revisiting the Manin–Peyre Conjecture for the Split Del Pezzo Surface of Degree 5.” <i>New York Journal of Mathematics</i>. State University of New York, 2022.","ieee":"T. D. Browning, “Revisiting the Manin–Peyre conjecture for the split del Pezzo surface of degree 5,” <i>New York Journal of Mathematics</i>, vol. 28. State University of New York, pp. 1193–1229, 2022.","short":"T.D. Browning, New York Journal of Mathematics 28 (2022) 1193–1229."},"volume":28,"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"year":"2022","date_updated":"2025-04-15T07:39:01Z","file":[{"success":1,"date_updated":"2023-03-30T07:09:35Z","file_id":"12778","file_name":"2022_NYJM_Browning.pdf","creator":"dernst","relation":"main_file","checksum":"c01e8291794a1bdb7416aa103cb68ef8","file_size":897267,"date_created":"2023-03-30T07:09:35Z","content_type":"application/pdf","access_level":"open_access"}],"oa":1,"oa_version":"Published Version","publication":"New York Journal of Mathematics","file_date_updated":"2023-03-30T07:09:35Z","intvolume":"        28","_id":"12776","month":"08","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2023-03-28T09:21:09Z","department":[{"_id":"TiBr"}],"article_type":"original"},{"status":"public","day":"30","type":"preprint","article_processing_charge":"No","abstract":[{"text":"Memorization of the relation between entities in a dataset can lead to privacy issues when using a trained model for question answering. We introduce Relational Memorization (RM) to understand, quantify and control this phenomenon. While bounding general memorization can have detrimental effects on the performance of a trained model, bounding RM does not prevent effective learning. The difference is most pronounced when the data distribution is long-tailed, with many queries having only few training examples: Impeding general memorization prevents effective learning, while impeding only relational memorization still allows learning general properties of the underlying concepts. We formalize the notion of Relational Privacy (RP) and, inspired by Differential Privacy (DP), we provide a possible definition of Differential Relational Privacy (DrP). These notions can be used to describe and compute bounds on the amount of RM in a trained model. We illustrate Relational Privacy concepts in experiments with large-scale models for Question Answering.","lang":"eng"}],"title":"Towards differential relational privacy and its use in question answering","publication_status":"submitted","citation":{"ieee":"S. Bombari <i>et al.</i>, “Towards differential relational privacy and its use in question answering,” <i>arXiv</i>. .","short":"S. Bombari, A. Achille, Z. Wang, Y.-X. Wang, Y. Xie, K.Y. Singh, S. Appalaraju, V. Mahadevan, S. Soatto, ArXiv (n.d.).","apa":"Bombari, S., Achille, A., Wang, Z., Wang, Y.-X., Xie, Y., Singh, K. Y., … Soatto, S. (n.d.). Towards differential relational privacy and its use in question answering. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2203.16701\">https://doi.org/10.48550/arXiv.2203.16701</a>","chicago":"Bombari, Simone, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, and Stefano Soatto. “Towards Differential Relational Privacy and Its Use in Question Answering.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2203.16701\">https://doi.org/10.48550/arXiv.2203.16701</a>.","mla":"Bombari, Simone, et al. “Towards Differential Relational Privacy and Its Use in Question Answering.” <i>ArXiv</i>, 2203.16701, doi:<a href=\"https://doi.org/10.48550/arXiv.2203.16701\">10.48550/arXiv.2203.16701</a>.","ama":"Bombari S, Achille A, Wang Z, et al. Towards differential relational privacy and its use in question answering. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2203.16701\">10.48550/arXiv.2203.16701</a>","ista":"Bombari S, Achille A, Wang Z, Wang Y-X, Xie Y, Singh KY, Appalaraju S, Mahadevan V, Soatto S. Towards differential relational privacy and its use in question answering. arXiv, 2203.16701."},"article_number":"2203.16701","year":"2022","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2203.16701"}],"doi":"10.48550/arXiv.2203.16701","author":[{"first_name":"Simone","id":"ca726dda-de17-11ea-bc14-f9da834f63aa","full_name":"Bombari, Simone","last_name":"Bombari"},{"last_name":"Achille","first_name":"Alessandro","full_name":"Achille, Alessandro"},{"full_name":"Wang, Zijian","first_name":"Zijian","last_name":"Wang"},{"last_name":"Wang","first_name":"Yu-Xiang","full_name":"Wang, Yu-Xiang"},{"last_name":"Xie","full_name":"Xie, Yusheng","first_name":"Yusheng"},{"full_name":"Singh, Kunwar Yashraj","first_name":"Kunwar Yashraj","last_name":"Singh"},{"full_name":"Appalaraju, Srikar","first_name":"Srikar","last_name":"Appalaraju"},{"last_name":"Mahadevan","first_name":"Vijay","full_name":"Mahadevan, Vijay"},{"first_name":"Stefano","full_name":"Soatto, Stefano","last_name":"Soatto"}],"publication":"arXiv","oa_version":"Preprint","external_id":{"arxiv":["2203.16701"]},"date_published":"2022-03-30T00:00:00Z","arxiv":1,"language":[{"iso":"eng"}],"date_updated":"2023-04-25T07:34:49Z","oa":1,"date_created":"2023-04-23T16:11:48Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"GradSch"},{"_id":"MaMo"}],"_id":"12860","fulldoi":"https://doi.org/10.48550/arXiv.2203.16701","month":"03"},{"doi":"10.1021/acscatal.2c04025","citation":{"chicago":"Zhao, Zhouxiang, Bartholomäus Pieber, and Martina Delbianco. “Modulating the Surface and Photophysical Properties of Carbon Dots to Access Colloidal Photocatalysts for Cross-Couplings.” <i>ACS Catalysis</i>. American Chemical Society, 2022. <a href=\"https://doi.org/10.1021/acscatal.2c04025\">https://doi.org/10.1021/acscatal.2c04025</a>.","apa":"Zhao, Z., Pieber, B., &#38; Delbianco, M. (2022). Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings. <i>ACS Catalysis</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acscatal.2c04025\">https://doi.org/10.1021/acscatal.2c04025</a>","short":"Z. Zhao, B. Pieber, M. Delbianco, ACS Catalysis 12 (2022) 13831–13837.","ieee":"Z. Zhao, B. Pieber, and M. Delbianco, “Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings,” <i>ACS Catalysis</i>, vol. 12, no. 22. American Chemical Society, pp. 13831–13837, 2022.","ista":"Zhao Z, Pieber B, Delbianco M. 2022. Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings. ACS Catalysis. 12(22), 13831–13837.","ama":"Zhao Z, Pieber B, Delbianco M. Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings. <i>ACS Catalysis</i>. 2022;12(22):13831-13837. doi:<a href=\"https://doi.org/10.1021/acscatal.2c04025\">10.1021/acscatal.2c04025</a>","mla":"Zhao, Zhouxiang, et al. “Modulating the Surface and Photophysical Properties of Carbon Dots to Access Colloidal Photocatalysts for Cross-Couplings.” <i>ACS Catalysis</i>, vol. 12, no. 22, American Chemical Society, 2022, pp. 13831–37, doi:<a href=\"https://doi.org/10.1021/acscatal.2c04025\">10.1021/acscatal.2c04025</a>."},"publication_status":"published","volume":12,"year":"2022","abstract":[{"lang":"eng","text":"Photoredox-mediated Ni-catalyzed cross-couplings are powerful transformations to form carbon–heteroatom bonds and are generally photocatalyzed by noble metal complexes. Low-cost and easy-to-prepare carbon dots (CDs) are attractive quasi-homogeneous photocatalyst alternatives, but their applicability is limited by their short photoluminescence (PL) lifetimes. By tuning the surface and PL properties of CDs, we designed colloidal CD nano-photocatalysts for a broad range of Ni-mediated cross-couplings between aryl halides and nucleophiles. In particular, a CD decorated with amino groups permitted coupling to a wide range of aryl halides and thiols under mild, base-free conditions. Mechanistic studies suggested dynamic quenching of the CD excited state by the Ni co-catalyst and identified that pyridinium iodide (pyHI), a previously used additive in metallaphotocatalyzed cross-couplings, can also act as a photocatalyst in such transformations."}],"title":"Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings","quality_controlled":"1","issue":"22","status":"public","publisher":"American Chemical Society","extern":"1","_id":"12923","month":"10","date_created":"2023-05-08T08:28:54Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","date_updated":"2024-10-14T12:07:49Z","oa":1,"oa_version":"Published Version","publication":"ACS Catalysis","intvolume":"        12","main_file_link":[{"url":"https://doi.org/10.1021/acscatal.2c04025","open_access":"1"}],"scopus_import":"1","publication_identifier":{"eissn":["2155-5435"]},"author":[{"last_name":"Zhao","full_name":"Zhao, Zhouxiang","first_name":"Zhouxiang"},{"id":"93e5e5b2-0da6-11ed-8a41-af589a024726","first_name":"Bartholomäus","full_name":"Pieber, Bartholomäus","last_name":"Pieber","orcid":"0000-0001-8689-388X"},{"last_name":"Delbianco","first_name":"Martina","full_name":"Delbianco, Martina"}],"page":"13831-13837","type":"journal_article","article_processing_charge":"No","day":"27","fulldoi":"https://doi.org/10.1021/acscatal.2c04025","keyword":["Catalysis","General Chemistry"],"language":[{"iso":"eng"}],"date_published":"2022-10-27T00:00:00Z"},{"article_type":"original","date_created":"2023-05-08T08:30:11Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"11","extern":"1","_id":"12924","intvolume":"        61","oa_version":"Published Version","publication":"Angewandte Chemie International Edition","oa":1,"date_updated":"2024-10-14T12:07:40Z","year":"2022","volume":61,"citation":{"short":"C. Cavedon, S. Gisbertz, S. Reischauer, S. Vogl, E. Sperlich, J.H. Burke, R.F. Wallick, S. Schrottke, W. Hsu, L. Anghileri, Y. Pfeifer, N. Richter, C. Teutloff, H. Müller‐Werkmeister, D. Cambié, P.H. Seeberger, J. Vura‐Weis, R.M. van der Veen, A. Thomas, B. Pieber, Angewandte Chemie International Edition 61 (2022).","ieee":"C. Cavedon <i>et al.