--- OA_place: publisher OA_type: gold _id: '15027' abstract: - lang: eng text: 'This data repository underpins the paper, published in PNAS (doi pending) and bioarxiv (doi: https://doi.org/10.1101/2023.07.05.547777).' article_processing_charge: No author: - first_name: Samo full_name: Curk, Samo id: 031eff0d-d481-11ee-8508-cd12a7a86e5b last_name: Curk orcid: 0000-0001-6160-9766 citation: ama: Curk S. aggregation_data. 2023. apa: Curk, S. (2023). aggregation_data. Figshare. chicago: Curk, Samo. “Aggregation_data.” Figshare, 2023. ieee: S. Curk, “aggregation_data.” Figshare, 2023. ista: Curk S. 2023. aggregation_data, Figshare. mla: Curk, Samo. Aggregation_data. Figshare, 2023. short: S. Curk, (2023). corr_author: '1' date_created: 2024-02-26T08:37:57Z date_published: 2023-12-13T00:00:00Z date_updated: 2026-09-24T10:27:35Z day: '13' ddc: - '570' department: - _id: AnSa has_accepted_license: '1' license: https://creativecommons.org/publicdomain/zero/1.0/ main_file_link: - open_access: '1' url: https://figshare.com/s/85798bba4ebc68d822ed month: '12' oa: 1 oa_version: Published Version publisher: Figshare related_material: record: - id: '15001' relation: used_in_publication status: public status: public title: aggregation_data tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- OA_place: repository OA_type: green _id: '23012' abstract: - lang: eng text: The onset of turbulence in pipe flow has defied detailed understanding ever since Reynolds' first observations revealed the spatially-heterogeneous nature of the transition. While recent theoretical studies and experiments in simpler, shear-driven flows suggest that the onset of turbulence is a directed percolation non-equilibrium phase transition, whether these findings are generic and apply also to open or pressure-driven flows is unknown. In pipe flow, the extremely long time scales near the transition make direct observations of critical behavior virtually impossible. Here, we circumvent these limitations by experimentally characterizing all pairwise interactions between localized patches of turbulence ("puffs"), and using these interactions as input to renormalization group and computer simulations of minimal models that extrapolate to long length and time scales. We show that the universality class of the transition is directed percolation, from which emerges a jammed phase of puffs above the critical point. The stronger interactions in the jamming regime enable us to explicitly measure the turbulent fraction and confirm model predictions. Our work shows that directed percolation scaling applies beyond simple closed shear flows, and underscores how statistical mechanics can lead to profound, quantitative and predictive insights on turbulent flows and their phases. article_processing_charge: No author: - first_name: Grégoire full_name: Lemoult, Grégoire last_name: Lemoult citation: ama: Lemoult G. Directed percolation and puff jamming near the transition to pipe turbulence. 2023. doi:10.5281/zenodo.10308791 apa: Lemoult, G. (2023). Directed percolation and puff jamming near the transition to pipe turbulence. Zenodo. https://doi.org/10.5281/zenodo.10308791 chicago: Lemoult, Grégoire. “Directed Percolation and Puff Jamming near the Transition to Pipe Turbulence.” Zenodo, 2023. https://doi.org/10.5281/zenodo.10308791. ieee: G. Lemoult, “Directed percolation and puff jamming near the transition to pipe turbulence.” Zenodo, 2023. ista: Lemoult G. 2023. Directed percolation and puff jamming near the transition to pipe turbulence, Zenodo, 10.5281/zenodo.10308791. mla: Lemoult, Grégoire. Directed Percolation and Puff Jamming near the Transition to Pipe Turbulence. Zenodo, 2023, doi:10.5281/zenodo.10308791. short: G. Lemoult, (2023). date_created: 2026-10-01T07:47:57Z date_published: 2023-12-08T00:00:00Z date_updated: 2026-10-01T07:50:31Z day: '08' department: - _id: BjHo doi: 10.5281/zenodo.10308791 fulldoi: https://doi.org/10.5281/zenodo.10308791 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.10308791 month: '12' oa: 1 oa_version: None publisher: Zenodo related_material: record: - id: '17128' relation: used_in_publication status: public status: public title: Directed percolation and puff jamming near the transition to pipe turbulence type: research_data_reference user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2023' ... --- OA_place: repository OA_type: green _id: '22961' abstract: - lang: eng text: "## Rationale:\r\nDifferentiation trajectories to generate specialized cellular features rely on sets of transcription factors (TFs) whose temporal dynamics and coexistence underlie morphological and neurochemical divergence among neurons and neuroendocrine cells. Even though transcriptional programs were extensively studied in the developing nervous system, the coupling of TFs to effector gene networks that time and shape the morphogenesis of these polarized cells is less known.\r\n\r\n## Results:\r\nHere, we make the curious observation that evolutionarily conserved Onecut3, a subordinate in the Onecut TF family known to control fate selection in progenitors, is instead expressed in fate-restricted neuroblasts in the vertebrate hypothalamus. In particular, a pool of Ascl1-containing progenitors in the midgestational mouse hypothalamus gives rise to both GABA and glutamate neurons destined to the periventricular and lateral hypothalamus, respectively, which uniformly upregulate Onecut3 only when exiting the proliferative zone of the 3rd ventricle. By combining single-cell RNA-seq, genetic Onecut3 reporters, gain-of-function models in vitro, and loss-of-function analysis in early-developing mice and C. elegans, we identify that Onecut3 instructs neuronal differentiation and maturation, through a Navigator-2 pathway to modulate neuritogenesis and leading process motility.\r\n\r\n\r\n## Conclusion:\r\nOnecut3 executes an unexpected function by inducing cytoskeletal modifications of key importance for neuronal maturation and network integration during the morphogenesis of many neuronal phenotypes in the vertebrate hypothalamus." article_processing_charge: No author: - first_name: Maja full_name: Zupancic, Maja last_name: Zupancic - first_name: Erik full_name: Keimpema, Erik last_name: Keimpema - first_name: Evgenii full_name: Tretiakov, Evgenii last_name: Tretiakov - first_name: Pradeep full_name: Bhandari, Pradeep last_name: Bhandari - first_name: Stephanie full_name: Eder, Stephanie last_name: Eder - first_name: Itamar full_name: Lev, Itamar last_name: Lev - first_name: Wolfgang full_name: Härtig, Wolfgang last_name: Härtig - first_name: Manuel full_name: Zimmer, Manuel last_name: Zimmer - first_name: Frederic full_name: Clotman, Frederic last_name: Clotman - first_name: Tibor full_name: Harkany, Tibor last_name: Harkany citation: ama: Zupancic M, Keimpema E, Tretiakov E, et al. Glutamate and GABA neurons share cascading Onecut3/NAV2-driven differentiation trajectories in the developing hypothalamus. 2023. doi:10.6084/m9.figshare.22680433 apa: Zupancic, M., Keimpema, E., Tretiakov, E., Bhandari, P., Eder, S., Lev, I., … Harkany, T. (2023). Glutamate and GABA neurons share cascading Onecut3/NAV2-driven differentiation trajectories in the developing hypothalamus. Repository. https://doi.org/10.6084/m9.figshare.22680433 chicago: Zupancic, Maja, Erik Keimpema, Evgenii Tretiakov, Pradeep Bhandari, Stephanie Eder, Itamar Lev, Wolfgang Härtig, Manuel Zimmer, Frederic Clotman, and Tibor Harkany. “Glutamate and GABA Neurons Share Cascading Onecut3/NAV2-Driven Differentiation Trajectories in the Developing Hypothalamus.” Repository, 2023. https://doi.org/10.6084/m9.figshare.22680433. ieee: M. Zupancic et al., “Glutamate and GABA neurons share cascading Onecut3/NAV2-driven differentiation trajectories in the developing hypothalamus.” Repository, 2023. ista: Zupancic M, Keimpema E, Tretiakov E, Bhandari P, Eder S, Lev I, Härtig W, Zimmer M, Clotman F, Harkany T. 2023. Glutamate and GABA neurons share cascading Onecut3/NAV2-driven differentiation trajectories in the developing hypothalamus, Repository, 10.6084/m9.figshare.22680433. mla: Zupancic, Maja, et al. Glutamate and GABA Neurons Share Cascading Onecut3/NAV2-Driven Differentiation Trajectories in the Developing Hypothalamus. Repository, 2023, doi:10.6084/m9.figshare.22680433. short: M. Zupancic, E. Keimpema, E. Tretiakov, P. Bhandari, S. Eder, I. Lev, W. Härtig, M. Zimmer, F. Clotman, T. Harkany, (2023). date_created: 2026-09-17T11:23:46Z date_published: 2023-04-23T00:00:00Z date_updated: 2026-10-01T12:17:26Z day: '23' ddc: - '570' department: - _id: RySh doi: 10.6084/m9.figshare.22680433 fulldoi: https://doi.org/10.6084/m9.figshare.22680433 main_file_link: - open_access: '1' url: https://doi.org/10.6084/m9.figshare.22680433 month: '04' oa: 1 oa_version: None publisher: Repository related_material: record: - id: '18445' relation: used_in_publication status: public status: public title: Glutamate and GABA neurons share cascading Onecut3/NAV2-driven differentiation trajectories in the developing hypothalamus type: research_data_reference user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2023' ... --- _id: '14514' abstract: - lang: eng text: 'The elastic Leidenfrost effect occurs when a vaporizable soft solid is lowered onto a hot surface. Evaporative flow couples to elastic deformation, giving spontaneous bouncing or steady-state floating. The effect embodies an unexplored interplay between thermodynamics, elasticity, and lubrication: despite being observed, its basic theoretical description remains a challenge. Here, we provide a theory of elastic Leidenfrost floating. As weight increases, a rigid solid sits closer to the hot surface. By contrast, we discover an elasticity-dominated regime where the heavier the solid, the higher it floats. This geometry-governed behavior is reminiscent of the dynamics of large liquid Leidenfrost drops. We show that this elastic regime is characterized by Hertzian behavior of the solid’s underbelly and derive how the float height scales with materials parameters. Introducing a dimensionless elastic Leidenfrost number, we capture