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检索条件"机构=Program in Applied and Computational Mathematics and The Department of Electrical Engineering"
812 条 记 录,以下是381-390 订阅
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Deep neural network for Wannier function centers
arXiv
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arXiv 2019年
作者: Zhang, Linfeng Chen, Mohan Wu, Xifan Wang, Han Weinan, E. Car, Roberto Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States CAPT HEDPS College of Engineering Peking University Beijing100871 China Department of Physics Temple University PhiladelphiaPA19122 United States Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Huayuan Road 6 Beijing100088 China Department of Mathematics and Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Beijing Institute of Big Data Research Beijing100871 China Department of Chemistry Department of Physics Program in Applied and Computational Mathematics Princeton Institute for the Science and Technology of Materials Princeton University PrincetonNJ08544 United States
We introduce a deep neural network (DNN) model that assigns the position of the centers of the electronic charge in the snapshots of a molecular dynamics trajectory. The electronic centers are uniquely specified by th... 详细信息
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Type-II Dirac cones and electron-phonon interaction in monolayer biphenylene from first-principles calculations
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Physical Review B 2021年 第23期104卷 235422-235422页
作者: Peng-Fei Liu Jingyu Li Chi Zhang Xin-Hai Tu Junrong Zhang Ping Zhang Bao-Tian Wang David J. Singh Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 China Spallation Neutron Source Science Center Dongguan 523803 China Key Laboratory of Materials Physics Institute of Solid State Physics HFIPS Chinese Academy of Sciences Hefei 230031 China Foshan (Southern China) Institute for New Materials Foshan 528200 Guangdong China College of Electrical Engineering Henan University of Technology Zhengzhou 450001 China School of Physics and Physical Engineering Qufu Normal University Qufu 273165 China LCP Institute of Applied Physics and Computational Mathematics Beijing 100088 China Collaborative Innovation Center of Extreme Optics Shanxi University Taiyuan Shanxi 030006 China Department of Physics and Astronomy University of Missouri Columbia Missouri 65211 USA Department of Chemistry University of Missouri Columbia Missouri 65211 USA
We report a first-principles investigation of electronic structure, topological bands, and electron-phonon interactions in metallic biphenylene sheets. Biphenylene is a recently synthesized sp2-bonded carbon allotrope... 详细信息
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Robust convergence analysis of three-operator splitting
arXiv
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arXiv 2019年
作者: Wang, Han Fazlyab, Mahyar Chen, Shaoru Preciado, Victor M. Department of Applied Mathematics and Computational Science University of Pennsylvania PhiladelphiaPA19104 United States Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States
Operator splitting methods solve composite optimization problems by breaking them into smaller sub-problems that can be solved sequentially or in parallel. In this paper, we propose a unified framework for certifying ... 详细信息
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Robust model predictive control via system level synthesis
arXiv
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arXiv 2019年
作者: Wang, Han Chen, Shaoru Preciado, Victor M. Matni, Nikolai Department of Applied Mathematics and Computational Science University of Pennsylvania PhiladelphiaPA19104 United States Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States
In this paper, we consider the robust model predictive control (MPC) of a linear time-varying (LTV) system with norm bounded disturbances and model uncertainty, wherein a series of constrained optimal control problems... 详细信息
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Dynamics of Nanosecond Laser Pulse Propagation and of Associated Instabilities in a Magnetized Underdense Plasma
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Physical Review Letters 2023年 第26期130卷 265101-265101页