</i>, “Intraligand charge transfer enables visible‐light‐mediated Nickel‐catalyzed cross-coupling reactions,” <i>Angewandte Chemie International Edition</i>, vol. 61, no. 46. Wiley, 2022.","chicago":"Cavedon, Cristian, Sebastian Gisbertz, Susanne Reischauer, Sarah Vogl, Eric Sperlich, John H. Burke, Rachel F. Wallick, et al. “Intraligand Charge Transfer Enables Visible‐light‐mediated Nickel‐catalyzed Cross-Coupling Reactions.” <i>Angewandte Chemie International Edition</i>. Wiley, 2022. <a href=\"https://doi.org/10.1002/anie.202211433\">https://doi.org/10.1002/anie.202211433</a>.","apa":"Cavedon, C., Gisbertz, S., Reischauer, S., Vogl, S., Sperlich, E., Burke, J. H., … Pieber, B. (2022). Intraligand charge transfer enables visible‐light‐mediated Nickel‐catalyzed cross-coupling reactions. <i>Angewandte Chemie International Edition</i>. Wiley. <a href=\"https://doi.org/10.1002/anie.202211433\">https://doi.org/10.1002/anie.202211433</a>","ama":"Cavedon C, Gisbertz S, Reischauer S, et al. Intraligand charge transfer enables visible‐light‐mediated Nickel‐catalyzed cross-coupling reactions. <i>Angewandte Chemie International Edition</i>. 2022;61(46). doi:<a href=\"https://doi.org/10.1002/anie.202211433\">10.1002/anie.202211433</a>","mla":"Cavedon, Cristian, et al. “Intraligand Charge Transfer Enables Visible‐light‐mediated Nickel‐catalyzed Cross-Coupling Reactions.” <i>Angewandte Chemie International Edition</i>, vol. 61, no. 46, e202211433, Wiley, 2022, doi:<a href=\"https://doi.org/10.1002/anie.202211433\">10.1002/anie.202211433</a>.","ista":"Cavedon C, Gisbertz S, Reischauer S, Vogl S, Sperlich E, Burke JH, Wallick RF, Schrottke S, Hsu W, Anghileri L, Pfeifer Y, Richter N, Teutloff C, Müller‐Werkmeister H, Cambié D, Seeberger PH, Vura‐Weis J, van der Veen RM, Thomas A, Pieber B. 2022. Intraligand charge transfer enables visible‐light‐mediated Nickel‐catalyzed cross-coupling reactions. Angewandte Chemie International Edition. 61(46), e202211433."},"publication_status":"published","doi":"10.1002/anie.202211433","publisher":"Wiley","status":"public","issue":"46","quality_controlled":"1","title":"Intraligand charge transfer enables visible‐light‐mediated Nickel‐catalyzed cross-coupling reactions","abstract":[{"lang":"eng","text":"We demonstrate that several visible-light-mediated carbon−heteroatom cross-coupling reactions can be carried out using a photoactive NiII precatalyst that forms in situ from a nickel salt and a bipyridine ligand decorated with two carbazole groups (Ni(Czbpy)Cl2). The activation of this precatalyst towards cross-coupling reactions follows a hitherto undisclosed mechanism that is different from previously reported light-responsive nickel complexes that undergo metal-to-ligand charge transfer. Theoretical and spectroscopic investigations revealed that irradiation of Ni(Czbpy)Cl2 with visible light causes an initial intraligand charge transfer event that triggers productive catalysis. Ligand polymerization affords a porous, recyclable organic polymer for heterogeneous nickel catalysis of cross-coupling reactions. The heterogeneous catalyst shows stable performance in a packed-bed flow reactor during a week of continuous operation."}],"fulldoi":"https://doi.org/10.1002/anie.202211433","date_published":"2022-11-14T00:00:00Z","language":[{"iso":"eng"}],"keyword":["General Chemistry","Catalysis"],"article_number":"e202211433","author":[{"first_name":"Cristian","full_name":"Cavedon, Cristian","last_name":"Cavedon"},{"last_name":"Gisbertz","first_name":"Sebastian","full_name":"Gisbertz, Sebastian"},{"full_name":"Reischauer, Susanne","first_name":"Susanne","last_name":"Reischauer"},{"full_name":"Vogl, Sarah","first_name":"Sarah","last_name":"Vogl"},{"first_name":"Eric","full_name":"Sperlich, Eric","last_name":"Sperlich"},{"full_name":"Burke, John H.","first_name":"John H.","last_name":"Burke"},{"last_name":"Wallick","first_name":"Rachel F.","full_name":"Wallick, Rachel F."},{"last_name":"Schrottke","full_name":"Schrottke, Stefanie","first_name":"Stefanie"},{"full_name":"Hsu, Wei‐Hsin","first_name":"Wei‐Hsin","last_name":"Hsu"},{"last_name":"Anghileri","full_name":"Anghileri, Lucia","first_name":"Lucia"},{"full_name":"Pfeifer, Yannik","first_name":"Yannik","last_name":"Pfeifer"},{"last_name":"Richter","full_name":"Richter, Noah","first_name":"Noah"},{"last_name":"Teutloff","first_name":"Christian","full_name":"Teutloff, Christian"},{"full_name":"Müller‐Werkmeister, Henrike","first_name":"Henrike","last_name":"Müller‐Werkmeister"},{"last_name":"Cambié","full_name":"Cambié, Dario","first_name":"Dario"},{"last_name":"Seeberger","first_name":"Peter H.","full_name":"Seeberger, Peter H."},{"last_name":"Vura‐Weis","full_name":"Vura‐Weis, Josh","first_name":"Josh"},{"full_name":"van der Veen, Renske M.","first_name":"Renske M.","last_name":"van der Veen"},{"last_name":"Thomas","first_name":"Arne","full_name":"Thomas, Arne"},{"first_name":"Bartholomäus","id":"93e5e5b2-0da6-11ed-8a41-af589a024726","full_name":"Pieber, Bartholomäus","orcid":"0000-0001-8689-388X","last_name":"Pieber"}],"publication_identifier":{"eissn":["1521-3773"],"issn":["1433-7851"]},"scopus_import":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1002/anie.202211433"}],"day":"14","article_processing_charge":"No","type":"journal_article"},{"date_created":"2023-05-10T14:48:46Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","_id":"12938","extern":"1","month":"10","publication":"Physical Chemistry Chemical Physics","oa_version":"Published Version","intvolume":"        24","oa":1,"date_updated":"2023-05-15T07:54:08Z","citation":{"chicago":"Gamper, Jakob, Florian Kluibenschedl, Alexander K. H. Weiss, and Thomas S. Hofer. “From Vibrational Spectroscopy and Quantum Tunnelling to Periodic Band Structures – a Self-Supervised, All-Purpose Neural Network Approach to General Quantum Problems.” <i>Physical Chemistry Chemical Physics</i>. Royal Society of Chemistry, 2022. <a href=\"https://doi.org/10.1039/d2cp03921d\">https://doi.org/10.1039/d2cp03921d</a>.","apa":"Gamper, J., Kluibenschedl, F., Weiss, A. K. H., &#38; Hofer, T. S. (2022). From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems. <i>Physical Chemistry Chemical Physics</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/d2cp03921d\">https://doi.org/10.1039/d2cp03921d</a>","short":"J. Gamper, F. Kluibenschedl, A.K.H. Weiss, T.S. Hofer, Physical Chemistry Chemical Physics 24 (2022) 25191–25202.","ieee":"J. Gamper, F. Kluibenschedl, A. K. H. Weiss, and T. S. Hofer, “From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems,” <i>Physical Chemistry Chemical Physics</i>, vol. 24, no. 41. Royal Society of Chemistry, pp. 25191–25202, 2022.","ista":"Gamper J, Kluibenschedl F, Weiss AKH, Hofer TS. 2022. From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems. Physical Chemistry Chemical Physics. 24(41), 25191–25202.","ama":"Gamper J, Kluibenschedl F, Weiss AKH, Hofer TS. From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems. <i>Physical Chemistry Chemical Physics</i>. 2022;24(41):25191-25202. doi:<a href=\"https://doi.org/10.1039/d2cp03921d\">10.1039/d2cp03921d</a>","mla":"Gamper, Jakob, et al. “From Vibrational Spectroscopy and Quantum Tunnelling to Periodic Band Structures – a Self-Supervised, All-Purpose Neural Network Approach to General Quantum Problems.” <i>Physical Chemistry Chemical Physics</i>, vol. 24, no. 41, Royal Society of Chemistry, 2022, pp. 25191–202, doi:<a href=\"https://doi.org/10.1039/d2cp03921d\">10.1039/d2cp03921d</a>."},"publication_status":"published","volume":24,"year":"2022","doi":"10.1039/d2cp03921d","quality_controlled":"1","publisher":"Royal Society of Chemistry","status":"public","issue":"41","abstract":[{"text":"In this work, a feed-forward artificial neural network (FF-ANN) design capable of locating eigensolutions to Schrödinger's equation via self-supervised learning is outlined. Based on the input potential determining the nature of the quantum problem, the presented FF-ANN strategy identifies valid solutions solely by minimizing Schrödinger's equation encoded in a suitably designed global loss function. In addition to benchmark calculations of prototype systems with known analytical solutions, the outlined methodology was also applied to experimentally accessible quantum systems, such as the vibrational states of molecular hydrogen H2 and its isotopologues HD and D2 as well as the torsional tunnel splitting in the phenol molecule. It is shown that in conjunction with the use of SIREN activation functions a high accuracy in the energy eigenvalues and wavefunctions is achieved without the requirement to adjust the implementation to the vastly different range of input potentials, thereby even considering problems under periodic boundary conditions.","lang":"eng"}],"title":"From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems","fulldoi":"https://doi.org/10.1039/d2cp03921d","date_published":"2022-10-04T00:00:00Z","external_id":{"pmid":["36254856"]},"pmid":1,"keyword":["Physical and Theoretical Chemistry","General Physics and Astronomy"],"language":[{"iso":"eng"}],"page":"25191-25202","publication_identifier":{"issn":["1463-9076","1463-9084"]},"scopus_import":"1","main_file_link":[{"url":"https://doi.org/10.1039/D2CP03921D","open_access":"1"}],"author":[{"last_name":"Gamper","first_name":"Jakob","full_name":"Gamper, Jakob"},{"last_name":"Kluibenschedl","id":"7499e70e-eb2c-11ec-b98b-f925648bc9d9","first_name":"Florian","full_name":"Kluibenschedl, Florian"},{"last_name":"Weiss","full_name":"Weiss, Alexander K. H.","first_name":"Alexander K. H."