the crossover between rigid and Hertzian behavior. Our results provide theoretical underpinning for recent experiments, and point to the design of novel soft machines.' acknowledgement: "We are grateful to Dominic Vella, Jens Eggers, John Kolinski, Joshua Dijksman, and Daniel Bonn for insightful discussions. J. B. and A. S. acknowledge the support of the Engineering and Physical Sciences Research Council (EPSRC) through New Investigator Award No. EP/\r\nT000961/1. A. S. acknowledges the support of Royal Society under Grant No. RGS/R2/202135. J. E. S. acknowledges EPSRC Grants No. EP/N016602/1, EP/S022848/1, EP/S029966/1, and EP/P031684/1." article_number: '168201' article_processing_charge: Yes (in subscription journal) article_type: original author: - first_name: Jack full_name: Binysh, Jack last_name: Binysh - first_name: Indrajit full_name: Chakraborty, Indrajit last_name: Chakraborty - first_name: Mykyta V. full_name: Chubynsky, Mykyta V. last_name: Chubynsky - first_name: Vicente L full_name: Diaz Melian, Vicente L id: b6798902-eea0-11ea-9cbc-a8e14286c631 last_name: Diaz Melian - first_name: Scott R full_name: Waitukaitis, Scott R id: 3A1FFC16-F248-11E8-B48F-1D18A9856A87 last_name: Waitukaitis orcid: 0000-0002-2299-3176 - first_name: James E. full_name: Sprittles, James E. last_name: Sprittles - first_name: Anton full_name: Souslov, Anton last_name: Souslov citation: ama: Binysh J, Chakraborty I, Chubynsky MV, et al. Modeling Leidenfrost levitation of soft elastic solids. Physical Review Letters. 2023;131(16). doi:10.1103/PhysRevLett.131.168201 apa: Binysh, J., Chakraborty, I., Chubynsky, M. V., Diaz Melian, V. L., Waitukaitis, S. R., Sprittles, J. E., & Souslov, A. (2023). Modeling Leidenfrost levitation of soft elastic solids. Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.131.168201 chicago: Binysh, Jack, Indrajit Chakraborty, Mykyta V. Chubynsky, Vicente L Diaz Melian, Scott R Waitukaitis, James E. Sprittles, and Anton Souslov. “Modeling Leidenfrost Levitation of Soft Elastic Solids.” Physical Review Letters. American Physical Society, 2023. https://doi.org/10.1103/PhysRevLett.131.168201. ieee: J. Binysh et al., “Modeling Leidenfrost levitation of soft elastic solids,” Physical Review Letters, vol. 131, no. 16. American Physical Society, 2023. ista: Binysh J, Chakraborty I, Chubynsky MV, Diaz Melian VL, Waitukaitis SR, Sprittles JE, Souslov A. 2023. Modeling Leidenfrost levitation of soft elastic solids. Physical Review Letters. 131(16), 168201. mla: Binysh, Jack, et al. “Modeling Leidenfrost Levitation of Soft Elastic Solids.” Physical Review Letters, vol. 131, no. 16, 168201, American Physical Society, 2023, doi:10.1103/PhysRevLett.131.168201. short: J. Binysh, I. Chakraborty, M.V. Chubynsky, V.L. Diaz Melian, S.R. Waitukaitis, J.E. Sprittles, A. Souslov, Physical Review Letters 131 (2023). date_created: 2023-11-12T23:00:55Z date_published: 2023-10-20T00:00:00Z date_updated: 2026-10-02T08:44:47Z day: '20' ddc: - '530' department: - _id: ScWa doi: 10.1103/PhysRevLett.131.168201 external_id: isi: - '001164388300007' pmid: - '37925690' file: - access_level: open_access checksum: 1a419e25b762aadffbcc8eb2e609bd97 content_type: application/pdf creator: dernst date_created: 2023-11-13T09:12:58Z date_updated: 2023-11-13T09:12:58Z file_id: '14524' file_name: 2023_PhysRevLetters_Binysh.pdf file_size: 724098 relation: main_file success: 1 file_date_updated: 2023-11-13T09:12:58Z fulldoi: https://doi.org/10.1103/PhysRevLett.131.168201 has_accepted_license: '1' intvolume: ' 131' isi: 1 issue: '16' language: - iso: eng month: '10' oa: 1 oa_version: Published Version pmid: 1 publication: Physical Review Letters publication_identifier: eissn: - 1079-7114 issn: - 0031-9007 publication_status: published publisher: American Physical Society quality_controlled: '1' related_material: record: - id: '14523' relation: research_data status: public - id: '23005' relation: dissertation_contains status: public scopus_import: '1' status: public title: Modeling Leidenfrost levitation of soft elastic solids tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 131 year: '2023' ... --- _id: '14919' abstract: - lang: eng text: "GLACIER METEOROLOGICAL DATA SWISS ALPS -2022\r\n" article_processing_charge: No author: - first_name: Thomas full_name: Shaw, Thomas id: 3caa3f91-1f03-11ee-96ce-e0e553054d6e last_name: Shaw orcid: 0000-0001-7640-6152 - first_name: Pascal full_name: Buri, Pascal id: 317987aa-9421-11ee-ac5a-b941b041abba last_name: Buri - first_name: Michael full_name: McCarthy, Michael last_name: McCarthy - first_name: Evan full_name: Miles, Evan last_name: Miles - first_name: Francesca full_name: Pellicciotti, Francesca id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70 last_name: Pellicciotti orcid: 0000-0002-5554-8087 citation: ama: Shaw T, Buri P, McCarthy M, Miles E, Pellicciotti F. Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer. 2023. doi:10.5281/ZENODO.8277285 apa: Shaw, T., Buri, P., McCarthy, M., Miles, E., & Pellicciotti, F. (2023). Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer. Zenodo. https://doi.org/10.5281/ZENODO.8277285 chicago: Shaw, Thomas, Pascal Buri, Michael McCarthy, Evan Miles, and Francesca Pellicciotti. “Air Temperature and Near-Surface Meteorology Datasets on Three Swiss Glaciers - Extreme 2022 Summer.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.8277285. ieee: T. Shaw, P. Buri, M. McCarthy, E. Miles, and F. Pellicciotti, “Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer.” Zenodo, 2023. ista: Shaw T, Buri P, McCarthy M, Miles E, Pellicciotti F. 2023. Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer, Zenodo, 10.5281/ZENODO.8277285. mla: Shaw, Thomas, et al. Air Temperature and Near-Surface Meteorology Datasets on Three Swiss Glaciers - Extreme 2022 Summer. Zenodo, 2023, doi:10.5281/ZENODO.8277285. short: T. Shaw, P. Buri, M. McCarthy, E. Miles, F. Pellicciotti, (2023). corr_author: '1' date_created: 2024-01-31T12:08:26Z date_published: 2023-08-23T00:00:00Z date_updated: 2026-10-02T08:57:44Z day: '23' ddc: - '550' department: - _id: FrPe doi: 10.5281/ZENODO.8277285 fulldoi: https://doi.org/10.5281/ZENODO.8277285 main_file_link: - open_access: '1' url: https://doi.org/10.5281/ZENODO.8277285 month: '08' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '14885' relation: used_in_publication status: public status: public title: Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- OA_place: repository OA_type: green _id: '23030' abstract: - lang: eng text: "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\r\n GLACIER METEOROLOGICAL DATA\r\n \ SWISS ALPS -2022\r\n%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\r\nData gathered and structured by Thomas Shaw (WSL, Switzerland (until Oct 2022)).\r\n\r\nOn and off-glacier meteorological data were gathered and analysed as part of a Marie-Curie project 'TEMPEST' (tempestglacier.com).\r\nThe dataset consists of hourly low-cost AWS (Davis Vantage Pro2) and simple temperature ('T-')logger (Onset TidBitv2) sensor records on three glaciers in the Swiss Alps (Canton Valais).\r\n\r\nThe glaciers are:\r\nHaut Glacier d'Arolla (45.967°N, 7.526°E)\r\nGlacier d'Otemma (45.956°N, 7.454°E)\r\nGlacier du Corbassière (45.975°N, 7.303°E)\r\n\r\nData are provided in individual Excel files per glacier that contain all hourly data for the sub-period of comparison (11 August-18 September, 2022).\r\nData are quality controlled and checked for obvious errors. Any uncertain values are set to NaN.\r\nAir temperature data at 'T-Logger' stations were corrected for heating errors using the comparison of measurements in artificially (AWS) and naturally ventilated (T-Logger) radiation shields on Arolla and Corbassiere glaciers.\r\nA multiple linear regression model was applied to estimate these differences at all T-Loggers on all glaciers as a function of incoming shortwave radiation (MeteoSwiss station-derived) and wind speed (measured at AWS).\r\n\r\nEach Excel file contains a 'META' tab for simple metadata related to station locations (latitude 'LAT' (°), longitude 'LON' (°), elevation 'ELE' (m a.s.l.) and flowpath length 'FPL' (m)) and a 'DATA' tab for the hourly data. \r\nSuffixes to the station names in each column provide the variable measured at that site:\r\n'TA' - 2m air temperature (°C)\r\n'TA_Hi' - Maximum air temperature for timestep (°C)\r\n'TA_Lo' - Minimum air temperature for timestep (°C)\r\n'RH' - 2m relative humiditiy (%)\r\n'FF' - Wind speed (m s^-1)\r\n'FF_Hi' - Maximum wind speed for timestep (m s^-1)\r\n'FF_Lo' - Minimum wind speed for timestep (m s^-1)\r\n'DIR' - Wind direction (°)\r\n'DEW' - Dewpoint temperature (°C)\r\n'PRESS' - Air pressure (mbar)\r\n'CHILL' - Calculated wind chill temperature (°C)\r\n'Heat_idx' - Calculated heat index (°C)\r\n'THSW' - A calculated index that uses humidity and temperature like for the Heat Index, but also includes the heating effects of sunshine and the cooling effects of wind (like Wind Chill) to calculate an apparent temperature of what it \"feels\" like out in the shade\r\n\r\nWind speeds and direction measured at off-glacier sites 'OG' are for the lower off-glacier station ('OG_Low'). " acknowledgement: This work was funded by the EU Horizon 2020 Marie Skłodowska-Curie Actions Grant 101026058. article_processing_charge: No author: - first_name: Thomas E. full_name: Shaw, Thomas E. last_name: Shaw - first_name: Pascal full_name: Buri, Pascal last_name: Buri - first_name: Michael full_name: McCarthy, Michael last_name: McCarthy - first_name: Evan S. full_name: Miles, Evan S. last_name: Miles - first_name: Francesca full_name: Pelliciotti, Francesca last_name: Pelliciotti citation: ama: Shaw TE, Buri P, McCarthy M, Miles ES, Pelliciotti F. Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer. 2023. doi:10.5281/zenodo.8277284 apa: Shaw, T. E., Buri, P., McCarthy, M., Miles, E. S., & Pelliciotti, F. (2023). Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer. Zenodo. https://doi.org/10.5281/zenodo.8277284 chicago: Shaw, Thomas E., Pascal Buri, Michael McCarthy, Evan S. Miles, and Francesca Pelliciotti. “Air Temperature and Near-Surface Meteorology Datasets on Three Swiss Glaciers - Extreme 2022 Summer.” Zenodo, 2023. https://doi.org/10.5281/zenodo.8277284. ieee: T. E. Shaw, P. Buri, M. McCarthy, E. S. Miles, and F. Pelliciotti, “Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer.” Zenodo, 2023. ista: Shaw TE, Buri P, McCarthy M, Miles ES, Pelliciotti F. 2023. Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer, Zenodo, 10.5281/zenodo.8277284. mla: Shaw, Thomas E., et al. Air Temperature and Near-Surface Meteorology Datasets on Three Swiss Glaciers - Extreme 2022 Summer. Zenodo, 2023, doi:10.5281/zenodo.8277284. short: T.E. Shaw, P. Buri, M. McCarthy, E.S. Miles, F. Pelliciotti, (2023). date_created: 2026-10-02T08:58:12Z date_published: 2023-08-23T00:00:00Z date_updated: 2026-10-02T08:59:03Z day: '23' ddc: - '550' department: - _id: FrPe doi: 10.5281/zenodo.8277284 fulldoi: https://doi.org/10.5281/zenodo.8277284 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.8277284 month: '08' oa: 1 oa_version: None publisher: Zenodo related_material: record: - id: '14885' relation: used_in_publication status: public status: public title: Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer type: research_data_reference user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2023' ... --- OA_place: repository OA_type: green _id: '23031' abstract: - lang: eng text: "There are 4 tar.xz files with the result of the model for the paper: A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen, Svalbard. These archives can be unzipped on Linux using the tar command, or on other systems using a specific software.\r\n\r\nFrontPositions includes data files with the coordinates of the nodes of the front positons.\r\n\r\nCalvingStats includes txt files with some characteristics of the calving events.\r\n\r\nHydrologyOutput includes csv files with the main results of the hydrological model.\r\n\r\nModelOutput include output and visualization files of the model results. The .vtu and .pvtu files are best viewed in the software Paraview." article_processing_charge: No author: - first_name: José M full_name: Muñoz Hermosilla, José M last_name: Muñoz Hermosilla citation: ama: Muñoz Hermosilla JM. A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen. 2023. doi:10.5281/zenodo.8005257 apa: Muñoz Hermosilla, J. M. (2023). A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen. Zenodo. https://doi.org/10.5281/zenodo.8005257 chicago: Muñoz Hermosilla, José M. “A 3D Glacier Dynamics-Line Plume Model to Estimate the Frontal Ablation of Hansbreen.” Zenodo, 2023. https://doi.org/10.5281/zenodo.8005257. ieee: J. M. Muñoz Hermosilla, “A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen.” Zenodo, 2023. ista: Muñoz Hermosilla JM. 2023. A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen, Zenodo, 10.5281/zenodo.8005257. mla: Muñoz Hermosilla, José M. A 3D Glacier Dynamics-Line Plume Model to Estimate the Frontal Ablation of Hansbreen. Zenodo, 2023, doi:10.5281/zenodo.8005257. short: J.M. Muñoz Hermosilla, (2023). contributor: - contributor_type: contact_person first_name: José M last_name: Muñoz Hermosilla date_created: 2026-10-02T09:16:51Z date_published: 2023-06-05T00:00:00Z date_updated: 2026-10-02T09:16:55Z day: '05' ddc: - '550' department: - _id: FrPe doi: 10.5281/zenodo.8005257 fulldoi: https://doi.org/10.5281/zenodo.8005257 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.8005257 month: '06' oa: 1 oa_version: None publisher: Zenodo related_material: record: - id: '18628' relation: used_in_publication status: public status: public title: A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen type: research_data_reference user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2023' ... --- OA_place: repository _id: '18634' abstract: - lang: eng text: 'There are 4 tar.xz files with the result of the model for the paper: A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen, Svalbard. ' article_processing_charge: No author: - first_name: José M full_name: Muñoz Hermosilla, José M id: e1037a6d-646e-11ef-b402-e0ed9ab0901e last_name: Muñoz Hermosilla orcid: 0000-0002-1990-8508 citation: ama: Muñoz Hermosilla JM. A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen. 2023. doi:10.5281/ZENODO.8005257 apa: Muñoz Hermosilla, J. M. (2023). A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen. Zenodo. https://doi.org/10.5281/ZENODO.8005257 chicago: Muñoz Hermosilla, José M. “A 3D Glacier Dynamics-Line Plume Model to Estimate the Frontal Ablation of Hansbreen.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.8005257. ieee: J. M. Muñoz Hermosilla, “A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen.” Zenodo, 2023. ista: Muñoz Hermosilla JM. 2023. A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen, Zenodo, 10.5281/ZENODO.8005257. mla: Muñoz Hermosilla, José M. A 3D Glacier Dynamics-Line Plume Model to Estimate the Frontal Ablation of Hansbreen. Zenodo, 2023, doi:10.5281/ZENODO.8005257. short: J.M. Muñoz Hermosilla, (2023). corr_author: '1' date_created: 2024-12-09T09:33:07Z date_published: 2023-06-05T00:00:00Z date_updated: 2026-10-02T09:16:15Z day: '05' ddc: - '550' department: - _id: FrPe doi: 10.5281/ZENODO.8005257 fulldoi: https://doi.org/10.5281/ZENODO.8005257 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.8005258 month: '06' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '18628' relation: research_data status: public status: public title: A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- OA_place: repository OA_type: green _id: '23032' abstract: - lang: eng text: "Datasets in .csv or .xlsx format sorted into folders by figures. In some cases additional files with roi/well-to-sample mapping were provided.\r\n\r\nFor more details contact authors." article_processing_charge: No author: - first_name: Karen full_name: Sarkisyan, Karen last_name: Sarkisyan citation: ama: Sarkisyan K. A hybrid pathway for self-sustained luminescence - Raw data. 2023. doi:10.6084/m9.figshare.24772872 apa: Sarkisyan, K. (2023). A hybrid pathway for self-sustained luminescence - Raw data. Figshare. https://doi.org/10.6084/m9.figshare.24772872 chicago: Sarkisyan, Karen. “A Hybrid Pathway for Self-Sustained Luminescence - Raw Data.” Figshare, 2023. https://doi.org/10.6084/m9.figshare.24772872. ieee: K. Sarkisyan, “A hybrid pathway for self-sustained luminescence - Raw data.” Figshare, 2023. ista: Sarkisyan K. 2023. A hybrid pathway for self-sustained luminescence - Raw data, Figshare, 10.6084/m9.figshare.24772872. mla: Sarkisyan, Karen. A Hybrid Pathway for Self-Sustained Luminescence - Raw Data. Figshare, 2023, doi:10.6084/m9.figshare.24772872. short: K. Sarkisyan, (2023). date_created: 2026-10-02T09:22:23Z date_published: 2023-12-08T00:00:00Z date_updated: 2026-10-02T09:22:30Z day: '08' ddc: - '580' department: - _id: FyKo doi: 10.6084/m9.figshare.24772872 fulldoi: https://doi.org/10.6084/m9.figshare.24772872 main_file_link: - open_access: '1' url: https://doi.org/10.6084/m9.figshare.24772872 month: '12' oa: 1 oa_version: None publisher: Figshare related_material: record: - id: '15179' relation: used_in_publication status: public status: public title: A hybrid pathway for self-sustained luminescence - Raw data type: research_data_reference user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2023' ... --- _id: '14862' article_number: ckad160.597 article_processing_charge: No author: - first_name: Simon full_name: Rella, Simon id: B4765ACA-AA38-11E9-AC9A-0930E6697425 last_name: Rella - first_name: Y full_name: Kulikova, Y last_name: Kulikova - first_name: Aygul full_name: Minnegalieva, Aygul id: 87DF77F0-1D9A-11EA-B6AE-CE443DDC885E last_name: Minnegalieva - first_name: Fyodor full_name: Kondrashov, Fyodor id: 44FDEF62-F248-11E8-B48F-1D18A9856A87 last_name: Kondrashov orcid: 0000-0001-8243-4694 citation: ama: 'Rella S, Kulikova Y, Minnegalieva A, Kondrashov F. Complex vaccination strategies prevent the emergence of vaccine resistance. In: European Journal of Public Health. Vol 33. Oxford University Press; 2023. doi:10.1093/eurpub/ckad160.597' apa: Rella, S., Kulikova, Y., Minnegalieva, A., & Kondrashov, F. (2023). Complex vaccination strategies prevent the emergence of vaccine resistance. In European Journal of Public Health (Vol. 33). Oxford University Press. https://doi.org/10.1093/eurpub/ckad160.597 chicago: Rella, Simon, Y Kulikova, Aygul Minnegalieva, and Fyodor Kondrashov. “Complex Vaccination Strategies Prevent the Emergence of Vaccine Resistance.” In European Journal of Public Health, Vol. 33. Oxford University Press, 2023. https://doi.org/10.1093/eurpub/ckad160.597. ieee: S. Rella, Y. Kulikova, A. Minnegalieva, and F. Kondrashov, “Complex vaccination strategies prevent the emergence of vaccine resistance,” in European Journal of Public Health, 2023, vol. 33, no. Supplement_2. ista: Rella S, Kulikova Y, Minnegalieva A, Kondrashov F. 2023. Complex vaccination strategies prevent the emergence of vaccine resistance. European Journal of Public Health. vol. 33, ckad160.597. mla: Rella, Simon, et al. “Complex Vaccination Strategies Prevent the Emergence of Vaccine Resistance.” European Journal of Public Health, vol. 33, no. Supplement_2, ckad160.597, Oxford University Press, 2023, doi:10.1093/eurpub/ckad160.597. short: S. Rella, Y. Kulikova, A. Minnegalieva, F. Kondrashov, in:, European Journal of Public Health, Oxford University Press, 2023. corr_author: '1' date_created: 2024-01-22T12:02:28Z date_published: 2023-10-01T00:00:00Z date_updated: 2026-10-02T10:12:19Z day: '01' ddc: - '570' department: - _id: GaTk doi: 10.1093/eurpub/ckad160.597 file: - access_level: open_access checksum: 98706755bb4cc5d553818ade7660a7d2 content_type: application/pdf creator: dernst date_created: 2024-01-24T11:12:33Z date_updated: 2024-01-24T11:12:33Z file_id: '14882' file_name: 2023_EurJourPublicHealth_Rella.pdf file_size: 71057 relation: main_file success: 1 file_date_updated: 2024-01-24T11:12:33Z fulldoi: https://doi.org/10.1093/eurpub/ckad160.597 has_accepted_license: '1' intvolume: ' 33' issue: Supplement_2 keyword: - Public Health - Environmental and Occupational Health language: - iso: