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检索条件"机构=Program in Applied and Computational Mathematics"
1033 条 记 录,以下是531-540 订阅
排序:
On the local well-posedness for the relativistic euler equations for a liquid body
arXiv
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arXiv 2021年
作者: Ginsberg, Daniel Lindblad, Hans Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Johns Hopkins University Department of Mathematics 3400 N. Charles St. BaltimoreMD21218 United States
We prove a local existence theorem for the free boundary problem for a relativistic fluid in a fixed spacetime. Our proof involves an a priori estimate which only requires control of derivatives tangential to the boun...
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Sharp rates of convergence for accumulated spectrograms
arXiv
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arXiv 2017年
作者: Abreu, Luis Daniel Pereira, Joao Romero, Jose Luis Acoustics Research Institute Austrian Academy of Science Wohllebengasse 12-14 ViennaA-1040 Austria Program in Applied and Computational Mathematics Princeton University NJ08544 United States
We investigate an inverse problem in time-frequency localization: the approximation of the symbol of a time-frequency localization operator from partial spectral information by the method of accumulated spectrograms (... 详细信息
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Artificial neural network approach for turbulence models: A local framework
arXiv
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arXiv 2021年
作者: Xie, Chenyue Xiong, Xiangming Wang, Jianchun Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen518055 China
A local artificial neural network (LANN) framework is developed for turbulence modeling. The Reynolds-averaged Navier-Stokes (RANS) unclosed terms are reconstructed by artificial neural network (ANN) based on the loca... 详细信息
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NOMAD: Nonlinear Manifold Decoders for Operator Learning
arXiv
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arXiv 2022年
作者: Seidman, Jacob H. Kissas, Georgios Perdikaris, Paris Pappas, George J. Graduate Program in Applied Mathematics and Computational Science University of Pennsylvania United States Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania United States Department of Electrical and Systems Engineering University of Pennsylvania United States
Supervised learning in function spaces is an emerging area of machine learning research with applications to the prediction of complex physical systems such as fluid flows, solid mechanics, and climate modeling. By di... 详细信息
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Estimation in the group action channel
arXiv
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arXiv 2018年
作者: Abbe, Emmanuel Pereira, João M. Singer, Amit Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States Electrical Engineering Department Princeton University PrincetonNJ United States Department of Mathematics Princeton University PrincetonNJ United States
MSC Codes 94A15, 62B10We analyze the problem of estimating a signal from multiple measurements on a group action channel that linearly transforms a signal by a random group action followed by a fixed projection and ad... 详细信息
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Multireference alignment is easier with an aperiodic translation distribution
arXiv
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arXiv 2017年
作者: Abbe, Emmanuel Bendory, Tamir Leeb, William Pereira, João M. Sharon, Nir Singer, Amit Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States Electrical Engineering Department Princeton University PrincetonNJ United States Department of Mathematics Princeton University PrincetonNJ United States
In the multireference alignment model, a signal is observed by the action of a random circular translation and the addition of Gaussian noise. The goal is to recover the signal's orbit by accessing multiple indepe... 详细信息
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Deep Potentials for Materials Science
arXiv
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arXiv 2022年
作者: Wen, Tongqi Zhang, Linfeng Wang, Han Weinan, E. Srolovitz, David J. Department of Mechanical Engineering The University of Hong Kong Hong Kong DP Technology Beijing China AI for Science Institute Beijing China Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Beijing China HEDPS CAPT College of Engineering Peking University Beijing China School of Mathematical Sciences Peking University Beijing China Department of Mathematics and Program in Applied and Computational Mathematics Princeton University Princeton United States Shenzhen China
To fill the gap between accurate (and expensive) ab initio calculations and efficient atomistic simulations based on empirical interatomic potentials, a new class of descriptions of atomic interactions has emerged and... 详细信息
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DeePKS Model for Halide Perovskites with the Accuracy of Hybrid Functional
arXiv
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arXiv 2023年
作者: Ou, Qi Tuo, Ping Li, Wenfei Wang, Xiaoxu Chen, Yixiao Zhang, Linfeng AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States
Accurate prediction for the electronic structure properties of halide perovskites plays a significant role in the design of highly efficient and stable solar cells. While density functional theory (DFT) within the gen... 详细信息
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A class of dimension-free metrics for the convergence of empirical measures
arXiv
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arXiv 2021年
作者: Han, Jiequn Hu, Ruimeng Long, Jihao Department of Mathematics Princeton University PrincetonNJ08544-1000 United States Department of Mathematics Department of Statistics and Applied Probability University of California Santa BarbaraCA93106-3080 United States The Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544-1000 United States
This paper concerns the convergence of empirical measures in high dimensions. We propose a new class of probability metrics and show that under such metrics, the convergence is free of the curse of dimensionality (CoD... 详细信息
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Spectral Dynamics of Spatially Incoherent Modulation Instability
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Physical Review Letters 2012年 第26期108卷 263902-263902页
作者: Can Sun Laura Waller Dmitry V. Dylov Jason W. Fleischer Department of Electrical Engineering Princeton University Princeton New Jersey 08544 USA General Electric Global Research Center Niskayuna New York 12309 USA Program in Applied and Computational Mathematics Princeton University Princeton New Jersey 08544 USA
To date, all experiments in nonlinear statistical optics have relied on beams whose transverse spatial statistics were Gaussian. Here, we present a new technique to generalize these studies by using a spatial light mo... 详细信息
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