},{"last_name":"Hofer","full_name":"Hofer, Thomas S.","first_name":"Thomas S."}],"day":"04","type":"journal_article","article_processing_charge":"No"},{"citation":{"ista":"Orliac E, Trejo Banos D, Ojavee S, Läll K, Mägi R, Visscher P, Robinson MR. 2022. Improving genome-wide association discovery and genomic prediction accuracy in biobank data, Dryad, <a href=\"https://doi.org/10.5061/DRYAD.GTHT76HMZ\">10.5061/DRYAD.GTHT76HMZ</a>.","ama":"Orliac E, Trejo Banos D, Ojavee S, et al. Improving genome-wide association discovery and genomic prediction accuracy in biobank data. 2022. doi:<a href=\"https://doi.org/10.5061/DRYAD.GTHT76HMZ\">10.5061/DRYAD.GTHT76HMZ</a>","mla":"Orliac, Etienne, et al. <i>Improving Genome-Wide Association Discovery and Genomic Prediction Accuracy in Biobank Data</i>. Dryad, 2022, doi:<a href=\"https://doi.org/10.5061/DRYAD.GTHT76HMZ\">10.5061/DRYAD.GTHT76HMZ</a>.","chicago":"Orliac, Etienne, Daniel Trejo Banos, Sven Ojavee, Kristi Läll, Reedik Mägi, Peter Visscher, and Matthew Richard Robinson. “Improving Genome-Wide Association Discovery and Genomic Prediction Accuracy in Biobank Data.” Dryad, 2022. <a href=\"https://doi.org/10.5061/DRYAD.GTHT76HMZ\">https://doi.org/10.5061/DRYAD.GTHT76HMZ</a>.","apa":"Orliac, E., Trejo Banos, D., Ojavee, S., Läll, K., Mägi, R., Visscher, P., &#38; Robinson, M. R. (2022). Improving genome-wide association discovery and genomic prediction accuracy in biobank data. Dryad. <a href=\"https://doi.org/10.5061/DRYAD.GTHT76HMZ\">https://doi.org/10.5061/DRYAD.GTHT76HMZ</a>","short":"E. Orliac, D. Trejo Banos, S. Ojavee, K. Läll, R. Mägi, P. Visscher, M.R. Robinson, (2022).","ieee":"E. Orliac <i>et al.</i>, “Improving genome-wide association discovery and genomic prediction accuracy in biobank data.” Dryad, 2022."},"corr_author":"1","year":"2022","tmp":{"short":"CC0 (1.0)","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","image":"/images/cc_0.png","name":"Creative Commons Public Domain Dedication (CC0 1.0)"},"doi":"10.5061/DRYAD.GTHT76HMZ","main_file_link":[{"url":"https://doi.org/10.5061/dryad.gtht76hmz","open_access":"1"}],"author":[{"first_name":"Etienne","full_name":"Orliac, Etienne","last_name":"Orliac"},{"first_name":"Daniel","full_name":"Trejo Banos, Daniel","last_name":"Trejo Banos"},{"first_name":"Sven","full_name":"Ojavee, Sven","last_name":"Ojavee"},{"last_name":"Läll","first_name":"Kristi","full_name":"Läll, Kristi"},{"last_name":"Mägi","first_name":"Reedik","full_name":"Mägi, Reedik"},{"last_name":"Visscher","first_name":"Peter","full_name":"Visscher, Peter"},{"orcid":"0000-0001-8982-8813","last_name":"Robinson","full_name":"Robinson, Matthew Richard","id":"E5D42276-F5DA-11E9-8E24-6303E6697425","first_name":"Matthew Richard"}],"license":"https://creativecommons.org/publicdomain/zero/1.0/","day":"02","publisher":"Dryad","status":"public","type":"research_data_reference","title":"Improving genome-wide association discovery and genomic prediction accuracy in biobank data","abstract":[{"text":"Genetically informed, deep-phenotyped biobanks are an important research resource and it is imperative that the most powerful, versatile, and efficient analysis approaches are used. Here, we apply our recently developed Bayesian grouped mixture of regressions model (GMRM) in the UK and Estonian Biobanks and obtain the highest genomic prediction accuracy reported to date across 21 heritable traits. When compared to other approaches, GMRM accuracy was greater than annotation prediction models run in the LDAK or LDPred-funct software by 15% (SE 7%) and 14% (SE 2%), respectively, and was 18% (SE 3%) greater than a baseline BayesR model without single-nucleotide polymorphism (SNP) markers grouped into minor allele frequency–linkage disequilibrium (MAF-LD) annotation categories. For height, the prediction accuracy R 2 was 47% in a UK Biobank holdout sample, which was 76% of the estimated h SNP 2 . We then extend our GMRM prediction model to provide mixed-linear model association (MLMA) SNP marker estimates for genome-wide association (GWAS) discovery, which increased the independent loci detected to 16,162 in unrelated UK Biobank individuals, compared to 10,550 from BoltLMM and 10,095 from Regenie, a 62 and 65% increase, respectively. The average χ2 value of the leading markers increased by 15.24 (SE 0.41) for every 1% increase in prediction accuracy gained over a baseline BayesR model across the traits. Thus, we show that modeling genetic associations accounting for MAF and LD differences among SNP markers, and incorporating prior knowledge of genomic function, is important for both genomic prediction and discovery in large-scale individual-level studies.","lang":"eng"}],"article_processing_charge":"No","date_created":"2023-05-23T16:28:13Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"MaRo"}],"_id":"13064","month":"09","fulldoi":"https://doi.org/10.5061/DRYAD.GTHT76HMZ","ddc":["570"],"date_published":"2022-09-02T00:00:00Z","oa_version":"Published Version","related_material":{"record":[{"id":"11733","status":"public","relation":"used_in_publication"}]},"oa":1,"date_updated":"2025-06-12T06:22:36Z"},{"citation":{"ista":"Koch E, Ravinet M, Westram AM, Jonannesson K, Butlin R. 2022. Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution, Dryad, <a href=\"https://doi.org/10.5061/DRYAD.M905QFV4B\">10.5061/DRYAD.M905QFV4B</a>.","mla":"Koch, Eva, et al. <i>Data from: Genetic Architecture of Repeated Phenotypic Divergence in Littorina Saxatilis Ecotype Evolution</i>. Dryad, 2022, doi:<a href=\"https://doi.org/10.5061/DRYAD.M905QFV4B\">10.5061/DRYAD.M905QFV4B</a>.","ama":"Koch E, Ravinet M, Westram AM, Jonannesson K, Butlin R. Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution. 2022. doi:<a href=\"https://doi.org/10.5061/DRYAD.M905QFV4B\">10.5061/DRYAD.M905QFV4B</a>","apa":"Koch, E., Ravinet, M., Westram, A. M., Jonannesson, K., &#38; Butlin, R. (2022). Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution. Dryad. <a href=\"https://doi.org/10.5061/DRYAD.M905QFV4B\">https://doi.org/10.5061/DRYAD.M905QFV4B</a>","chicago":"Koch, Eva, Mark Ravinet, Anja M Westram, Kerstin Jonannesson, and Roger Butlin. “Data from: Genetic Architecture of Repeated Phenotypic Divergence in Littorina Saxatilis Ecotype Evolution.” Dryad, 2022. <a href=\"https://doi.org/10.5061/DRYAD.M905QFV4B\">https://doi.org/10.5061/DRYAD.M905QFV4B</a>.","ieee":"E. Koch, M. Ravinet, A. M. Westram, K. Jonannesson, and R. Butlin, “Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution.” Dryad, 2022.","short":"E. Koch, M. Ravinet, A.M. Westram, K. Jonannesson, R. Butlin, (2022)."},"tmp":{"short":"CC0 (1.0)","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","image":"/images/cc_0.png","name":"Creative Commons Public Domain Dedication (CC0 1.0)"},"year":"2022","main_file_link":[{"url":"https://doi.org/10.5061/dryad.m905qfv4b","open_access":"1"}],"doi":"10.5061/DRYAD.M905QFV4B","author":[{"full_name":"Koch, Eva","first_name":"Eva","last_name":"Koch"},{"last_name":"Ravinet","full_name":"Ravinet, Mark","first_name":"Mark"},{"id":"3C147470-F248-11E8-B48F-1D18A9856A87","first_name":"Anja M","full_name":"Westram, Anja M","orcid":"0000-0003-1050-4969","last_name":"Westram"},{"last_name":"Jonannesson","first_name":"Kerstin","full_name":"Jonannesson, Kerstin"},{"last_name":"Butlin","first_name":"Roger","full_name":"Butlin, Roger"}],"status":"public","publisher":"Dryad","day":"28","type":"research_data_reference","article_processing_charge":"No","abstract":[{"lang":"eng","text":"Chromosomal inversions have been shown to play a major role in local adaptation by suppressing recombination between alternative arrangements and maintaining beneficial allele combinations. However, so far, their importance relative to the remaining genome remains largely unknown. Understanding the genetic architecture of adaptation requires better estimates of how loci of different effect sizes contribute to phenotypic variation. Here, we used three Swedish islands where the marine snail Littorina saxatilis has repeatedly evolved into two distinct ecotypes along a habitat transition. We estimated the contribution of inversion polymorphisms to phenotypic divergence while controlling for polygenic effects in the remaining genome using a quantitative genetics framework. We confirmed the importance of inversions but showed that contributions of loci outside inversions are of similar magnitude, with variable proportions dependent on the trait and the population. Some inversions showed consistent effects across all sites, whereas others exhibited site-specific effects, indicating that the genomic basis for replicated phenotypic divergence is only partly shared. The contributions of sexual dimorphism as well as environmental factors to phenotypic variation were significant but minor compared to inversions and polygenic background. Overall, this integrated approach provides insight into the multiple mechanisms contributing to parallel phenotypic divergence."