eng license: https://creativecommons.org/licenses/by-nc/4.0/ month: '10' oa: 1 oa_version: Published Version publication: European Journal of Public Health publication_identifier: eissn: - 1464-360X issn: - 1101-1262 publication_status: published publisher: Oxford University Press quality_controlled: '1' related_material: record: - id: '18307' relation: used_in_publication status: public status: public title: Complex vaccination strategies prevent the emergence of vaccine resistance tmp: image: /images/cc_by_nc.png legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) short: CC BY-NC (4.0) type: conference_abstract user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 33 year: '2023' ... --- OA_place: repository _id: '13312' abstract: - lang: eng text: "Superconductor/semiconductor hybrid devices have attracted increasing\r\ninterest in the past years. Superconducting electronics aims to complement\r\nsemiconductor technology, while hybrid architectures are at the forefront of\r\nnew ideas such as topological superconductivity and protected qubits. In this\r\nwork, we engineer the induced superconductivity in two-dimensional germanium\r\nhole gas by varying the distance between the quantum well and the aluminum. We\r\ndemonstrate a hard superconducting gap and realize an electrically and flux\r\ntunable superconducting diode using a superconducting quantum interference\r\ndevice (SQUID). This allows to tune the current phase relation (CPR), to a\r\nregime where single Cooper pair tunneling is suppressed, creating a $ \\sin\r\n\\left( 2 \\varphi \\right)$ CPR. Shapiro experiments complement this\r\ninterpretation and the microwave drive allows to create a diode with $ \\approx\r\n100 \\%$ efficiency. The reported results open up the path towards monolithic\r\nintegration of spin qubit devices, microwave resonators and (protected)\r\nsuperconducting qubits on a silicon technology compatible platform." acknowledged_ssus: - _id: M-Shop - _id: NanoFab acknowledgement: "The authors acknowledge Alexander Brinkmann, Alessandro Crippa, Andrew Higginbotham, Andrea Iorio, Giordano\r\nScappucci and Christian Schonenberger for helpful discussions. We thank Marcel Verheijen for the support in the\r\nTEM analysis. This research and related results were made\r\npossible with the support of the NOMIS Foundation. It was\r\nsupported by the Scientific Service Units of ISTA through resources provided by the MIBA Machine Shop and the\r\nnanofabrication facility, the European Union’s Horizon 2020\r\nresearch and innovation programme under Grant Agreement\r\nNo 862046, the HORIZON-RIA 101069515 project and the\r\nFWF Projects #P-32235, #P-36507 and #F-8606. R.S.S.\r\nacknowledges Spanish CM “Talento Program” Project No.\r\n2022-T1/IND-24070." article_number: '2306.07109' article_processing_charge: No arxiv: 1 author: - first_name: Marco full_name: Valentini, Marco id: C0BB2FAC-D767-11E9-B658-BC13E6697425 last_name: Valentini - first_name: Oliver full_name: Sagi, Oliver id: 71616374-A8E9-11E9-A7CA-09ECE5697425 last_name: Sagi - first_name: Levon full_name: Baghumyan, Levon last_name: Baghumyan - first_name: Thijs de full_name: Gijsel, Thijs de last_name: Gijsel - first_name: Jason full_name: Jung, Jason id: 4C9ACE7A-F248-11E8-B48F-1D18A9856A87 last_name: Jung - first_name: Stefano full_name: Calcaterra, Stefano last_name: Calcaterra - first_name: Andrea full_name: Ballabio, Andrea last_name: Ballabio - first_name: Juan Aguilera full_name: Servin, Juan Aguilera last_name: Servin - first_name: Kushagra full_name: Aggarwal, Kushagra id: b22ab905-3539-11eb-84c3-fc159dcd79cb last_name: Aggarwal orcid: 0000-0001-9985-9293 - first_name: Marian full_name: Janik, Marian id: 396A1950-F248-11E8-B48F-1D18A9856A87 last_name: Janik orcid: 0009-0003-9037-8831 - first_name: Thomas full_name: Adletzberger, Thomas id: 38756BB2-F248-11E8-B48F-1D18A9856A87 last_name: Adletzberger - first_name: Rubén Seoane full_name: Souto, Rubén Seoane last_name: Souto - first_name: Martin full_name: Leijnse, Martin last_name: Leijnse - first_name: Jeroen full_name: Danon, Jeroen last_name: Danon - first_name: Constantin full_name: Schrade, Constantin last_name: Schrade - first_name: Erik full_name: Bakkers, Erik last_name: Bakkers - first_name: Daniel full_name: Chrastina, Daniel last_name: Chrastina - first_name: Giovanni full_name: Isella, Giovanni last_name: Isella - first_name: Georgios full_name: Katsaros, Georgios id: 38DB5788-F248-11E8-B48F-1D18A9856A87 last_name: Katsaros orcid: 0000-0001-8342-202X citation: ama: Valentini M, Sagi O, Baghumyan L, et al. Radio frequency driven superconducting diode and parity conserving  Cooper pair transport in a two-dimensional germanium hole gas. arXiv. doi:10.48550/arXiv.2306.07109 apa: Valentini, M., Sagi, O., Baghumyan, L., Gijsel, T. de, Jung, J., Calcaterra, S., … Katsaros, G. (n.d.). Radio frequency driven superconducting diode and parity conserving  Cooper pair transport in a two-dimensional germanium hole gas. arXiv. https://doi.org/10.48550/arXiv.2306.07109 chicago: Valentini, Marco, Oliver Sagi, Levon Baghumyan, Thijs de Gijsel, Jason Jung, Stefano Calcaterra, Andrea Ballabio, et al. “Radio Frequency Driven Superconducting Diode and Parity Conserving  Cooper Pair Transport in a Two-Dimensional Germanium Hole Gas.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2306.07109. ieee: M. Valentini et al., “Radio frequency driven superconducting diode and parity conserving  Cooper pair transport in a two-dimensional germanium hole gas,” arXiv. . ista: Valentini M, Sagi O, Baghumyan L, Gijsel T de, Jung J, Calcaterra S, Ballabio A, Servin JA, Aggarwal K, Janik M, Adletzberger T, Souto RS, Leijnse M, Danon J, Schrade C, Bakkers E, Chrastina D, Isella G, Katsaros G. Radio frequency driven superconducting diode and parity conserving  Cooper pair transport in a two-dimensional germanium hole gas. arXiv, 2306.07109. mla: Valentini, Marco, et al. “Radio Frequency Driven Superconducting Diode and Parity Conserving  Cooper Pair Transport in a Two-Dimensional Germanium Hole Gas.” ArXiv, 2306.07109, doi:10.48550/arXiv.2306.07109. short: M. Valentini, O. Sagi, L. Baghumyan, T. de Gijsel, J. Jung, S. Calcaterra, A. Ballabio, J.A. Servin, K. Aggarwal, M. Janik, T. Adletzberger, R.S. Souto, M. Leijnse, J. Danon, C. Schrade, E. Bakkers, D. Chrastina, G. Isella, G. Katsaros, ArXiv (n.d.). corr_author: '1' date_created: 2023-07-26T11:17:20Z date_published: 2023-06-13T00:00:00Z date_updated: 2026-10-02T10:23:31Z day: '13' ddc: - '530' department: - _id: GeKa - _id: M-Shop doi: 10.48550/arXiv.2306.07109 ec_funded: 1 external_id: arxiv: - '2306.07109' fulldoi: https://doi.org/10.48550/arXiv.2306.07109 keyword: - Mesoscale and Nanoscale Physics language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2306.07109 month: '06' oa: 1 oa_version: Preprint project: - _id: 237E5020-32DE-11EA-91FC-C7463DDC885E call_identifier: H2020 grant_number: '862046' name: TOPOLOGICALLY PROTECTED AND SCALABLE QUANTUM BITS - _id: 237B3DA4-32DE-11EA-91FC-C7463DDC885E call_identifier: FWF grant_number: P32235 name: Towards scalable hut wire quantum devices - _id: bd8bd29e-d553-11ed-ba76-f0070d4b237a grant_number: P36507 name: Merging spin and superconducting qubits in planar Ge - _id: 34a66131-11ca-11ed-8bc3-a31681c6b03e grant_number: F8606 name: 'Center for Correlated Quantum Materials and Solid State Quantum Systems: Conventional and unconventional topological superconductors' - _id: eb9b30ac-77a9-11ec-83b8-871f581d53d2 name: Protected states of quantum matter publication: arXiv publication_status: draft related_material: record: - id: '13286' relation: dissertation_contains status: public - id: '14793' relation: later_version status: public status: public title: Radio frequency driven superconducting diode and parity conserving Cooper pair transport in a two-dimensional germanium hole gas tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- OA_place: repository OA_type: green _id: '23036' article_processing_charge: No author: - first_name: Marco full_name: Valentini, Marco last_name: Valentini citation: ama: Valentini M. Data repository for “Parity-conserving Cooper-pair transport and ideal superconducting diode in planar Germanium.” 2023. doi:10.5281/zenodo.10119345 apa: Valentini, M. (2023). Data repository for “Parity-conserving Cooper-pair transport and ideal superconducting diode in planar Germanium.” Zenodo. https://doi.org/10.5281/zenodo.10119345 chicago: Valentini, Marco. “Data Repository for ‘Parity-Conserving Cooper-Pair Transport and Ideal Superconducting Diode in Planar Germanium.’” Zenodo, 2023. https://doi.org/10.5281/zenodo.10119345. ieee: M. Valentini, “Data repository for ‘Parity-conserving Cooper-pair transport and ideal superconducting diode in planar Germanium.’” Zenodo, 2023. ista: Valentini M. 2023. Data repository for ‘Parity-conserving Cooper-pair transport and ideal superconducting diode in planar Germanium’, Zenodo, 10.5281/zenodo.10119345. mla: Valentini, Marco. Data Repository for “Parity-Conserving Cooper-Pair Transport and Ideal Superconducting Diode in Planar Germanium.” Zenodo, 2023, doi:10.5281/zenodo.10119345. short: M. Valentini, (2023). date_created: 2026-10-02T10:23:47Z date_published: 2023-11-13T00:00:00Z date_updated: 2026-10-02T10:23:54Z day: '13' ddc: - '530' department: - _id: GeKa doi: 10.5281/zenodo.10119345 fulldoi: https://doi.org/10.5281/zenodo.10119345 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.10119345 month: '11' oa: 1 oa_version: None publisher: Zenodo related_material: record: - id: '14793' relation: used_in_publication status: public status: public title: Data repository for 'Parity-conserving Cooper-pair transport and ideal superconducting diode in planar Germanium' type: research_data_reference user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2023' ... --- _id: '17378' abstract: - lang: eng text: Generative Pre-trained Transformer models, known as GPT or OPT, set themselves apart through breakthrough performance across complex language modelling tasks, but also by their extremely high computational and storage costs. Specifically, due