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检索条件"机构=Program in Applied an Computational Mathematics"
1029 条 记 录,以下是371-380 订阅
排序:
Accurate deep potential model for the Al-Cu-Mg alloy in the full concentration space
arXiv
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arXiv 2020年
作者: Jiang, Wanrun Zhang, Yuzhi Zhang, Linfeng Wang, Han Songshan Lake Materials Laboratory DongguanGuangdong523808 China Institute of Physics Chinese Academy of Sciences Beijing100190 China Beijing Institute of Big Data Research Beijing100871 China Yuanpei College Peking University Beijing100871 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Huayuan Road 6 Beijing100088 China
Combining first-principles accuracy and empirical-potential efficiency for the description of the potential energy surface (PES) is the philosopher's stone for unraveling the nature of matter via atomistic simulat... 详细信息
来源: 评论
Simulating Cardiac Fluid Dynamics in the Human Heart
arXiv
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arXiv 2023年
作者: Davey, Marshall Puelz, Charles Rossi, Simone Smith, Margaret Anne Wells, David R. Sturgeon, Gregory M. Segars, W. Paul Vavalle, John P. Peskin, Charles S. Griffith, Boyce E. University of North Carolina Chapel HillNC United States Department of Pediatrics-Cardiology Baylor College of Medicine Texas Children’s Hospital HoustonTX United States Department of Mathematics University North Carolina Chapel HillNC United States Department of Radiology Duke University Medical Center DurhamNC United States Division of Cardiology Department of Medicine University of North Carolina School of Medicine Chapel HillNC United States Courant Institute of Mathematical Sciences New York University New YorkNY United States Departments of Mathematics and Biomedical Engineering University of North Carolina Chapel HillNC United States Carolina Center for Interdisciplinary Applied Mathematics University of North Carolina Chapel HillNC United States Computational Medicine Program University of North Carolina School of Medicine Chapel HillNC United States McAllister Heart Institute University of North Carolina School of Medicine Chapel HillNC United States
Cardiac fluid dynamics fundamentally involves interactions between complex blood flows and the structural deformations of the muscular heart walls and the thin, flexible valve leaflets. There has been longstanding sci... 详细信息
来源: 评论
Global convergence of gradient descent for deep linear residual networks
arXiv
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arXiv 2019年
作者: Wu, Lei Wang, Qingcan Ma, Chao Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States
We analyze the global convergence of gradient descent for deep linear residual networks by proposing a new initialization: Zero-asymmetric (ZAS) initialization. It is motivated by avoiding stable manifolds of saddle p... 详细信息
来源: 评论
An optimal algorithm for strict circular seriation
arXiv
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arXiv 2021年
作者: Armstrong, Santiago Guzmán, Cristóbal Long, Carlos A. Sing Institute for Mathematical and Computational Engineering Pontificia Universidad Católica de Chile Santiago Chile Anid - Millennium Science Initiative Program Millennium Nucleus Center for the Discovery of Structures in Complex Data Santiago Chile Department of Applied Mathematics University of Twente Netherlands Institute for Biological and Medical Engineering Pontificia Universidad Católica de Chile Santiago Chile
We study the problem of circular seriation, where we are given a matrix of pairwise dissimilarities between n objects, and the goal is to find a circular order of the objects in a manner that is consistent with their ... 详细信息
来源: 评论
Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles
arXiv
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arXiv 2019年
作者: Sharon, Nir Kileel, Joe Khoo, Yuehaw Landa, Boris Singer, Amit School of Mathematical Sciences Tel Aviv University Israel Program in Applied and Computational Mathematics Princeton University United States Department of Statistics and the College University of Chicago United States Applied Mathematics Program Yale University United States Program in Applied and Computational Mathematics Department of Mathematics Princeton University United States
Single-particle reconstruction in cryo-electron microscopy (cryo-EM) is an increasingly popular technique for determining the 3-D structure of a molecule from several noisy 2-D projections images taken at unknown view... 详细信息
来源: 评论
Neural network representation of electronic structure from ab initio molecular dynamics
arXiv
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arXiv 2020年
作者: Gu, Qiangqiang Zhang, Linfeng Feng, Ji International Center for Quantum Materials School of Physics Peking University Beijing100871 China Department of Mathematics and Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Collaborative Innovation Center of Quantum Matter Beijing100871 China
Despite their rich information content, electronic structure data amassed at high volumes in ab initio molecular dynamics simulations are generally under-utilized. We introduce a transferable high-fidelity neural netw... 详细信息
来源: 评论
A Model of Fluid-Structure and Biochemical Interactions for Applications to Subclinical Leaflet Thrombosis
arXiv
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arXiv 2022年
作者: Barrett, Aaron Brown, Jordan A. Smith, Margaret Anne Woodward, Andrew Vavalle, John P. Kheradvar, Arash Griffith, Boyce E. Fogelson, Aaron L. Department of Mathematics University of Utah Salt Lake CityUT United States Department of Mathematics University of North Carolina Chapel HillNC United States Advanced Medical Imaging Lab University of North Carolina Medical Center Chapel HillNC United States University of North Carolina School of Medicine Chapel HillNC United States Division of Cardiology Department of Medicine University of North Carolina Chapel HillNC United States Department of Biomedical Engineering University of California Irvine IrvineCA United States Department of Mathematics Applied Physical Sciences and Biomedical Engineering University of North Carolina Chapel HillNC United States Carolina Center for Interdisciplinary Applied Mathematics University of North Carolina Chapel HillNC United States Computational Medicine Program University of North Carolina Chapel HillNC United States McAllister Heart Institute University of North Carolina Chapel HillNC United States Department of Mathematics and Biomedical Engineering University of Utah Salt Lake CityUT United States
Subclinical leaflet thrombosis (SLT) is a potentially serious complication of aortic valve replacement with a bioprosthetic valve in which blood clots form on the replacement valve. SLT is associated with increased ri... 详细信息
来源: 评论
On the solution of Laplace’s equation in the vicinity of triple-junctions
arXiv
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arXiv 2019年
作者: Hoskins, Jeremy Rachh, Manas Applied Mathematics Program Yale University United States Center for Computational Mathematics Flatiron Institute United States
In this paper we characterize the behavior of solutions to systems of boundary integral equations associated with Laplace transmission problems in composite media consisting of regions with polygonal boundaries. In pa... 详细信息
来源: 评论
OnsagerNet: Learning stable and interpretable dynamics using a generalized Onsager principle
arXiv
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arXiv 2020年
作者: Yu, Haijun Tian, Xinyuan Weinan, E. Li, Qianxiao NCMIS LSEC Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing100049 China Department of Mathematics The Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Department of Mathematics National University of Singapore Singapore119077 Singapore Institute of High Performance Computing A*STAR Singapore138632 Singapore
We propose a systematic method for learning stable and physically interpretable dynamical models using sampled trajectory data from physical processes based on a generalized Onsager principle. The learned dynamics are... 详细信息
来源: 评论
End-to-end quantum machine learning implemented with controlled quantum dynamics
arXiv
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arXiv 2020年
作者: Wu, Re-Bing Cao, Xi Xie, Pinchen Liu, Yu-Xi Department of Automation Tsinghua University Beijing100084 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Institute of Micro-Nano Electronics Tsinghua University Beijing100084 China
This work presents a hardware-friendly end-to-end quantum machine learning scheme that can be implemented with imperfect near-term intermediate-scale quantum processors. The proposal transforms the machine learning ta... 详细信息
来源: 评论