}],"title":"Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution","date_created":"2023-05-23T16:33:12Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"NiBa"}],"_id":"13066","ddc":["570"],"month":"07","fulldoi":"https://doi.org/10.5061/DRYAD.M905QFV4B","oa_version":"Published Version","date_published":"2022-07-28T00:00:00Z","related_material":{"record":[{"id":"12247","status":"public","relation":"used_in_publication"}]},"date_updated":"2023-08-04T09:42:10Z","oa":1},{"year":"2022","citation":{"apa":"Postnikova, A., Koval, N., Nadiradze, G., &#38; Alistarh, D.-A. (2022). Multi-queues can be state-of-the-art priority schedulers. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.5733408\">https://doi.org/10.5281/ZENODO.5733408</a>","chicago":"Postnikova, Anastasiia, Nikita Koval, Giorgi Nadiradze, and Dan-Adrian Alistarh. “Multi-Queues Can Be State-of-the-Art Priority Schedulers.” Zenodo, 2022. <a href=\"https://doi.org/10.5281/ZENODO.5733408\">https://doi.org/10.5281/ZENODO.5733408</a>.","ieee":"A. Postnikova, N. Koval, G. Nadiradze, and D.-A. Alistarh, “Multi-queues can be state-of-the-art priority schedulers.” Zenodo, 2022.","short":"A. Postnikova, N. Koval, G. Nadiradze, D.-A. Alistarh, (2022).","ista":"Postnikova A, Koval N, Nadiradze G, Alistarh D-A. 2022. Multi-queues can be state-of-the-art priority schedulers, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.5733408\">10.5281/ZENODO.5733408</a>.","mla":"Postnikova, Anastasiia, et al. <i>Multi-Queues Can Be State-of-the-Art Priority Schedulers</i>. Zenodo, 2022, doi:<a href=\"https://doi.org/10.5281/ZENODO.5733408\">10.5281/ZENODO.5733408</a>.","ama":"Postnikova A, Koval N, Nadiradze G, Alistarh D-A. Multi-queues can be state-of-the-art priority schedulers. 2022. doi:<a href=\"https://doi.org/10.5281/ZENODO.5733408\">10.5281/ZENODO.5733408</a>"},"corr_author":"1","author":[{"full_name":"Postnikova, Anastasiia","first_name":"Anastasiia","last_name":"Postnikova"},{"last_name":"Koval","id":"2F4DB10C-F248-11E8-B48F-1D18A9856A87","first_name":"Nikita","full_name":"Koval, Nikita"},{"last_name":"Nadiradze","orcid":"0000-0001-5634-0731","full_name":"Nadiradze, Giorgi","first_name":"Giorgi","id":"3279A00C-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0003-3650-940X","last_name":"Alistarh","full_name":"Alistarh, Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","first_name":"Dan-Adrian"}],"doi":"10.5281/ZENODO.5733408","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.5813846"}],"day":"03","publisher":"Zenodo","status":"public","article_processing_charge":"No","abstract":[{"text":"The source code for replicating experiments presented in the paper.\r\n\r\nThe implementation of the designed priority schedulers can be found in Galois-2.2.1/include/Galois/WorkList/:\r\nStealingMultiQueue.h is the StealingMultiQueue.\r\nMQOptimized/ contains MQ Optimized variants.\r\n\r\nWe provide images that contain all the dependencies and datasets. Images can be pulled from npostnikova/mq-based-schedulers repository, or downloaded from Zenodo. See readme for more detail.","lang":"eng"}],"title":"Multi-queues can be state-of-the-art priority schedulers","type":"research_data_reference","department":[{"_id":"DaAl"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2023-05-23T17:05:40Z","fulldoi":"https://doi.org/10.5281/ZENODO.5733408","month":"01","ddc":["510"],"_id":"13076","date_published":"2022-01-03T00:00:00Z","oa_version":"Published Version","oa":1,"date_updated":"2025-04-14T13:51:59Z","related_material":{"record":[{"relation":"used_in_publication","id":"11180","status":"public"}],"link":[{"relation":"software","url":"https://github.com/npostnikova/mq-based-schedulers/tree/v1.1"}]}},{"date_published":"2022-12-01T00:00:00Z","language":[{"iso":"eng"}],"ddc":["000"],"has_accepted_license":"1","day":"01","article_processing_charge":"No","type":"conference","page":"518-531","author":[{"last_name":"Van Der Plas","first_name":"Thijs L.","full_name":"Van Der Plas, Thijs L."},{"orcid":"0000-0003-3295-6181","last_name":"Vogels","first_name":"Tim P","id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","full_name":"Vogels, Tim P"},{"full_name":"Manohar, Sanjay G.","first_name":"Sanjay G.","last_name":"Manohar"}],"publication_identifier":{"eissn":["2640-3498"]},"scopus_import":"1","intvolume":"       199","file_date_updated":"2023-07-18T06:32:38Z","oa_version":"Published Version","publication":"Proceedings of Machine Learning Research","oa":1,"file":[{"date_updated":"2023-07-18T06:32:38Z","file_id":"13243","success":1,"file_name":"2022_PMLR_vanderPlas.pdf","creator":"dernst","checksum":"7530a93ef42e10b4db1e5e4b69796e93","file_size":585135,"relation":"main_file","access_level":"open_access","content_type":"application/pdf","date_created":"2023-07-18T06:32:38Z"}],"date_updated":"2025-04-14T07:54:31Z","department":[{"_id":"TiVo"}],"date_created":"2023-07-16T22:01:12Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"12","_id":"13239","ec_funded":1,"project":[{"name":"Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning.","grant_number":"819603","_id":"0aacfa84-070f-11eb-9043-d7eb2c709234","call_identifier":"H2020"}],"publisher":"ML Research Press","status":"public","quality_controlled":"1","abstract":[{"text":"Brains are thought to engage in predictive learning - learning to predict upcoming stimuli - to construct an internal model of their environment. This is especially notable for spatial navigation, as first described by Tolman’s latent learning tasks. However, predictive learning has also been observed in sensory cortex, in settings unrelated to spatial navigation. Apart from normative frameworks such as active inference or efficient coding, what could be the utility of learning to predict the patterns of occurrence of correlated stimuli? Here we show that prediction, and thereby the construction of an internal model of sequential stimuli, can bootstrap the learning process of a working memory task in a recurrent neural network. We implemented predictive learning alongside working memory match-tasks, and networks emerged to solve the prediction task first by encoding information across time to predict upcoming stimuli, and then eavesdropped on this solution to solve the matching task. Eavesdropping was most beneficial when neural resources were limited. Hence, predictive learning acts as a general neural mechanism to learn to store sensory information that can later be essential for working memory tasks.","lang":"eng"}],"title":"Predictive learning enables neural networks to learn complex working memory tasks","acknowledgement":"The authors would like to thank members of the Vogels lab and Manohar lab, as well as Adam Packer, Andrew Saxe, Stefano Sarao Mannelli and Jacob Bakermans for fruitful discussions and comments on earlier versions of the manuscript.\r\nTLvdP was supported by funding from the Biotechnology and Biological Sciences Research Council (BBSRC) [grant number BB/M011224/1]. TPV was supported by an ERC Consolidator Grant (SYNAPSEEK). SGM was funded by a MRC Clinician Scientist Fellowship MR/P00878X and Leverhulme Grant RPG-2018-310.","year":"2022","volume":199,"publication_status":"published","citation":{"ista":"Van Der Plas TL, Vogels TP, Manohar SG. 2022. Predictive learning enables neural networks to learn complex working memory tasks. Proceedings of Machine Learning Research. vol. 199, 518–531.","mla":"Van Der Plas, Thijs L., et al. “Predictive Learning Enables Neural Networks to Learn Complex Working Memory Tasks.” <i>Proceedings of Machine Learning Research</i>, vol. 199, ML Research Press, 2022, pp. 518–31.","ama":"Van Der Plas TL, Vogels TP, Manohar SG. Predictive learning enables neural networks to learn complex working memory tasks. In: <i>Proceedings of Machine Learning Research</i>. Vol 199. ML Research Press; 2022:518-531.","apa":"Van Der Plas, T. L., Vogels, T. P., &#38; Manohar, S. G. (2022). Predictive learning enables neural networks to learn complex working memory tasks. In <i>Proceedings of Machine Learning Research</i> (Vol. 199, pp. 518–531). ML Research Press.","chicago":"Van Der Plas, Thijs L., Tim P Vogels, and Sanjay G. Manohar. “Predictive Learning Enables Neural Networks to Learn Complex Working Memory Tasks.” In <i>Proceedings of Machine Learning Research</i>, 199:518–31. ML Research Press, 2022.","ieee":"T. L. Van Der Plas, T. P. Vogels, and S. G. Manohar, “Predictive learning enables neural networks to learn complex working memory tasks,” in <i>Proceedings of Machine Learning Research</i>, 2022, vol. 199, pp. 518–531.","short":"T.L. Van Der Plas, T.P. Vogels, S.G. Manohar, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 518–531."