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检索条件"机构=Physics Department and Program in Applied and Computational Mathematics"
3203 条 记 录,以下是651-660 订阅
排序:
Multigoal-oriented dual-weighted-residual error estimation using PINNs
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Machine Learning for computational Science and Engineering 2025年 第1期1卷 1-18页
作者: Chakraborty, Ayan Wick, Thomas Rabczuk, Timon Zhuang, Xiaoying Chair of Computational Science and Simulation Technology Institute of Photonics Faculty of Mathematics and Physics Leibniz University Hannover Germany Institute of Applied Mathematics Welfengarten 1 AG Wissenschaftliches Rechnen Leibniz University Hannover Germany Cluster of Excellence PhoenixD (Photonics Optics and Engineering - Innovation Across Disciplines) Leibniz University Hannover Hannover Germany Université Paris-Saclay ENS Paris-Saclay LMT - Laboratoire de Mecanique et Technologie Gif-sur-Yvette France Institute of Structural Mechanics Bauhaus University Weimar Weimar Germany Department of Geotechnical Engineering College of Civil Engineering Tongji University Shanghai China
Deep learning has shown successful application in visual recognition and certain artificial intelligence tasks. It is mainly considered as a powerful tool with high flexibility to approximate functions. This paper pro...
来源: 评论
Design and Characterization of Type-Ii Superlattice-Based Inas/Alsb/Gasb Detector Structure
SSRN
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SSRN 2024年
作者: Kızılkaya, Kürşat Öztürk, Mustafa Kemal Hoştut, Mustafa Ergün, Yüksel Özçelik, Süleyman Turkish Aerospace Fethiye District Havacılık Avenue No:17 Ankara06980 Turkey Advanced Technologies Program Graduate School of Natural and Applied Sciences Gazi University Ankara06560 Turkey Photonics Application and Research Center Gazi University Ankara06560 Turkey Physics Department of Science Faculty Gazi University Ankara06560 Turkey Physics Department of Science Faculty Eskisehir Technical University Eskisehir26470 Turkey Photonics Department of Applied Science Faculty Gazi University Ankara06560 Turkey Department of Mathematics and Science Education Faculty of Education Akdeniz University Antalya07058 Turkey
In this study, N-Structured based InAs/AlSb/GaSb Type-II Superlattice pbin type detector structures are investigated. These systems make absorption in infrared region in electromagnetic spectrum as detectors. Structur... 详细信息
来源: 评论
Spread complexity as classical dilaton solutions
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Physical Review D 2023年 第2期108卷 025013-025013页
作者: Arghya Chattopadhyay Arpita Mitra Hendrik J. R. van Zyl Service de Physique de l’Univers Champs et Gravitation Université de Mons 20 Place du Parc 7000 Mons Belgium Department of Physics Pohang University of Science and Technology Pohang 37673 Korea Laboratory for Quantum Gravity & Strings Department of Mathematics & Applied Mathematics University of Cape Town Cape Town 7700 Rondebosch South Africa The National Institute for Theoretical and Computational Sciences Private Bag X1 Matieland 7600 Stellenbosch South Africa
We demonstrate a relation between Nielsen’s approach toward circuit complexity and Krylov complexity through a particular construction of quantum state space geometry. We start by associating Kähler structures o... 详细信息
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Atomic stick-slip friction as a two-dimensional thermally activated process
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Physical Review B 2022年 第16期105卷 165429-165429页
作者: Quanzhou Yao Jiawei Sun Xiaoying Zhuang Peter Wriggers Xi-Qiao Feng Qunyang Li Applied Mechanics Laboratory Department of Engineering Mechanics Tsinghua University Beijing 100084 China Chair of Computational Science and Simulation Technology Institute of Photonics Department of Mathematics and Physics Leibniz University Hannover 30167 Hannover Germany Institute for Continuum Mechanics Leibniz University Hannover Garbsen Germany State Key Laboratory of Tribology Tsinghua University Beijing 100084 China
Widely recognized as a thermally activated process, atomic stick-slip friction has been typically explained by Prandtl-Tomlinson model with thermal activation. Despite the limited success, theoretical predictions from... 详细信息