作者: W. Yao A. Higginson J.-R Marquès P. Antici J. Béard K. Burdonov M. Borghesi A. Castan A. Ciardi B. Coleman S. N. Chen E. d’Humières T. Gangolf L. Gremillet B. Khiar L. Lancia P. Loiseau X. Ribeyre A. Soloviev M. Starodubtsev Q. Wang J. Fuchs LULI—CNRS CEA UPMC Univ Paris 06: Sorbonne Université École Polytechnique Institut Polytechnique de Paris—F-91128 Palaiseau cedex France Sorbonne Université Observatoire de Paris Université PSL CNRS LERMA F-75005 Paris France Center for Energy Research University of California San Diego 9500 Gilman Drive La Jolla California 92093-0417 USA INRS-EMT 1650 boul Lionel-Boulet Varennes QC J3X 1S2 Canada CNRS LNCMI Univ Toulouse 3 INSA Toulouse Univ Grenoble Alpes EMFL 31400 Toulouse France JIHT Russian Academy of Sciences 125412 Moscow Russia School of Mathematics and Physics The Queen’s University Belfast Belfast United Kingdom CEA DAM DIF F-91297 Arpajon France “Horia Hulubei” National Institute for Physics and Nuclear Engineering RO-077125 Bucharest-Magurele Romania University of Bordeaux CELIA CNRS CEA UMR 5107 F-33405 Talence France Université Paris-Saclay CEA LMCE 91680 Bruyères-le-Châtel France Office National d’Etudes et de Recherches Aérospatiales (ONERA) Palaiseau 91123 France IAP-RAS Nizhny Novgorod 603950 Russia Institute of Applied Physics and Computational Mathematics Beijing 100094 China Department of Electrical and Computer Engineering University of Alberta 9211 116 St. NW Edmonton Alberta T6G 1H9 Canada
The propagation and energy coupling of intense laser beams in plasmas are critical issues in inertial confinement fusion. Applying magnetic fields to such a setup has been shown to enhance fuel confinement and heating... 详细信息
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Visualizing structure and transitions in high-dimensional biological data (vol 54, pg 781, 2019)
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NATURE BIOTECHNOLOGY 2020年 第1期38卷 108-108页
作者: Moon, Kevin R. van Dijk, David Wang, Zheng Gigante, Scott Burkhardt, Daniel B. Chen, William S. Yim, Kristina van den Elzen, Antonia Hirn, Matthew J. Coifman, Ronald R. Ivanova, Natalia B. Wolf, Guy Krishnaswamy, Smita Department of Mathematics and Statistics Utah State University Logan USA Cardiovascular Research Center section Cardiology Department of Internal Medicine Yale University New Haven USA Department of Computer Science Yale University New Haven USA School of Basic Medicine Qingdao University Qingdao China Yale Stem Cell Center Department of Genetics Yale University New Haven USA Computational Biology and Bioinformatics Program Yale University New Haven USA Department of Genetics Yale University New Haven USA Department of Computational Mathematics Science and Engineering Michigan State University East Lansing USA Department of Mathematics Michigan State University East Lansing USA Applied Mathematics Program Yale University New Haven USA Department of Genetics Center for Molecular Medicine University of Georgia Athens USA Department of Mathematics and Statistics Université de Montréal Montréal Canada Mila—Quebec Artificial Intelligence Institute Montréal Canada
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Training of Physical Neural Networks
arXiv
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arXiv 2024年
作者: Momeni, Ali Rahmani, Babak Scellier, Benjamin Wright, Logan G. McMahon, Peter L. Wanjura, Clara C. Li, Yuhang Skalli, Anas Berloff, Natalia G. Onodera, Tatsuhiro Oguz, Ilker Morichetti, Francesco del Hougne, Philipp Le Gallo, Manuel Sebastian, Abu Mirhoseini, Azalia Zhang, Cheng Marković, Danijela Brunner, Daniel Moser, Christophe Gigan, Sylvain Marquardt, Florian Ozcan, Aydogan Grollier, Julie Liu, Andrea J. Psaltis, Demetri Alù, Andrea Fleury, Romain Lausanne Switzerland Microsoft Research 198 Cambridge Science Park CambridgeCB4 0AB United Kingdom Rain AI San Francisco United States Department of Applied Physics Yale University CT United States School of Applied and Engineering Physics Cornell University IthacaNY14853 United States Max Planck Institute for the Science of Light Staudtstraße 2 Erlangen91058 Germany Department of Electrical and Computer Engineering University of California Los AngelesCA90095 United States FEMTO-ST Institute Optics Department CNRS University Bourgogne Franche-Comté Besançon25030 Cedex France Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge United Kingdom NTT Physics and Informatics Laboratories NTT Research Inc. Sunnyvale United States Lausanne Switzerland Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Milan Italy Univ Rennes CNRS IETR UMR 6164 RennesF-35000 France IBM Research Europe– Zurich Rüschlikon8803 Switzerland Department of Computer Science Stanford University United States Google DeepMind 1600 Amphitheatre Parkway Mountain ViewCA94043 United States Unité Mixte de Physique CNRS/Thales CNRS Thales Université Paris-Saclay Palaiseau France Laboratoire Kastler Brossel Sorbonne Université École Normale Supérieure Collège de France CNRS UMR 8552 Paris France Laboratoire Albert Fert CNRS Thales UniversitéParis-Saclay Palaiseau91767 France Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Lausanne Switzerland Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Physics Program Graduate Center City University of New York New YorkNY10016 United States