}},{"doi":"10.3389/ffunb.2022.1029114","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"volume":3,"year":"2022","publication_status":"published","citation":{"short":"K.D. Ingole, N. Nagarajan, S. Uhse, C. Giannini, A. Djamei, Frontiers in Fungal Biology 3 (2022).","ieee":"K. D. Ingole, N. Nagarajan, S. Uhse, C. Giannini, and A. Djamei, “Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis,” <i>Frontiers in Fungal Biology</i>, vol. 3. Frontiers Media, 2022.","chicago":"Ingole, Kishor D., Nithya Nagarajan, Simon Uhse, Caterina Giannini, and Armin Djamei. “Tetracycline-Controlled (TetON) Gene Expression System for the Smut Fungus Ustilago Maydis.” <i>Frontiers in Fungal Biology</i>. Frontiers Media, 2022. <a href=\"https://doi.org/10.3389/ffunb.2022.1029114\">https://doi.org/10.3389/ffunb.2022.1029114</a>.","apa":"Ingole, K. D., Nagarajan, N., Uhse, S., Giannini, C., &#38; Djamei, A. (2022). Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis. <i>Frontiers in Fungal Biology</i>. Frontiers Media. <a href=\"https://doi.org/10.3389/ffunb.2022.1029114\">https://doi.org/10.3389/ffunb.2022.1029114</a>","ama":"Ingole KD, Nagarajan N, Uhse S, Giannini C, Djamei A. Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis. <i>Frontiers in Fungal Biology</i>. 2022;3. doi:<a href=\"https://doi.org/10.3389/ffunb.2022.1029114\">10.3389/ffunb.2022.1029114</a>","mla":"Ingole, Kishor D., et al. “Tetracycline-Controlled (TetON) Gene Expression System for the Smut Fungus Ustilago Maydis.” <i>Frontiers in Fungal Biology</i>, vol. 3, 1029114, Frontiers Media, 2022, doi:<a href=\"https://doi.org/10.3389/ffunb.2022.1029114\">10.3389/ffunb.2022.1029114</a>.","ista":"Ingole KD, Nagarajan N, Uhse S, Giannini C, Djamei A. 2022. Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis. Frontiers in Fungal Biology. 3, 1029114."},"title":"Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis","abstract":[{"lang":"eng","text":"Ustilago maydis is a biotrophic phytopathogenic fungus that causes corn smut disease. As a well-established model system, U. maydis is genetically fully accessible with large omics datasets available and subject to various biological questions ranging from DNA-repair, RNA-transport, and protein secretion to disease biology. For many genetic approaches, tight control of transgene regulation is important. Here we established an optimised version of the Tetracycline-ON (TetON) system for U. maydis. We demonstrate the Tetracycline concentration-dependent expression of fluorescent protein transgenes and the system’s suitability for the induced expression of the toxic protein BCL2 Associated X-1 (Bax1). The Golden Gate compatible vector system contains a native minimal promoter from the mating factor a-1 encoding gene, mfa with ten copies of the tet-regulated operator (tetO) and a codon optimised Tet-repressor (tetR*) which is translationally fused to the native transcriptional corepressor Mql1 (UMAG_05501). The metabolism-independent transcriptional regulator system is functional both, in liquid culture as well as on solid media in the presence of the inducer and can become a useful tool for toxin-antitoxin studies, identification of antifungal proteins, and to study functions of toxic gene products in Ustilago maydis."}],"acknowledgement":"The research leading to these results received funding from the European Research Council under the European Union’s Seventh Framework Programme ERC-2013-STG (grant agreement: 335691), the Austrian Science Fund (I 3033-B22), the Austrian Academy of Sciences, and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy EXC-2070-390732324 (PhenoRob) and DFG grant (DJ 64/5-1).\r\nWe would like to thank the GMI/IMBA/IMP core facilities for their excellent technical support. We would like to acknowledge Dr. Sinéad A. O’Sullivan from DZNE, University of Bonn for providing anti-GFP antibodies. The authors are thankful to the Excellence University of Bonn for providing infrastructure and instrumentation facilities at the INRES-Plant Pathology department.","status":"public","publisher":"Frontiers Media","quality_controlled":"1","month":"10","_id":"13240","department":[{"_id":"JiFr"}],"article_type":"original","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","date_created":"2023-07-16T22:01:12Z","file":[{"date_updated":"2023-07-17T11:46:34Z","file_id":"13242","success":1,"file_name":"2023_FrontiersFungalBio_Ingole.pdf","creator":"dernst","checksum":"2254e0119c0749d6f7237084fefcece6","file_size":27966699,"relation":"main_file","access_level":"open_access","content_type":"application/pdf","date_created":"2023-07-17T11:46:34Z"}],"date_updated":"2024-03-06T14:01:57Z","oa":1,"file_date_updated":"2023-07-17T11:46:34Z","intvolume":"         3","oa_version":"Published Version","publication":"Frontiers in Fungal Biology","author":[{"full_name":"Ingole, Kishor D.","first_name":"Kishor D.","last_name":"Ingole"},{"last_name":"Nagarajan","full_name":"Nagarajan, Nithya","first_name":"Nithya"},{"last_name":"Uhse","full_name":"Uhse, Simon","first_name":"Simon"},{"full_name":"Giannini, Caterina","first_name":"Caterina","id":"e3fdddd5-f6e0-11ea-865d-ca99ee6367f4","last_name":"Giannini"},{"last_name":"Djamei","full_name":"Djamei, Armin","first_name":"Armin"}],"scopus_import":"1","publication_identifier":{"eissn":["2673-6128"]},"article_number":"1029114","article_processing_charge":"Yes","type":"journal_article","day":"19","ddc":["579"],"fulldoi":"https://doi.org/10.3389/ffunb.2022.1029114","has_accepted_license":"1","language":[{"iso":"eng"}],"date_published":"2022-10-19T00:00:00Z"},{"corr_author":"1","page":"59-83","author":[{"last_name":"Konstantinov","id":"4B9D76E4-F248-11E8-B48F-1D18A9856A87","first_name":"Nikola H","full_name":"Konstantinov, Nikola H"},{"first_name":"Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","full_name":"Lampert, Christoph","orcid":"0000-0001-8622-7887","last_name":"Lampert"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2102.06004"}],"scopus_import":"1","publication_identifier":{"eissn":["2640-3498"]},"day":"01","article_processing_charge":"No","type":"conference","arxiv":1,"external_id":{"arxiv":["2102.06004"]},"date_published":"2022-12-01T00:00:00Z","language":[{"iso":"eng"}],"year":"2022","volume":171,"citation":{"ista":"Konstantinov NH, Lampert C. 2022. On the impossibility of fairness-aware learning from corrupted data. Proceedings of Machine Learning Research. vol. 171, 59–83.","mla":"Konstantinov, Nikola H., and Christoph Lampert. “On the Impossibility of Fairness-Aware Learning from Corrupted Data.” <i>Proceedings of Machine Learning Research</i>, vol. 171, ML Research Press, 2022, pp. 59–83.","ama":"Konstantinov NH, Lampert C. On the impossibility of fairness-aware learning from corrupted data. In: <i>Proceedings of Machine Learning Research</i>. Vol 171. ML Research Press; 2022:59-83.","apa":"Konstantinov, N. H., &#38; Lampert, C. (2022). On the impossibility of fairness-aware learning from corrupted data. In <i>Proceedings of Machine Learning Research</i> (Vol. 171, pp. 59–83). ML Research Press.","chicago":"Konstantinov, Nikola H, and Christoph Lampert. “On the Impossibility of Fairness-Aware Learning from Corrupted Data.” In <i>Proceedings of Machine Learning Research</i>, 171:59–83. ML Research Press, 2022.","ieee":"N. H. Konstantinov and C. Lampert, “On the impossibility of fairness-aware learning from corrupted data,” in <i>Proceedings of Machine Learning Research</i>, 2022, vol. 171, pp. 59–83.","short":"N.H. Konstantinov, C. Lampert, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 59–83."},"publication_status":"published","status":"public","publisher":"ML Research Press","quality_controlled":"1","abstract":[{"lang":"eng","text":"Addressing fairness concerns about machine learning models is a crucial step towards their long-term adoption in real-world automated systems. Many approaches for training fair models from data have been developed and an implicit assumption about such algorithms is that they are able to recover a fair model, despite potential historical biases in the data. In this work we show a number of impossibility results that indicate that there is no learning algorithm that can recover a fair model when a proportion of the dataset is subject to arbitrary manipulations. Specifically, we prove that there are situations in which an adversary can force any learner to return a biased classifier, with or without degrading accuracy, and that the strength of this bias increases for learning problems with underrepresented protected groups in the data. Our results emphasize on the importance of studying further data corruption models of various strength and of establishing stricter data collection practices for fairness-aware learning."}],"title":"On the impossibility of fairness-aware learning from corrupted data","acknowledgement":"This paper is a shortened, workshop version of Konstantinov and Lampert (2021),\r\nhttps://arxiv.org/abs/2102.06004. For further results, including an analysis of algorithms achieving the lower bounds from this paper, we refer to the full version.","department":[{"_id":"ChLa"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2023-07-16T22:01:13Z","month":"12","_id":"13241","intvolume":"       171","oa_version":"Preprint","publication":"Proceedings of Machine Learning Research","date_updated":"2024-10-09T21:05:54Z","oa":1,"related_material":{"record":[{"relation":"extended_version","status":"public","id":"10802"}]}},{"citation":{"ieee":"T. Bian <i>et al.