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Laboratory investigation of the jet deflection: collisionless to strong-collision
arXiv
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arXiv 2022年
作者: Lei, Zhu Zhao, Z.H. Li, X.Y. Li, L.X. Xie, Y. Yuan, W.Q. Zhu, B.Q. Zhu, J.Q. Zhu, S.P. He, X.T. Qiao, B. Center for Applied Physics and Technology HEDPS State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing100871 China Institute of Applied Physics and Computational Mathematics Beijing100094 China Department of Plasma Physics and Fusion Engineering CAS Key Laboratory of Geospace Environment University of Science and Technology of China Anhui Hefei230026 China National Laboratory on High Power Laser and Physics Chinese Academy of Sciences Shanghai201800 China
The interaction between a jet and its surrounding medium plays a crucial role in various astrophysical phenomena, notably in star formation and jet deflection. Despite its significance, the detailed processes and fine... 详细信息
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Algebraic Compression of Free Fermionic Quantum Circuits: Particle Creation, Arbitrary Lattices and Controlled Evolution
arXiv
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arXiv 2023年
作者: Kökcü, Efekan Camps, Daan Oftelie, Lindsay Bassman de Jong, Wibe A. Van Beeumen, Roel Kemper, A.F. Department of Physics North Carolina State University RaleighNC27695 United States National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Applied Mathematics and Computational Research Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States
Recently we developed a local and constructive algorithm based on Lie algebraic methods for compressing Trotterized evolution under Hamiltonians that can be mapped to free fermions [1, 2]. The compression algorithm yi... 详细信息
来源: 评论
Coarse-grained spectral projection (CGSP): A deep learning-assisted approach to quantum unitary dynamics
arXiv
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arXiv 2020年
作者: Xie, Pinchen Weinan, E. Program in Applied and Computational Mathematics Princeton University NJ08544 United States Department of Mathematics and Program in Applied and Computational Mathematics Princeton University NJ08544 United States
We propose the coarse-grained spectral projection method (CGSP), a deep learning-assisted approach for tackling quantum unitary dynamic problems with an emphasis on quench dynamics. We show CGSP can extract spectral c... 详细信息
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KOLMOGOROV WIDTH DECAY AND POOR APPROXIMATORS IN MACHINE LEARNING: SHALLOW NEURAL NETWORKS, RANDOM FEATURE MODELS AND NEURAL TANGENT KERNELS
arXiv
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arXiv 2020年
作者: Weinan, E. Wojtowytsch, Stephan Department of Mathematics and Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544
We establish a scale separation of Kolmogorov width type between subspaces of a given Banach space under the condition that a sequence of linear maps converges much faster on one of the subspaces. The general techniqu... 详细信息
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DeePKS-kit: A package for developing machine learning-based chemically accurate energy and density functional models
arXiv
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arXiv 2020年
作者: Chen, Yixiao Zhang, Linfeng Wang, Han Weinan, E. Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Huayuan Road 6 Beijing100088 China Department of Mathematics Princeton University PrincetonNJ United States
We introduce DeePKS-kit, an open-source software package for developing machine learning based energy and density functional models. DeePKS-kit is interfaced with PyTorch, an open-source machine learning library, and ... 详细信息
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Ground state energy functional with Hartree-Fock efficiency and chemical accuracy
arXiv
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arXiv 2020年
作者: Chen, Yixiao Zhang, Linfeng Wang, Han Weinan, E. Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Huayuan Road 6 Beijing100088 China Department of Mathematics Princeton University PrincetonNJ United States
We introduce the Deep Post–Hartree–Fock (DeePHF) method, a machine learning-based scheme for constructing accurate and transferable models for the ground-state energy of electronic structure problems. DeePHF predict... 详细信息
来源: 评论