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research area with small-scale laboratory demo... 详细信息
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Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease
Research Square
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Research Square 2021年
作者: Kuchroo, Manik Huang, Jessie Wong, Patrick Grenier, Jean-Christophe Shung, Dennis Tong, Alexander Lucas, Carolina Klein, Jon Burkhardt, Daniel B. Gigante, Scott Godavarthi, Abhinav Rieck, Bastian Israelow, Benjamin Simonov, Michael Mao, Tianyang Oh, Ji Eun Silva, Julio Takahashi, Takehiro Odio, Camila D. Casanovas-Massana, Arnau Fournier, John Farhadian, Shelli Dela Cruz, Charles S. Ko, Albert I. Hirn, Matthew J. Wilson, F. Perry Hussin, Julie Wolf, Guy Iwasaki, Akiko Krishnaswamy, Smita Department of Neuroscience Yale University New HavenCT United States Department of Computer Science Yale University New HavenCT United States Department of Immunobiology Yale University New HavenCT United States Montreal Heart Institute MontréalQC Canada Department of Medicine Yale University New HavenCT United States Department of Genetics Yale University New HavenCT United States Computational Biology Bioinformatics Program Yale University New HavenCT United States Department of Applied Mathematics Yale University New HavenCT United States Department of Biosystems Science and Engineering ETH Zurich Switzerland Department of Epidemiology of Microbial Diseases Yale School of Public Health New HavenCT United States Department of Medicine Section of Infectious Diseases Yale University School of Medicine New HavenCT United States Department of Medicine Section of Pulmonary and Critical Care Medicine Yale University School of Medicine New HavenCT United States Department of Computational Mathematics Science and Engineering Michigan State University East LansingMI United States Department of Mathematics Michigan State University East LansingMI United States Clinical and Translational Research Accelerator Department of Medicine Yale University New HavenCT United States Faculty of Medicine Université de Montréal Québec Canada Mila – Quebec AI institute MontréalQC Canada Department of Mathematics and Statistics Université de Montréal MontréalQC Canada Howard Hughes Medical Institute Chevy ChaseMD United States
The biomedical community is producing increasingly high dimensional datasets, integrated from hundreds of patient samples, which current computational techniques struggle to explore. To uncover biological meaning from... 详细信息
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Dynamic Mode Decomposition and Sparse Measurements for Characterization and Monitoring of Power System Disturbances
arXiv
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arXiv 2019年
作者: Ramos, J. Jorge Kutz, J. Nathan Graduate Program in Electrical Engineering Cinvestav Unidad Guadalajara Guadalajaram Jal Mexico Department of Applied Mathematics University of Washington SeattleWA98195 United States
We introduce the dynamics mode decomposition for monitoring wide-area power grid networks from sparse measurement data. The mathematical framework fuses data from multiple sensors based on multivariate statistics, pro... 详细信息
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Unsupervised particle sorting for high-resolution single-particle cryo-EM
arXiv
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arXiv 2019年
作者: Zhou, Ye Moscovich, Amit Bendory, Tamir Bartesaghi, Alberto Department of Computer Science Duke University Durham United States Program in Applied and Computational Mathematics Princeton University United States School of Electrical Engineering Tel Aviv University Tel Aviv Israel Department of Biochemistry Duke University School of Medicine Durham United States Department of Electrical and Computer Engineering Duke University Durham United States
Single-particle cryo-Electron Microscopy (EM) has become a popular technique for determining the structure of challenging biomolecules that are inaccessible to other technologies. Recent advances in automation, both i... 详细信息
来源: 评论