</i>, “Catalan solids from superionic nanoparticles,” <i>ChemRxiv</i>. .","short":"T. Bian, I. Lobato, J. Wang, T.A. Nitka, T.S. Peled, B. Lee, S. Van Aert, S. Bals, L. Vuković, T. Altantzis, P. Král, R. Klajn, ChemRxiv (n.d.).","apa":"Bian, T., Lobato, I., Wang, J., Nitka, T. A., Peled, T. S., Lee, B., … Klajn, R. (n.d.). Catalan solids from superionic nanoparticles. <i>ChemRxiv</i>. <a href=\"https://doi.org/10.26434/chemrxiv-2022-klncg\">https://doi.org/10.26434/chemrxiv-2022-klncg</a>","chicago":"Bian, Tong, Ivan Lobato, Ji Wang, Tara A. Nitka, Tzuf Shay Peled, Byeongdu Lee, Sandra Van Aert, et al. “Catalan Solids from Superionic Nanoparticles.” <i>ChemRxiv</i>, n.d. <a href=\"https://doi.org/10.26434/chemrxiv-2022-klncg\">https://doi.org/10.26434/chemrxiv-2022-klncg</a>.","mla":"Bian, Tong, et al. “Catalan Solids from Superionic Nanoparticles.” <i>ChemRxiv</i>, doi:<a href=\"https://doi.org/10.26434/chemrxiv-2022-klncg\">10.26434/chemrxiv-2022-klncg</a>.","ama":"Bian T, Lobato I, Wang J, et al. Catalan solids from superionic nanoparticles. <i>ChemRxiv</i>. doi:<a href=\"https://doi.org/10.26434/chemrxiv-2022-klncg\">10.26434/chemrxiv-2022-klncg</a>","ista":"Bian T, Lobato I, Wang J, Nitka TA, Peled TS, Lee B, Van Aert S, Bals S, Vuković L, Altantzis T, Král P, Klajn R. Catalan solids from superionic nanoparticles. ChemRxiv, <a href=\"https://doi.org/10.26434/chemrxiv-2022-klncg\">10.26434/chemrxiv-2022-klncg</a>."},"publication_status":"submitted","year":"2022","main_file_link":[{"open_access":"1","url":"https://doi.org/10.26434/chemrxiv-2022-klncg"}],"doi":"10.26434/chemrxiv-2022-klncg","author":[{"full_name":"Bian, Tong","first_name":"Tong","last_name":"Bian"},{"last_name":"Lobato","full_name":"Lobato, Ivan","first_name":"Ivan"},{"first_name":"Ji","full_name":"Wang, Ji","last_name":"Wang"},{"full_name":"Nitka, Tara A.","first_name":"Tara A.","last_name":"Nitka"},{"last_name":"Peled","first_name":"Tzuf Shay","full_name":"Peled, Tzuf Shay"},{"last_name":"Lee","first_name":"Byeongdu","full_name":"Lee, Byeongdu"},{"full_name":"Van Aert, Sandra","first_name":"Sandra","last_name":"Van Aert"},{"full_name":"Bals, Sara","first_name":"Sara","last_name":"Bals"},{"first_name":"Lela","full_name":"Vuković, Lela","last_name":"Vuković"},{"first_name":"Thomas","full_name":"Altantzis, Thomas","last_name":"Altantzis"},{"first_name":"Petr","full_name":"Král, Petr","last_name":"Král"},{"last_name":"Klajn","id":"8e84690e-1e48-11ed-a02b-a1e6fb8bb53b","first_name":"Rafal","full_name":"Klajn, Rafal"}],"status":"public","day":"08","type":"preprint","abstract":[{"lang":"eng","text":"The self-assembly of inorganic nanoparticles (NPs) into ordered structures (superlattices) has led to a wide range of nanomaterials with unique optical, magnetic, electronic, and catalytic properties. Various interactions have been employed to direct the crystallization of NPs, including van der Waals forces, hydrogen bonding, as well as electric and magnetic dipolar interactions. Among them, Coulombic interactions—ubiquitous in nature and the main driving force behind the formation of many minerals, such as fluorite or rock salt—have remained largely underexplored, owing to the rapid charge exchange between NPs bearing high densities of opposite charges (superionic NPs). Here, we worked with superionic NPs under conditions (room temperature, concentrated salt solutions) that preserved their native surface charge density. We demonstrate that under these conditions, the Coulombic interactions between superionic NPs are reminiscent of short-range intermolecular interactions. Our methodology was used to assemble oppositely charged NPs into high-quality superlattices exhibiting Catalan shapes. Depending on their size ratio, the NPs assembled into either rhombic dodecahedra or triakis tetrahedra with structures mimicking those of the ionic solids CsCl and Th3P4, respectively. We envision that the methodology described here can be applied to a wide range of charged NPs of various sizes, shapes, and compositions, thus facilitating the discovery of new nanomaterials."}],"title":"Catalan solids from superionic nanoparticles","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2023-08-01T09:30:08Z","extern":"1","_id":"13345","fulldoi":"https://doi.org/10.26434/chemrxiv-2022-klncg","month":"04","publication":"ChemRxiv","oa_version":"Preprint","date_published":"2022-04-08T00:00:00Z","date_updated":"2024-10-14T12:09:21Z","language":[{"iso":"eng"}],"oa":1},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2023-08-01T09:30:47Z","article_type":"original","extern":"1","_id":"13347","month":"03","oa_version":"Published Version","publication":"Communications Chemistry","intvolume":"         5","oa":1,"date_updated":"2024-10-14T12:09:07Z","citation":{"ista":"Yanshyna O, Białek MJ, Chashchikhin OV, Klajn R. 2022. Encapsulation within a coordination cage modulates the reactivity of redox-active dyes. Communications Chemistry. 5, 44.","mla":"Yanshyna, Oksana, et al. “Encapsulation within a Coordination Cage Modulates the Reactivity of Redox-Active Dyes.” <i>Communications Chemistry</i>, vol. 5, 44, Springer Nature, 2022, doi:<a href=\"https://doi.org/10.1038/s42004-022-00658-8\">10.1038/s42004-022-00658-8</a>.","ama":"Yanshyna O, Białek MJ, Chashchikhin OV, Klajn R. Encapsulation within a coordination cage modulates the reactivity of redox-active dyes. <i>Communications Chemistry</i>. 2022;5. doi:<a href=\"https://doi.org/10.1038/s42004-022-00658-8\">10.1038/s42004-022-00658-8</a>","apa":"Yanshyna, O., Białek, M. J., Chashchikhin, O. V., &#38; Klajn, R. (2022). Encapsulation within a coordination cage modulates the reactivity of redox-active dyes. <i>Communications Chemistry</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s42004-022-00658-8\">https://doi.org/10.1038/s42004-022-00658-8</a>","chicago":"Yanshyna, Oksana, Michał J. Białek, Oleg V. Chashchikhin, and Rafal Klajn. “Encapsulation within a Coordination Cage Modulates the Reactivity of Redox-Active Dyes.” <i>Communications Chemistry</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s42004-022-00658-8\">https://doi.org/10.1038/s42004-022-00658-8</a>.","ieee":"O. Yanshyna, M. J. Białek, O. V. Chashchikhin, and R. Klajn, “Encapsulation within a coordination cage modulates the reactivity of redox-active dyes,” <i>Communications Chemistry</i>, vol. 5. Springer Nature, 2022.","short":"O. Yanshyna, M.J. Białek, O.V. Chashchikhin, R. Klajn, Communications Chemistry 5 (2022)."},"publication_status":"published","year":"2022","volume":5,"doi":"10.1038/s42004-022-00658-8","quality_controlled":"1","publisher":"Springer Nature","status":"public","abstract":[{"lang":"eng","text":"Confining molecules within well-defined nanosized spaces can profoundly alter their physicochemical characteristics. For example, the controlled aggregation of chromophores into discrete oligomers has been shown to tune their optical properties whereas encapsulation of reactive species within molecular hosts can increase their stability. The resazurin/resorufin pair has been widely used for detecting redox processes in biological settings; yet, how tight confinement affects the properties of these two dyes remains to be explored. Here, we show that a flexible Pd<jats:sup>II</jats:sup><jats:sub>6</jats:sub>L<jats:sub>4</jats:sub> coordination cage can efficiently encapsulate both resorufin and resazurin in the form of dimers, dramatically modulating their optical properties. Furthermore, binding within the cage significantly decreases the reduction rate of resazurin to resorufin, and the rate of the subsequent reduction of resorufin to dihydroresorufin. During our studies, we also found that upon dilution, the Pd<jats:sup>II</jats:sup><jats:sub>6</jats:sub>L<jats:sub>4</jats:sub> cage disassembles to afford Pd<jats:sup>II</jats:sup><jats:sub>2</jats:sub>L<jats:sub>2</jats:sub> species, which lacks the ability to form inclusion complexes – a process that can be reversed upon the addition of the strongly binding resorufin/resazurin guests. We expect that the herein disclosed ability of a water-soluble cage to reversibly modulate the optical and chemical properties of a molecular redox probe will expand the versatility of synthetic fluorescent probes in biologically relevant environments."}],"title":"Encapsulation within a coordination cage modulates the reactivity of redox-active dyes","fulldoi":"https://doi.org/10.1038/s42004-022-00658-8","date_published":"2022-03-30T00:00:00Z","keyword":["Materials Chemistry","Biochemistry","Environmental Chemistry","General Chemistry"],"language":[{"iso":"eng"}],"article_number":"44","scopus_import":"1","publication_identifier":{"eissn":["2399-3669"]},"main_file_link":[{"url":"https://doi.org/10.1038/s42004-022-00658-8","open_access":"1"}],"author":[{"last_name":"Yanshyna","first_name":"Oksana","full_name":"Yanshyna, Oksana"},{"full_name":"Białek, Michał J.","first_name":"Michał J.","last_name":"Białek"},{"full_name":"Chashchikhin, Oleg V.","first_name":"Oleg V.","last_name":"Chashchikhin"},{"id":"8e84690e-1e48-11ed-a02b-a1e6fb8bb53b","first_name":"Rafal","full_name":"Klajn, Rafal","last_name":"Klajn"}],"day":"30","type":"journal_article","article_processing_charge":"No"},{"doi":"10.1021/jacs.2c08901","citation":{"ista":"Wang J, Avram L, Diskin-Posner Y, Białek MJ, Stawski W, Feller M, Klajn R. 2022. Altering the properties of spiropyran switches using coordination cages with different symmetries. Journal of the American Chemical Society. 