to their massive size, even inference for large, highly-accurate GPT models may require multiple performant GPUs, which limits the usability of such models. While there is emerging work on relieving this pressure via model compression, the applicability and performance of existing compression techniques is limited by the scale and complexity of GPT models. In this paper, we address this challenge, and propose OPTQ, a new one-shot weight quantization method based on approximate second-order information, that is both highly-accurate and highly-efficient. Specifically, OPTQ can quantize GPT models with 175 billion parameters in approximately four GPU hours, reducing the bitwidth down to 3 or 4 bits per weight, with negligible accuracy degradation relative to the uncompressed baseline. Our method more than doubles the compression gains relative to previously-proposed one-shot quantization methods, preserving accuracy, allowing us for the first time to execute an 175 billion-parameter model inside a single GPU for generative inference. Moreover, we also show that our method can still provide reasonable accuracy in the extreme quantization regime, in which weights are quantized to 2-bit or even ternary quantization levels. We show experimentally that these improvements can be leveraged for end-to-end inference speedups over FP16, of around 3.25x when using high-end GPUs (NVIDIA A100) and 4.5x when using more cost-effective ones (NVIDIA A6000). The implementation is available at https://github.com/IST-DASLab/gptq. acknowledged_ssus: - _id: ScienComp acknowledgement: Elias Frantar and Dan Alistarh gratefully acknowledge funding from the European Research Council (ERC) under the European Union’s Horizon 2020 programme (grant agreement No. 805223 ScaleML), as well as experimental support from Eldar Kurtic, and from the IST Austria IT department, in particular Stefano Elefante, Andrei Hornoiu, and Alois Schloegl. The work of Saleh Ashkboos and Torsten Hoefler was supported by the PASC DaCeMI project, received EuroHPC-JU funding under grant MAELSTROM, No. 955513. We thank the Swiss National Supercomputing Center (CSCS) for supporting us with compute infrastructure. article_processing_charge: No author: - first_name: Elias full_name: Frantar, Elias id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f last_name: Frantar - first_name: Saleh full_name: Ashkboos, Saleh last_name: Ashkboos - first_name: Torsten full_name: Hoefler, Torsten last_name: Hoefler - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: ama: 'Frantar E, Ashkboos S, Hoefler T, Alistarh D-A. OPTQ: Accurate post-training quantization for generative pre-trained transformers. In: 11th International Conference on Learning Representations . International Conference on Learning Representations; 2023.' apa: 'Frantar, E., Ashkboos, S., Hoefler, T., & Alistarh, D.-A. (2023). OPTQ: Accurate post-training quantization for generative pre-trained transformers. In 11th International Conference on Learning Representations . Kigali, Rwanda: International Conference on Learning Representations.' chicago: 'Frantar, Elias, Saleh Ashkboos, Torsten Hoefler, and Dan-Adrian Alistarh. “OPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers.” In 11th International Conference on Learning Representations . International Conference on Learning Representations, 2023.' ieee: 'E. Frantar, S. Ashkboos, T. Hoefler, and D.-A. Alistarh, “OPTQ: Accurate post-training quantization for generative pre-trained transformers,” in 11th International Conference on Learning Representations , Kigali, Rwanda, 2023.' ista: 'Frantar E, Ashkboos S, Hoefler T, Alistarh D-A. 2023. OPTQ: Accurate post-training quantization for generative pre-trained transformers. 11th International Conference on Learning Representations . ICLR: International Conference on Learning Representations.' mla: 'Frantar, Elias, et al. “OPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers.” 11th International Conference on Learning Representations , International Conference on Learning Representations, 2023.' short: E. Frantar, S. Ashkboos, T. Hoefler, D.-A. Alistarh, in:, 11th International Conference on Learning Representations , International Conference on Learning Representations, 2023. conference: end_date: 2023-05-05 location: Kigali, Rwanda name: 'ICLR: International Conference on Learning Representations' start_date: 2023-05-01 corr_author: '1' date_created: 2024-08-04T22:01:22Z date_published: 2023-05-01T00:00:00Z date_updated: 2026-10-02T11:19:46Z day: '01' ddc: - '000' department: - _id: DaAl ec_funded: 1 file: - access_level: open_access checksum: aacbf11dbd8b02a3e0bfd942a33e0593 content_type: application/pdf creator: dernst date_created: 2024-08-05T07:52:44Z date_updated: 2024-08-05T07:52:44Z file_id: '17385' file_name: 2023_ICLR_Frantar.pdf file_size: 437492 relation: main_file success: 1 file_date_updated: 2024-08-05T07:52:44Z has_accepted_license: '1' language: - iso: eng month: '05' oa: 1 oa_version: Published Version project: - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning publication: '11th International Conference on Learning Representations ' publication_status: published publisher: International Conference on Learning Representations quality_controlled: '1' related_material: link: - relation: software url: https://github.com/IST-DASLab/gptq record: - id: '17485' relation: dissertation_contains status: public scopus_import: '1' status: public title: 'OPTQ: Accurate post-training quantization for generative pre-trained transformers' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- _id: '14458' abstract: - lang: eng text: 'We show for the first time that large-scale generative pretrained transformer (GPT) family models can be pruned to at least 50% sparsity in one-shot, without any retraining, at minimal loss of accuracy. This is achieved via a new pruning method called SparseGPT, specifically designed to work efficiently and accurately on massive GPT-family models. We can execute SparseGPT on the largest available open-source models, OPT-175B and BLOOM-176B, in under 4.5 hours, and can reach 60% unstructured sparsity with negligible increase in perplexity: remarkably, more than 100 billion weights from these models can be ignored at inference time. SparseGPT generalizes to semi-structured (2:4 and 4:8) patterns, and is compatible with weight quantization approaches. The code is available at: https://github.com/IST-DASLab/sparsegpt.' acknowledged_ssus: - _id: ScienComp acknowledgement: The authors gratefully acknowledge funding from the European Research Council (ERC) under the European Union’s Horizon 2020 programme (grant agreement No. 805223 ScaleML), as well as experimental support from Eldar Kurtic, and from the IST Austria IT department, in particular Stefano Elefante, Andrei Hornoiu, and Alois Schloegl. alternative_title: - PMLR article_processing_charge: No arxiv: 1 author: - first_name: Elias full_name: Frantar, Elias id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f last_name: Frantar - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: ama: 'Frantar E, Alistarh D-A. SparseGPT: Massive language models can be accurately pruned in one-shot. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:10323-10337.' apa: 'Frantar, E., & Alistarh, D.-A. (2023). SparseGPT: Massive language models can be accurately pruned in one-shot. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 10323–10337). Honolulu, Hawaii, HI, United States: ML Research Press.' chicago: 'Frantar, Elias, and Dan-Adrian Alistarh. “SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.” In Proceedings of the 40th International Conference on Machine Learning, 202:10323–37. ML Research Press, 2023.' ieee: 'E. Frantar and D.-A. Alistarh, “SparseGPT: Massive language models can be accurately pruned in one-shot,” in Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, HI, United States, 2023, vol. 202, pp. 10323–10337.' ista: 'Frantar E, Alistarh D-A. 2023. SparseGPT: Massive language models can be accurately pruned in one-shot. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 10323–10337.' mla: 'Frantar, Elias, and Dan-Adrian Alistarh. “SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 10323–37.' short: E. Frantar, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 10323–10337. conference: end_date: 2023-07-29 location: Honolulu, Hawaii, HI, United States name: 'ICML: International Conference on Machine Learning' start_date: 2023-07-23 corr_author: '1' date_created: 2023-10-29T23:01:16Z date_published: 2023-07-30T00:00:00Z date_updated: 2026-10-02T11:19:46Z day: '30' department: - _id: DaAl ec_funded: 1 external_id: arxiv: - '2301.00774' intvolume: ' 202' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2301.00774 month: '07' oa: 1 oa_version: Preprint page: 10323-10337 project: - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning publication: Proceedings of the 40th International Conference on Machine Learning publication_identifier: eissn: - 2640-3498 publication_status: published publisher: ML Research Press quality_controlled: '1' related_material: record: - id: '17485' relation: dissertation_contains status: public scopus_import: '1' status: public title: 'SparseGPT: Massive language models can be accurately pruned in one-shot' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2023' ... --- _id: '14461' abstract: - lang: eng text: 'Communication-reduction techniques are a popular way to improve scalability in data-parallel training of deep neural networks (DNNs). The recent emergence of large language models such as GPT has created the need for new approaches to exploit data-parallelism. Among these, fully-sharded data parallel (FSDP) training is highly popular, yet it still encounters scalability bottlenecks. One reason is that applying compression techniques to FSDP is challenging: as the vast majority of the communication involves the model’s weights, direct compression alters convergence and leads to accuracy loss. We present QSDP, a variant of FSDP which supports both gradient and weight quantization with theoretical guarantees, is