144(46), 21244–21254.","ama":"Wang J, Avram L, Diskin-Posner Y, et al. Altering the properties of spiropyran switches using coordination cages with different symmetries. <i>Journal of the American Chemical Society</i>. 2022;144(46):21244-21254. doi:<a href=\"https://doi.org/10.1021/jacs.2c08901\">10.1021/jacs.2c08901</a>","mla":"Wang, Jinhua, et al. “Altering the Properties of Spiropyran Switches Using Coordination Cages with Different Symmetries.” <i>Journal of the American Chemical Society</i>, vol. 144, no. 46, American Chemical Society, 2022, pp. 21244–54, doi:<a href=\"https://doi.org/10.1021/jacs.2c08901\">10.1021/jacs.2c08901</a>.","chicago":"Wang, Jinhua, Liat Avram, Yael Diskin-Posner, Michał J. Białek, Wojciech Stawski, Moran Feller, and Rafal Klajn. “Altering the Properties of Spiropyran Switches Using Coordination Cages with Different Symmetries.” <i>Journal of the American Chemical Society</i>. American Chemical Society, 2022. <a href=\"https://doi.org/10.1021/jacs.2c08901\">https://doi.org/10.1021/jacs.2c08901</a>.","apa":"Wang, J., Avram, L., Diskin-Posner, Y., Białek, M. J., Stawski, W., Feller, M., &#38; Klajn, R. (2022). Altering the properties of spiropyran switches using coordination cages with different symmetries. <i>Journal of the American Chemical Society</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/jacs.2c08901\">https://doi.org/10.1021/jacs.2c08901</a>","short":"J. Wang, L. Avram, Y. Diskin-Posner, M.J. Białek, W. Stawski, M. Feller, R. Klajn, Journal of the American Chemical Society 144 (2022) 21244–21254.","ieee":"J. Wang <i>et al.</i>, “Altering the properties of spiropyran switches using coordination cages with different symmetries,” <i>Journal of the American Chemical Society</i>, vol. 144, no. 46. American Chemical Society, pp. 21244–21254, 2022."},"publication_status":"published","year":"2022","volume":144,"title":"Altering the properties of spiropyran switches using coordination cages with different symmetries","abstract":[{"lang":"eng","text":"Molecular confinement effects can profoundly alter the physicochemical properties of the confined species. A plethora of organic molecules were encapsulated within the cavities of supramolecular hosts, and the impact of the cavity size and polarity was widely investigated. However, the extent to which the properties of the confined guests can be affected by the symmetry of the cage─which dictates the shape of the cavity─remains to be understood. Here we show that cage symmetry has a dramatic effect on the equilibrium between two isomers of the encapsulated spiropyran guests. Working with two Pd-based coordination cages featuring similarly sized but differently shaped hydrophobic cavities, we found a highly selective stabilization of the isomer whose shape matches that of the cavity of the cage. A Td-symmetric cage stabilized the spiropyrans’ colorless form and rendered them photochemically inert. In contrast, a D2h-symmetric cage favored the colored isomer, while maintaining reversible photoswitching between the two states of the encapsulated spiropyrans. We also show that the switching kinetics strongly depend on the substitution pattern on the spiropyran scaffold. This finding was used to fabricate a time-sensitive information storage medium with tunable lifetimes of the encoded messages."}],"quality_controlled":"1","publisher":"American Chemical Society","issue":"46","status":"public","extern":"1","_id":"13348","month":"11","date_created":"2023-08-01T09:31:01Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","oa":1,"date_updated":"2024-10-14T12:08:54Z","publication":"Journal of the American Chemical Society","oa_version":"Published Version","intvolume":"       144","scopus_import":"1","publication_identifier":{"issn":["0002-7863"],"eissn":["1520-5126"]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1021/jacs.2c08901"}],"author":[{"full_name":"Wang, Jinhua","first_name":"Jinhua","last_name":"Wang"},{"full_name":"Avram, Liat","first_name":"Liat","last_name":"Avram"},{"first_name":"Yael","full_name":"Diskin-Posner, Yael","last_name":"Diskin-Posner"},{"last_name":"Białek","full_name":"Białek, Michał J.","first_name":"Michał J."},{"last_name":"Stawski","first_name":"Wojciech","full_name":"Stawski, Wojciech"},{"last_name":"Feller","full_name":"Feller, Moran","first_name":"Moran"},{"last_name":"Klajn","full_name":"Klajn, Rafal","id":"8e84690e-1e48-11ed-a02b-a1e6fb8bb53b","first_name":"Rafal"}],"page":"21244-21254","type":"journal_article","article_processing_charge":"No","day":"15","fulldoi":"https://doi.org/10.1021/jacs.2c08901","keyword":["Colloid and Surface Chemistry","Biochemistry","General Chemistry","Catalysis"],"language":[{"iso":"eng"}],"date_published":"2022-11-15T00:00:00Z"},{"article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2023-08-01T09:32:14Z","month":"09","_id":"13350","extern":"1","intvolume":"         8","publication":"Chem","oa_version":"Published Version","oa":1,"date_updated":"2024-10-14T12:10:00Z","year":"2022","volume":8,"publication_status":"published","citation":{"chicago":"Gemen, Julius, Michał J. Białek, Miri Kazes, Linda J.W. Shimon, Moran Feller, Sergey N. Semenov, Yael Diskin-Posner, Dan Oron, and Rafal Klajn. “Ternary Host-Guest Complexes with Rapid Exchange Kinetics and Photoswitchable Fluorescence.” <i>Chem</i>. Elsevier, 2022. <a href=\"https://doi.org/10.1016/j.chempr.2022.05.008\">https://doi.org/10.1016/j.chempr.2022.05.008</a>.","apa":"Gemen, J., Białek, M. J., Kazes, M., Shimon, L. J. W., Feller, M., Semenov, S. N., … Klajn, R. (2022). Ternary host-guest complexes with rapid exchange kinetics and photoswitchable fluorescence. <i>Chem</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.chempr.2022.05.008\">https://doi.org/10.1016/j.chempr.2022.05.008</a>","short":"J. Gemen, M.J. Białek, M. Kazes, L.J.W. Shimon, M. Feller, S.N. Semenov, Y. Diskin-Posner, D. Oron, R. Klajn, Chem 8 (2022) 2362–2379.","ieee":"J. Gemen <i>et al.</i>, “Ternary host-guest complexes with rapid exchange kinetics and photoswitchable fluorescence,” <i>Chem</i>, vol. 8, no. 9. Elsevier, pp. 2362–2379, 2022.","ista":"Gemen J, Białek MJ, Kazes M, Shimon LJW, Feller M, Semenov SN, Diskin-Posner Y, Oron D, Klajn R. 2022. Ternary host-guest complexes with rapid exchange kinetics and photoswitchable fluorescence. Chem. 8(9), 2362–2379.","ama":"Gemen J, Białek MJ, Kazes M, et al. Ternary host-guest complexes with rapid exchange kinetics and photoswitchable fluorescence. <i>Chem</i>. 2022;8(9):2362-2379. doi:<a href=\"https://doi.org/10.1016/j.chempr.2022.05.008\">10.1016/j.chempr.2022.05.008</a>","mla":"Gemen, Julius, et al. “Ternary Host-Guest Complexes with Rapid Exchange Kinetics and Photoswitchable Fluorescence.” <i>Chem</i>, vol. 8, no. 9, Elsevier, 2022, pp. 2362–79, doi:<a href=\"https://doi.org/10.1016/j.chempr.2022.05.008\">10.1016/j.chempr.2022.05.008</a>."},"doi":"10.1016/j.chempr.2022.05.008","publisher":"Elsevier","issue":"9","status":"public","quality_controlled":"1","abstract":[{"lang":"eng","text":"Confinement within molecular cages can dramatically modify the physicochemical properties of the encapsulated guest molecules, but such host-guest complexes have mainly been studied in a static context. Combining confinement effects with fast guest exchange kinetics could pave the way toward stimuli-responsive supramolecular systems—and ultimately materials—whose desired properties could be tailored “on demand” rapidly and reversibly. Here, we demonstrate rapid guest exchange between inclusion complexes of an open-window coordination cage that can simultaneously accommodate two guest molecules. Working with two types of guests, anthracene derivatives and BODIPY dyes, we show that the former can substantially modify the optical properties of the latter upon noncovalent heterodimer formation. We also studied the light-induced covalent dimerization of encapsulated anthracenes and found large effects of confinement on reaction rates. By coupling the photodimerization with the rapid guest exchange, we developed a new way to modulate fluorescence using external irradiation."}],"title":"Ternary host-guest complexes with rapid exchange kinetics and photoswitchable fluorescence","fulldoi":"https://doi.org/10.1016/j.chempr.2022.05.008","date_published":"2022-09-08T00:00:00Z","external_id":{"pmid":["36133801"]},"pmid":1,"language":[{"iso":"eng"}],"keyword":["Materials Chemistry","Biochemistry (medical)","General Chemical Engineering","Environmental Chemistry","Biochemistry","General Chemistry"],"page":"2362-2379","author":[{"last_name":"Gemen","full_name":"Gemen, Julius","first_name":"Julius"},{"first_name":"Michał J.","full_name":"Białek, Michał J.","last_name":"Białek"},{"last_name":"Kazes","first_name":"Miri","full_name":"Kazes, Miri"},{"last_name":"Shimon","first_name":"Linda J.W.","full_name":"Shimon, Linda J.W."