simple to implement and has essentially no overheads. To derive QSDP we prove that a natural modification of SGD achieves convergence even when we only maintain quantized weights, and thus the domain over which we train consists of quantized points and is, therefore, highly non-convex. We validate this approach by training GPT-family models with up to 1.3 billion parameters on a multi-node cluster. Experiments show that QSDP preserves model accuracy, while completely removing the communication bottlenecks of FSDP, providing end-to-end speedups of up to 2.2x.' acknowledged_ssus: - _id: ScienComp acknowledgement: The authors gratefully acknowledge funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML), as well as experimental support from the IST Austria IT department, in particular Stefano Elefante, Andrei Hornoiu, and Alois Schloegl. AV acknowledges the support of the French Agence Nationale de la Recherche (ANR), under grant ANR-21-CE48-0016 (project COMCOPT), the support of Fondation Hadamard with a PRMO grant, and the support of CNRS with a CoopIntEER IEA grant (project ALFRED). alternative_title: - PMLR article_processing_charge: No arxiv: 1 author: - first_name: Ilia full_name: Markov, Ilia id: D0CF4148-C985-11E9-8066-0BDEE5697425 last_name: Markov - first_name: Adrian full_name: Vladu, Adrian last_name: Vladu - first_name: Qi full_name: Guo, Qi last_name: Guo - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: ama: 'Markov I, Vladu A, Guo Q, Alistarh D-A. Quantized distributed training of large models with convergence guarantees. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:24020-24044.' apa: 'Markov, I., Vladu, A., Guo, Q., & Alistarh, D.-A. (2023). Quantized distributed training of large models with convergence guarantees. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 24020–24044). Honolulu, Hawaii, HI, United States: ML Research Press.' chicago: Markov, Ilia, Adrian Vladu, Qi Guo, and Dan-Adrian Alistarh. “Quantized Distributed Training of Large Models with Convergence Guarantees.” In Proceedings of the 40th International Conference on Machine Learning, 202:24020–44. ML Research Press, 2023. ieee: I. Markov, A. Vladu, Q. Guo, and D.-A. Alistarh, “Quantized distributed training of large models with convergence guarantees,” in Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, HI, United States, 2023, vol. 202, pp. 24020–24044. ista: 'Markov I, Vladu A, Guo Q, Alistarh D-A. 2023. Quantized distributed training of large models with convergence guarantees. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 24020–24044.' mla: Markov, Ilia, et al. “Quantized Distributed Training of Large Models with Convergence Guarantees.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 24020–44. short: I. Markov, A. Vladu, Q. Guo, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 24020–24044. conference: end_date: 2023-07-29 location: Honolulu, Hawaii, HI, United States name: 'ICML: International Conference on Machine Learning' start_date: 2023-07-23 corr_author: '1' date_created: 2023-10-29T23:01:17Z date_published: 2023-07-30T00:00:00Z date_updated: 2026-10-02T11:20:05Z day: '30' department: - _id: DaAl ec_funded: 1 external_id: arxiv: - '2302.02390' intvolume: ' 202' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2302.02390 month: '07' oa: 1 oa_version: Preprint page: 24020-24044 project: - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning publication: Proceedings of the 40th International Conference on Machine Learning publication_identifier: eissn: - 2640-3498 publication_status: published publisher: ML Research Press quality_controlled: '1' related_material: record: - id: '17490' relation: dissertation_contains status: public scopus_import: '1' status: public title: Quantized distributed training of large models with convergence guarantees type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2023' ... --- _id: '12334' abstract: - lang: eng text: Regulation of the Arp2/3 complex is required for productive nucleation of branched actin networks. An emerging aspect of regulation is the incorporation of subunit isoforms into the Arp2/3 complex. Specifically, both ArpC5 subunit isoforms, ArpC5 and ArpC5L, have been reported to fine-tune nucleation activity and branch junction stability. We have combined reverse genetics and cellular structural biology to describe how ArpC5 and ArpC5L differentially affect cell migration. Both define the structural stability of ArpC1 in branch junctions and, in turn, by determining protrusion characteristics, affect protein dynamics and actin network ultrastructure. ArpC5 isoforms also affect the positioning of members of the Ena/Vasodilator-stimulated phosphoprotein (VASP) family of actin filament elongators, which mediate ArpC5 isoform–specific effects on the actin assembly level. Our results suggest that ArpC5 and Ena/VASP proteins are part of a signaling pathway enhancing cell migration. acknowledged_ssus: - _id: ScienComp - _id: LifeSc - _id: Bio - _id: EM-Fac acknowledgement: "We would like to thank K. von Peinen and B. Denker (Helmholtz Centre for Infection Research, Braunschweig, Germany) for experimental and technical assistance, respectively.\r\nThis research was supported by the Scientific Service Units (SSUs) of ISTA through resources provided by Scientific Computing (SciComp), the Life Science Facility (LSF), the Imaging and Optics facility (IOF), and the Electron Microscopy Facility (EMF). We acknowledge support from ISTA and from the Austrian Science Fund (FWF) (P33367) to F.K.M.S., from the Research Training Group GRK2223 and the Helmholtz Society to K.R,. and from the Deutsche Forschungsgemeinschaft (DFG) to J.F. and K.R." article_number: add6495 article_processing_charge: No article_type: original author: - first_name: Florian full_name: Fäßler, Florian id: 404F5528-F248-11E8-B48F-1D18A9856A87 last_name: Fäßler orcid: 0000-0001-7149-769X - first_name: Manjunath full_name: Javoor, Manjunath id: 305ab18b-dc7d-11ea-9b2f-b58195228ea2 last_name: Javoor orcid: 0000-0003-2311-2112 - first_name: Julia full_name: Datler, Julia id: 3B12E2E6-F248-11E8-B48F-1D18A9856A87 last_name: Datler orcid: 0000-0002-3616-8580 - first_name: Hermann full_name: Döring, Hermann last_name: Döring - first_name: Florian full_name: Hofer, Florian id: b9d234ba-9e33-11ed-95b6-cd561df280e6 last_name: Hofer - first_name: Georgi A full_name: Dimchev, Georgi A id: 38C393BE-F248-11E8-B48F-1D18A9856A87 last_name: Dimchev orcid: 0000-0001-8370-6161 - first_name: Victor-Valentin full_name: Hodirnau, Victor-Valentin id: 3661B498-F248-11E8-B48F-1D18A9856A87 last_name: Hodirnau orcid: 0000-0003-3904-947X - first_name: Jan full_name: Faix, Jan last_name: Faix - first_name: Klemens full_name: Rottner, Klemens last_name: Rottner - first_name: Florian KM full_name: Schur, Florian KM id: 48AD8942-F248-11E8-B48F-1D18A9856A87 last_name: Schur orcid: 0000-0003-4790-8078 citation: ama: Fäßler F, Javoor M, Datler J, et al. ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning. Science Advances. 2023;9(3). doi:10.1126/sciadv.add6495 apa: Fäßler, F., Javoor, M., Datler, J., Döring, H., Hofer, F., Dimchev, G. A., … Schur, F. K. (2023). ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning. Science Advances. American Association for the Advancement of Science. https://doi.org/10.1126/sciadv.add6495 chicago: Fäßler, Florian, Manjunath Javoor, Julia Datler, Hermann Döring, Florian Hofer, Georgi A Dimchev, Victor-Valentin Hodirnau, Jan Faix, Klemens Rottner, and Florian KM Schur. “ArpC5 Isoforms Regulate Arp2/3 Complex–Dependent Protrusion through Differential Ena/VASP Positioning.” Science Advances. American Association for the Advancement of Science, 2023. https://doi.org/10.1126/sciadv.add6495. ieee: F. Fäßler et al., “ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning,” Science Advances, vol. 9, no. 3. American Association for the Advancement of Science, 2023. ista: Fäßler F, Javoor M, Datler J, Döring H, Hofer F, Dimchev GA, Hodirnau V-V, Faix J, Rottner K, Schur FK. 2023. ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning. Science Advances. 9(3), add6495. mla: Fäßler, Florian, et al. “ArpC5 Isoforms Regulate Arp2/3 Complex–Dependent Protrusion through Differential Ena/VASP Positioning.” Science Advances, vol. 9, no. 3, add6495, American Association for the Advancement of Science, 2023, doi:10.1126/sciadv.add6495. short: F. Fäßler, M. Javoor, J. Datler, H. Döring, F. Hofer, G.A. Dimchev, V.-V. Hodirnau, J. Faix, K. Rottner, F.K. Schur, Science Advances 9 (2023). corr_author: '1' date_created: 2023-01-23T07:26:42Z date_published: 2023-01-20T00:00:00Z date_updated: 2026-10-02T11:21:19Z day: '20' ddc: - '570' department: - _id: FlSc - _id: EM-Fac doi: 10.1126/sciadv.add6495 external_id: isi: - '000964550100015' pmid: - '36662867' file: - access_level: open_access checksum: ce81a6d0b84170e5e8c62f6acfa15d9e content_type: application/pdf creator: dernst date_created: 2023-01-23T07:45:54Z date_updated: 2023-01-23T07:45:54Z file_id: '12335' file_name: 2023_ScienceAdvances_Faessler.pdf file_size: 1756234 relation: main_file success: 1 file_date_updated: 2023-01-23T07:45:54Z fulldoi: https://doi.org/10.1126/sciadv.add6495 has_accepted_license: '1' intvolume: ' 9' isi: 1 issue: '3' keyword: - Multidisciplinary language: - iso: eng month: '01' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 9B954C5C-BA93-11EA-9121-9846C619BF3A grant_number: P33367 name: Structure and isoform diversity of the Arp2/3 complex publication: Science Advances publication_identifier: issn: - 2375-2548 publication_status: published publisher: American Association for the Advancement of Science quality_controlled: '1' related_material: record: - id: '14562' relation: research_data status: public - id: '22744' relation: dissertation_contains status: public - id: '18766' relation: dissertation_contains status: public scopus_import: '1' status: public title: ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 9 year: '2023' ... --- OA_place: repository _id: '17351' abstract: - lang: eng text: "Contractive coupling rates have been recently introduced by Conforti as a\r\ntool to establish convex Sobolev inequalities (including modified log-Sobolev\r\nand Poincar\\'{e} inequality) for some classes of Markov chains. In this work,\r\nwe show how contractive coupling rates can also be used to prove stronger\r\ninequalities, in the form of curvature lower bounds for Markov chains and\r\ngeodesic convexity of entropic functionals. We illustrate this in several\r\nexamples discussed by Conforti, where in particular, after appropriately\r\nchoosing a parameter function, we establish positive curvature in the entropic\r\nand (discrete) Bakry--\\'{E}mery sense. In addition, we recall and give\r\nstraightforward generalizations of some notions of coarse Ricci curvature, and\r\nwe discuss some of their properties and relations with the concepts of\r\ncouplings and coupling rates: as an application, we show exponential\r\ncontraction of the $p$-Wasserstein distance for the heat flow in the\r\naforementioned examples." article_number: '2308.00516' article_processing_charge: No arxiv: 1 author: - first_name: Francesco full_name: Pedrotti, Francesco id: d3ac8ac6-dc8d-11ea-abe3-e2a9628c4c3c last_name: Pedrotti citation: ama: Pedrotti F. Contractive coupling rates and curvature lower bounds for Markov chains. arXiv. doi:10.48550/arXiv.2308.00516 apa: Pedrotti, F. (n.d.). Contractive coupling rates and curvature lower bounds for Markov chains. arXiv. https://doi.org/10.48550/arXiv.2308.00516 chicago: Pedrotti, Francesco. “Contractive Coupling Rates and Curvature Lower Bounds for Markov Chains.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2308.00516. ieee: F. Pedrotti, “Contractive coupling rates and curvature lower bounds for Markov chains,” arXiv. . ista: Pedrotti F. Contractive coupling rates and curvature lower bounds for Markov chains. arXiv, 2308.00516. mla: Pedrotti, Francesco. “Contractive Coupling Rates and Curvature Lower Bounds for Markov Chains.” ArXiv, 2308.00516, doi:10.48550/arXiv.2308.00516. short: F. Pedrotti, ArXiv (n.d.). corr_author: '1' date_created: 2024-07-31T08:02:16Z date_published: 2023-08-02T00:00:00Z date_updated: 2026-10-02T11:25:17Z day: '02' department: - _id: JaMa doi: 10.48550/arXiv.2308.00516 external_id: arxiv: - '2308.00516' fulldoi: https://doi.org/10.48550/arXiv.2308.00516 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2308.00516 month: '08' oa: 1 oa_version: Preprint publication: arXiv publication_status: draft related_material: record: - id: '20040' relation: later_version status: public - id: '17336' relation: dissertation_contains status: public status: public title: Contractive coupling rates and curvature lower bounds for Markov chains type: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2023' ... --- OA_place: publisher OA_type: hybrid _id: '13267' abstract: - lang: eng text: Three-dimensional (3D) reconstruction of living brain tissue down to an individual synapse level would create opportunities for decoding the dynamics and structure–function relationships of the brain’s complex and dense information processing network; however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise ratio and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine-learning technology, LIONESS (live information-optimized nanoscopy enabling saturated segmentation). This leverages optical modifications to stimulated emission depletion microscopy in comprehensively, extracellularly labeled tissue and previous information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise ratio and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D reconstruction at a synapse level, incorporating molecular, activity and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue. acknowledged_ssus: - _id: ScienComp - _id: Bio - _id: PreCl - _id: E-Lib - _id: LifeSc - _id: M-Shop acknowledgement: "We thank J. Vorlaufer, N. Agudelo and A. Wartak for microscope maintenance and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, M. Šuplata for hardware control support and M. Cunha dos Santos for initial exploration of software. We\r\nthank P. Henderson for advice on deep-learning training and M. Sixt, S. Boyd and T. Weiss for discussions and critical reading of the manuscript. L. Lavis (Janelia Research Campus) generously provided the JF585-HaloTag ligand. We acknowledge expert support by IST\r\nAustria’s scientific computing, imaging and optics, preclinical, library and laboratory support facilities and by the Miba machine shop. We gratefully acknowledge funding by the following sources: Austrian Science Fund (F.W.F.) grant no. I3600-B27 (J.G.D.), grant no. DK W1232\r\n(J.G.D. and J.M.M.) and grant no. Z 312-B27, Wittgenstein award (P.J.); the Gesellschaft für Forschungsförderung NÖ grant no. LSC18-022 (J.G.D.); an ISTA Interdisciplinary project grant (J.G.D. and B.B.); the European Union’s Horizon 2020 research and innovation programme,\r\nMarie-Skłodowska Curie grant 665385 (J.M.M. and J.L.); the European Union’s Horizon 2020 research and innovation programme, European Research Council grant no. 715767, MATERIALIZABLE (B.B.); grant no. 715508, REVERSEAUTISM (G.N.); grant no. 695568, SYNNOVATE (S.G.N.G.); and grant no. 692692, GIANTSYN (P.J.); the Simons\r\nFoundation Autism Research Initiative grant no. 529085 (S.G.N.G.); the Wellcome Trust Technology Development grant no. 202932 (S.G.N.G.); the Marie Skłodowska-Curie Actions Individual Fellowship no. 101026635 under the EU Horizon 2020 program (J.F.W.);\r\nthe Human Frontier Science Program postdoctoral fellowship LT000557/2018 (W.J.); and the National Science Foundation grant no. IIS-1835231 (H.P.) and NCS-FO-2124179 (H.P.)." article_processing_charge: Yes (in subscription journal) article_type: original author: - first_name: Philipp full_name: Velicky, Philipp id: 39BDC62C-F248-11E8-B48F-1D18A9856A87 last_name: Velicky orcid: 0000-0002-2340-7431 - first_name: Eder full_name: Miguel Villalba, Eder id: 3FB91342-F248-11E8-B48F-1D18A9856A87 last_name: Miguel Villalba orcid: 0000-0001-5665-0430 - first_name: Julia M full_name: Michalska, Julia M id: 443DB6DE-F248-11E8-B48F-1D18A9856A87 last_name: Michalska orcid: 0000-0003-3862-1235 - first_name: Julia full_name: Lyudchik, Julia id: 46E28B80-F248-11E8-B48F-1D18A9856A87 last_name: Lyudchik - first_name: Donglai full_name: Wei, Donglai last_name: Wei - first_name: Zudi full_name: Lin, Zudi last_name: Lin - first_name: Jake full_name: Watson, Jake id: 63836096-4690-11EA-BD4E-32803DDC885E last_name: Watson orcid: 0000-0002-8698-3823 - first_name: Jakob full_name: Troidl, Jakob last_name: Troidl - first_name: Johanna full_name: Beyer, Johanna last_name: Beyer - first_name: Yoav full_name: Ben Simon, Yoav id: 43DF3136-F248-11E8-B48F-1D18A9856A87 last_name: Ben Simon - first_name: Christoph M full_name: Sommer, Christoph M id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87 last_name: Sommer orcid: 0000-0003-1216-9105 - first_name: Wiebke full_name: Jahr, Wiebke id: 425C1CE8-F248-11E8-B48F-1D18A9856A87 last_name: Jahr orcid: 0000-0003-0201-2315 - first_name: Alban full_name: Cenameri, Alban id: 9ac8f577-2357-11eb-997a-e566c5550886 last_name: Cenameri - first_name: Johannes full_name: Broichhagen, Johannes last_name: Broichhagen - first_name: Seth G.N. full_name: Grant, Seth G.N. last_name: Grant - first_name: Peter M full_name: Jonas, Peter M id: 353C1B58-F248-11E8-B48F-1D18A9856A87 last_name: Jonas orcid: 0000-0001-5001-4804 - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Hanspeter full_name: Pfister, Hanspeter last_name: Pfister - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 - first_name: Johann G full_name: Danzl, Johann G id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87 last_name: Danzl orcid: 0000-0001-8559-3973 citation: ama: Velicky P, Miguel Villalba E, Michalska JM, et al. Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 2023;20:1256-1265. doi:10.1038/s41592-023-01936-6 apa: Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D., Lin, Z., … Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-023-01936-6 chicago: Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Julia Lyudchik, Donglai Wei, Zudi Lin, Jake Watson, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” Nature Methods. Springer Nature, 2023. https://doi.org/10.1038/s41592-023-01936-6. ieee: P. Velicky et al., “Dense 4D nanoscale reconstruction of living brain tissue,” Nature Methods, vol. 20. Springer Nature, pp. 1256–1265, 2023. ista: Velicky P, Miguel Villalba E, Michalska JM, Lyudchik J, Wei D, Lin Z, Watson J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. 2023. Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 20, 1256–1265. mla: Velicky, Philipp, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” Nature Methods, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:10.1038/s41592-023-01936-6. short: P. Velicky, E. Miguel Villalba, J.M. Michalska, J. Lyudchik, D. Wei, Z. Lin, J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri, J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel, J.G. Danzl, Nature Methods 20 (2023) 1256–1265. corr_author: '1' date_created: 2023-07-23T22:01:13Z date_published: 2023-08-01T00:00:00Z date_updated: 2026-10-02T11:27:12Z day: '01' ddc: - '570' department: - _id: PeJo - _id: GaNo - _id: BeBi - _id: JoDa - _id: Bio doi: 10.1038/s41592-023-01936-6 ec_funded: 1 external_id: isi: - '001025621500001' pmid: - '37429995' file: - access_level: open_access checksum: a68e845780a82ea36d0d4d3212a87c10 content_type: application/pdf creator: dernst date_created: 2025-02-26T08:01:57Z date_updated: 2025-02-26T08:01:57Z file_id: '19088' file_name: 2023_NatureMethods_Velicky.pdf file_size: 14103039 relation: main_file success: 1 file_date_updated: 2025-02-26T08:01:57Z fulldoi: https://doi.org/10.1038/s41592-023-01936-6 has_accepted_license: '1' intvolume: ' 20' isi: 1 language: - iso: eng month: '08' oa: 1 oa_version: Published Version page: 1256-1265 pmid: 1 project: - _id: 265CB4D0-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: I03600 name: Optical control of synaptic function via adhesion molecules - _id: 2548AE96-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: W1232 name: Molecular Drug Targets - _id: 25C5A090-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00312 name: Synaptic communication in neuronal microcircuits - _id: 23889792-32DE-11EA-91FC-C7463DDC885E grant_number: LS18-022 name: High content imaging to decode human immune cell interactions in health and allergic disease - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: 24F9549A-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715767' name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling' - _id: 25444568-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715508' name: Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models - _id: 25B7EB9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '692692' name: Biophysics and circuit function of a giant cortical glutamatergic synapse - _id: fc2be41b-9c52-11eb-aca3-faa90aa144e9 call_identifier: H2020 grant_number: '101026635' name: Synaptic computations of the hippocampal CA3 circuitry - _id: 2668BFA0-B435-11E9-9278-68D0E5697425 grant_number: LT00057 name: High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration publication: Nature Methods publication_identifier: eissn: - 1548-7105 issn: - 1548-7091 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: link: - relation: software url: https://github.com/danzllab/LIONESS record: - id: '12817' relation: research_data status: public - id: '14770' relation: shorter_version status: public - id: '11943' relation: earlier_version status: public - id: '18674' relation: dissertation_contains status: public scopus_import: '1' status: public title: Dense 4D nanoscale reconstruction of living brain tissue tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 20 year: '2023' ... --- _id: '13227' abstract: - lang: eng text: Currently available quantum processors are dominated by noise, which severely limits their applicability and motivates the search for new physical qubit encodings. In this work, we introduce the inductively shunted transmon, a weakly flux-tunable superconducting qubit that offers charge offset protection for all levels and a 20-fold reduction in flux dispersion compared to the state-of-the-art resulting in a constant coherence over a full flux quantum. The parabolic confinement provided by the inductive shunt as well as the linearity of the geometric superinductor facilitates a high-power readout that resolves quantum jumps with a fidelity and QND-ness of >90% and without the need for a Josephson parametric amplifier. Moreover, the device reveals quantum tunneling physics between the two prepared fluxon ground states with a measured average decay time of up to 3.5 h. In the future, fast time-domain control of the transition matrix elements could offer a new path forward to also achieve full qubit control in the decay-protected fluxon basis. acknowledged_ssus: - _id: M-Shop - _id: NanoFab acknowledgement: The authors thank J. Koch for discussions and support with the scQubits python package, I. Rozhansky and A. Poddubny for important insights into photon-assisted tunneling, S. Barzanjeh and G. Arnold for theory, E. Redchenko, S. Pepic, the MIBA workshop and the IST nanofabrication facility for technical contributions, as well as L. Drmic, P. Zielinski and R. Sett for software development. We acknowledge the prompt support of Quantum Machines to implement active state preparation with their OPX+. This work was supported by a NOMIS foundation research grant (J.F.), the Austrian Science Fund (FWF) through BeyondC F7105 (J.F.) and IST Austria. article_number: '3968' article_processing_charge: No article_type: original author: - first_name: Farid full_name: Hassani, Farid id: 2AED110C-F248-11E8-B48F-1D18A9856A87 last_name: Hassani orcid: 0000-0001-6937-5773 - first_name: Matilda full_name: Peruzzo, Matilda id: 3F920B30-F248-11E8-B48F-1D18A9856A87 last_name: Peruzzo orcid: 0000-0002-3415-4628 - first_name: Lucky full_name: Kapoor, Lucky id: 84b9700b-15b2-11ec-abd3-831089e67615 last_name: Kapoor orcid: 0000-0001-8319-2148 - first_name: Andrea full_name: Trioni, Andrea id: 42F71B44-F248-11E8-B48F-1D18A9856A87 last_name: Trioni - first_name: Martin full_name: Zemlicka, Martin id: 2DCF8DE6-F248-11E8-B48F-1D18A9856A87 last_name: Zemlicka orcid: 0009-0005-0878-3032 - first_name: Johannes M full_name: Fink, Johannes M id: 4B591CBA-F248-11E8-B48F-1D18A9856A87 last_name: Fink orcid: 0000-0001-8112-028X citation: ama: Hassani F, Peruzzo M, Kapoor L, Trioni A, Zemlicka M, Fink JM. Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours. Nature Communications. 2023;14. doi:10.1038/s41467-023-39656-2 apa: Hassani, F., Peruzzo, M., Kapoor, L., Trioni, A., Zemlicka, M., & Fink, J. M. (2023). Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-023-39656-2 chicago: Hassani, Farid, Matilda Peruzzo, Lucky Kapoor, Andrea Trioni, Martin Zemlicka, and Johannes M Fink. “Inductively Shunted Transmons Exhibit Noise Insensitive Plasmon States and a Fluxon Decay Exceeding 3 Hours.” Nature Communications. Springer Nature, 2023. https://doi.org/10.1038/s41467-023-39656-2. ieee: F. Hassani, M. Peruzzo, L. Kapoor, A. Trioni, M. Zemlicka, and J. M. Fink, “Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours,” Nature Communications, vol. 14. Springer Nature, 2023. ista: Hassani F, Peruzzo M, Kapoor L, Trioni A, Zemlicka M, Fink JM. 2023. Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours. Nature Communications. 14, 3968. mla: Hassani, Farid, et al. “Inductively Shunted Transmons Exhibit Noise Insensitive Plasmon States and a Fluxon Decay Exceeding 3 Hours.” Nature Communications, vol. 14, 3968, Springer Nature, 2023, doi:10.1038/s41467-023-39656-2. short: F. Hassani, M. Peruzzo, L. Kapoor, A. Trioni, M. Zemlicka, J.M. Fink, Nature Communications 14 (2023). corr_author: '1' date_created: 2023-07-16T22:01:08Z date_published: 2023-07-05T00:00:00Z date_updated: 2026-10-02T11:28:16Z day: '05' ddc: - '530' department: - _id: JoFi doi: 10.1038/s41467-023-39656-2 external_id: isi: - '001024729900009' pmid: - '37407570' file: - access_level: open_access checksum: a85773b5fe23516f60f7d5d31b55c200 content_type: application/pdf creator: dernst date_created: 2023-07-18T08:43:07Z date_updated: 2023-07-18T08:43:07Z file_id: '13248' file_name: 2023_NatureComm_Hassani.pdf file_size: 2899592 relation: main_file success: 1 file_date_updated: 2023-07-18T08:43:07Z fulldoi: https://doi.org/10.1038/s41467-023-39656-2 has_accepted_license: '1' intvolume: ' 14' isi: 1 language: - iso: eng month: '07' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 2622978C-B435-11E9-9278-68D0E5697425 name: Hybrid Semiconductor - Superconductor Quantum Devices - _id: bdb108fd-d553-11ed-ba76-83dc74a9864f grant_number: F07105 name: QUANTUM INFORMATION SYSTEMS BEYOND CLASSICAL CAPABILITIES / P5- Integration of Superconducting Quantum Circuits publication: Nature Communications publication_identifier: eissn: - 2041-1723 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '17133' relation: dissertation_contains status: public scopus_import: '1' status: public title: Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 14 year: '2023' ... --- OA_place: repository _id: '17174' abstract: - lang: eng text: We prove that a class of weakly perturbed Hamiltonians of the form $H_λ= H_0 + λW$, with $W$ being a Wigner matrix, exhibits prethermalization. That is, the time evolution generated by $H_λ$ relaxes to its ultimate thermal state via an intermediate prethermal state with a lifetime of order $λ^{-2}$. Moreover, we obtain a general relaxation formula, expressing the perturbed dynamics via the unperturbed dynamics and the ultimate thermal state. The proof relies on a two-resolvent law for the deformed Wigner matrix $H_λ$. article_number: '2310.06677' article_processing_charge: No arxiv: 1 author: - first_name: László full_name: Erdös, László id: 4DBD5372-F248-11E8-B48F-1D18A9856A87 last_name: Erdös orcid: 0000-0001-5366-9603 - first_name: Sven Joscha full_name: Henheik, Sven Joscha id: 31d731d7-d235-11ea-ad11-b50331c8d7fb last_name: Henheik orcid: 0000-0003-1106-327X - first_name: Jana full_name: Reker, Jana id: e796e4f9-dc8d-11ea-abe3-97e26a0323e9 last_name: Reker - first_name: Volodymyr full_name: Riabov, Volodymyr id: 1949f904-edfb-11eb-afb5-e2dfddabb93b last_name: Riabov citation: ama: Erdös L, Henheik SJ, Reker J, Riabov V. Prethermalization for deformed Wigner Matrices. arXiv. doi:10.48550/arXiv.2310.06677 apa: Erdös, L., Henheik, S. J., Reker, J., & Riabov, V. (n.d.). Prethermalization for deformed Wigner Matrices. arXiv. https://doi.org/10.48550/arXiv.2310.06677 chicago: Erdös, László, Sven Joscha Henheik, Jana Reker, and Volodymyr Riabov. “Prethermalization for Deformed Wigner Matrices.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2310.06677. ieee: L. Erdös, S. J. Henheik, J. Reker, and V. Riabov, “Prethermalization for deformed Wigner Matrices,” arXiv. . ista: Erdös L, Henheik SJ, Reker J, Riabov V. Prethermalization for deformed Wigner Matrices. arXiv, 2310.06677. mla: Erdös, László, et al. “Prethermalization for Deformed Wigner Matrices.” ArXiv, 2310.06677, doi:10.48550/arXiv.2310.06677. short: L. Erdös, S.J. Henheik, J. Reker, V. Riabov, ArXiv (n.d.). corr_author: '1' date_created: 2024-06-26T08:56:52Z date_published: 2023-12-23T00:00:00Z date_updated: 2026-10-02T11:31:29Z day: '23' department: - _id: LaEr doi: 10.48550/arXiv.2310.06677 ec_funded: 1 external_id: arxiv: - '2310.06677' fulldoi: https://doi.org/10.48550/arXiv.2310.06677 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2310.06677 month: '12' oa: 1 oa_version: Preprint project: - _id: 62796744-2b32-11ec-9570-940b20777f1d call_identifier: H2020 grant_number: '101020331' name: Random matrices beyond Wigner-Dyson-Mehta publication: arXiv publication_status: draft related_material: record: - id: '18764' relation: later_version status: public - id: '20575' relation: dissertation_contains status: public - id: '17164' relation: dissertation_contains status: public status: public title: Prethermalization for deformed Wigner Matrices type: preprint user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2023' ...