},{"full_name":"Feller, Moran","first_name":"Moran","last_name":"Feller"},{"full_name":"Semenov, Sergey N.","first_name":"Sergey N.","last_name":"Semenov"},{"last_name":"Diskin-Posner","full_name":"Diskin-Posner, Yael","first_name":"Yael"},{"last_name":"Oron","full_name":"Oron, Dan","first_name":"Dan"},{"last_name":"Klajn","first_name":"Rafal","id":"8e84690e-1e48-11ed-a02b-a1e6fb8bb53b","full_name":"Klajn, Rafal"}],"publication_identifier":{"issn":["2451-9308"],"eissn":["2451-9294"]},"scopus_import":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.chempr.2022.05.008"}],"day":"08","article_processing_charge":"No","type":"journal_article"},{"publication":"Chem","oa_version":"Published Version","intvolume":"         8","oa":1,"date_updated":"2024-10-14T12:09:33Z","date_created":"2023-08-01T09:32:27Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","extern":"1","_id":"13351","month":"05","quality_controlled":"1","publisher":"Elsevier","issue":"5","status":"public","abstract":[{"lang":"eng","text":"Molecular recognition is at the heart of the noncovalent synthesis of supramolecular assemblies and, at higher length scales, supramolecular materials. In a recent publication in Nature, Stoddart and co-workers demonstrate that the formation of host-guest complexes can be catalyzed by one of the simplest possible catalysts: the electron."}],"title":"Electron catalysis expands the supramolecular chemist’s toolbox","citation":{"apa":"Gemen, J., &#38; Klajn, R. (2022). Electron catalysis expands the supramolecular chemist’s toolbox. <i>Chem</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.chempr.2022.04.022\">https://doi.org/10.1016/j.chempr.2022.04.022</a>","chicago":"Gemen, Julius, and Rafal Klajn. “Electron Catalysis Expands the Supramolecular Chemist’s Toolbox.” <i>Chem</i>. Elsevier, 2022. <a href=\"https://doi.org/10.1016/j.chempr.2022.04.022\">https://doi.org/10.1016/j.chempr.2022.04.022</a>.","ieee":"J. Gemen and R. Klajn, “Electron catalysis expands the supramolecular chemist’s toolbox,” <i>Chem</i>, vol. 8, no. 5. Elsevier, pp. 1183–1186, 2022.","short":"J. Gemen, R. Klajn, Chem 8 (2022) 1183–1186.","ista":"Gemen J, Klajn R. 2022. Electron catalysis expands the supramolecular chemist’s toolbox. Chem. 8(5), 1183–1186.","mla":"Gemen, Julius, and Rafal Klajn. “Electron Catalysis Expands the Supramolecular Chemist’s Toolbox.” <i>Chem</i>, vol. 8, no. 5, Elsevier, 2022, pp. 1183–86, doi:<a href=\"https://doi.org/10.1016/j.chempr.2022.04.022\">10.1016/j.chempr.2022.04.022</a>.","ama":"Gemen J, Klajn R. Electron catalysis expands the supramolecular chemist’s toolbox. <i>Chem</i>. 2022;8(5):1183-1186. doi:<a href=\"https://doi.org/10.1016/j.chempr.2022.04.022\">10.1016/j.chempr.2022.04.022</a>"},"publication_status":"published","year":"2022","volume":8,"doi":"10.1016/j.chempr.2022.04.022","date_published":"2022-05-12T00:00:00Z","keyword":["Materials Chemistry","Biochemistry (medical)","General Chemical Engineering","Environmental Chemistry","Biochemistry","General Chemistry"],"language":[{"iso":"eng"}],"fulldoi":"https://doi.org/10.1016/j.chempr.2022.04.022","day":"12","type":"journal_article","article_processing_charge":"No","page":"1183-1186","publication_identifier":{"eissn":["2451-9294"],"issn":["2451-9308"]},"scopus_import":"1","main_file_link":[{"url":"https://doi.org/10.1016/j.chempr.2022.04.022","open_access":"1"}],"author":[{"last_name":"Gemen","first_name":"Julius","full_name":"Gemen, Julius"},{"full_name":"Klajn, Rafal","id":"8e84690e-1e48-11ed-a02b-a1e6fb8bb53b","first_name":"Rafal","last_name":"Klajn"}]},{"date_published":"2022-03-14T00:00:00Z","external_id":{"pmid":["35288671"]},"pmid":1,"keyword":["Electrical and Electronic Engineering","Condensed Matter Physics","General Materials Science","Biomedical Engineering","Atomic and Molecular Physics","and Optics","Bioengineering"],"language":[{"iso":"eng"}],"fulldoi":"https://doi.org/10.1038/s41565-022-01079-3","day":"14","type":"journal_article","article_processing_charge":"No","page":"408-416","publication_identifier":{"eissn":["1748-3395"],"issn":["1748-3387"]},"scopus_import":"1","main_file_link":[{"open_access":"1","url":"https://hal.science/hal-03623036/"}],"author":[{"last_name":"Cai","full_name":"Cai, Jiarong","first_name":"Jiarong"},{"last_name":"Zhang","first_name":"Wei","full_name":"Zhang, Wei"},{"full_name":"Xu, Liguang","first_name":"Liguang","last_name":"Xu"},{"full_name":"Hao, Changlong","first_name":"Changlong","last_name":"Hao"},{"last_name":"Ma","first_name":"Wei","full_name":"Ma, Wei"},{"last_name":"Sun","full_name":"Sun, Maozhong","first_name":"Maozhong"},{"last_name":"Wu","full_name":"Wu, Xiaoling","first_name":"Xiaoling"},{"last_name":"Qin","first_name":"Xian","full_name":"Qin, Xian"},{"first_name":"Felippe Mariano","full_name":"Colombari, Felippe Mariano","last_name":"Colombari"},{"full_name":"de Moura, André Farias","first_name":"André Farias","last_name":"de Moura"},{"last_name":"Xu","full_name":"Xu, Jiahui","first_name":"Jiahui"},{"last_name":"Silva","first_name":"Mariana Cristina","full_name":"Silva, Mariana Cristina"},{"full_name":"Carneiro-Neto, Evaldo Batista","first_name":"Evaldo Batista","last_name":"Carneiro-Neto"},{"last_name":"Gomes","full_name":"Gomes, Weverson Rodrigues","first_name":"Weverson Rodrigues"},{"last_name":"Vallée","full_name":"Vallée, Renaud A. L.","first_name":"Renaud A. L."},{"last_name":"Pereira","full_name":"Pereira, Ernesto Chaves","first_name":"Ernesto Chaves"},{"last_name":"Liu","first_name":"Xiaogang","full_name":"Liu, Xiaogang"},{"full_name":"Xu, Chuanlai","first_name":"Chuanlai","last_name":"Xu"},{"last_name":"Klajn","first_name":"Rafal","id":"8e84690e-1e48-11ed-a02b-a1e6fb8bb53b","full_name":"Klajn, Rafal"},{"last_name":"Kotov","first_name":"Nicholas A.","full_name":"Kotov, Nicholas A."},{"first_name":"Hua","full_name":"Kuang, Hua","last_name":"Kuang"}],"oa_version":"Published Version","publication":"Nature Nanotechnology","intvolume":"        17","oa":1,"date_updated":"2024-10-14T12:10:13Z","date_created":"2023-08-01T09:32:40Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","_id":"13352","extern":"1","month":"03","quality_controlled":"1","publisher":"Springer Nature","status":"public","issue":"4","abstract":[{"lang":"eng","text":"Optoelectronic effects differentiating absorption of right and left circularly polarized photons in thin films of chiral materials are typically prohibitively small for their direct photocurrent observation. Chiral metasurfaces increase the electronic sensitivity to circular polarization, but their out-of-plane architecture entails manufacturing and performance trade-offs. Here, we show that nanoporous thin films of chiral nanoparticles enable high sensitivity to circular polarization due to light-induced polarization-dependent ion accumulation at nanoparticle interfaces. Self-assembled multilayers of gold nanoparticles modified with L-phenylalanine generate a photocurrent under right-handed circularly polarized light as high as 2.41 times higher than under left-handed circularly polarized light. The strong plasmonic coupling between the multiple nanoparticles producing planar chiroplasmonic modes facilitates the ejection of electrons, whose entrapment at the membrane–electrolyte interface is promoted by a thick layer of enantiopure phenylalanine. Demonstrated detection of light ellipticity with equal sensitivity at all incident angles mimics phenomenological aspects of polarization vision in marine animals. The simplicity of self-assembly and sensitivity of polarization detection found in optoionic membranes opens the door to a family of miniaturized fluidic devices for chiral photonics."}],"title":"Polarization-sensitive optoionic membranes from chiral plasmonic nanoparticles","publication_status":"published","citation":{"short":"J. Cai, W. Zhang, L. Xu, C. Hao, W. Ma, M. Sun, X. Wu, X. Qin, F.M. Colombari, A.F. de Moura, J. Xu, M.C. Silva, E.B. Carneiro-Neto, W.R. Gomes, R.A.L. Vallée, E.C. Pereira, X. Liu, C. Xu, R. Klajn, N.A. Kotov, H. Kuang, Nature Nanotechnology 17 (2022) 408–416.","ieee":"J. Cai <i>et al.</i>, “Polarization-sensitive optoionic membranes from chiral plasmonic nanoparticles,” <i>Nature Nanotechnology</i>, vol. 17, no. 4. Springer Nature, pp. 408–416, 2022.","chicago":"Cai, Jiarong, Wei Zhang, Liguang Xu, Changlong Hao, Wei Ma, Maozhong Sun, Xiaoling Wu, et al. “Polarization-Sensitive Optoionic Membranes from Chiral Plasmonic Nanoparticles.” <i>Nature Nanotechnology</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s41565-022-01079-3\">https://doi.org/10.1038/s41565-022-01079-3</a>.","apa":"Cai, J., Zhang, W., Xu, L., Hao, C., Ma, W., Sun, M., … Kuang, H. (2022). Polarization-sensitive optoionic membranes from chiral plasmonic nanoparticles. <i>Nature Nanotechnology</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41565-022-01079-3\">https://doi.org/10.1038/s41565-022-01079-3</a>","ama":"Cai J, Zhang W, Xu L, et al. Polarization-sensitive optoionic membranes from chiral plasmonic nanoparticles. <i>Nature Nanotechnology</i>. 2022;17(4):408-416. doi:<a href=\"https://doi.org/10.1038/s41565-022-01079-3\">10.1038/s41565-022-01079-3</a>","mla":"Cai, Jiarong, et al. “Polarization-Sensitive Optoionic Membranes from Chiral Plasmonic Nanoparticles.” <i>Nature Nanotechnology</i>, vol. 17, no. 4, Springer Nature, 2022, pp. 408–16, doi:<a href=\"https://doi.org/10.1038/s41565-022-01079-3\">10.1038/s41565-022-01079-3</a>.","ista":"Cai J, Zhang W, Xu L, Hao C, Ma W, Sun M, Wu X, Qin X, Colombari FM, de Moura AF, Xu J, Silva MC, Carneiro-Neto EB, Gomes WR, Vallée RAL, Pereira EC, Liu X, Xu C, Klajn R, Kotov NA, Kuang H. 2022. Polarization-sensitive optoionic membranes from chiral plasmonic nanoparticles. Nature Nanotechnology. 17(4), 408–416."},"volume":17,"year":"2022","doi":"10.1038/s41565-022-01079-3"}]