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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201-210 订阅
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Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning...
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IEEE Conference on Decision and Control
作者: Thomas Beckers Jacob Seidman Paris Perdikaris George J. Pappas Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA graduate program in Applied Mathematics and Computational Science University of Pennsylvania Philadelphia PA USA Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania Philadelphia PA USA
Data-driven approaches achieve remarkable results for the modeling of complex dynamics based on collected data. However, these models often neglect basic physical principles which determine the behavior of any real-wo... 详细信息
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Possible origin of the discrepancy in Peierls stresses of fcc metals: First-principles simulations of dislocation mobility in aluminum
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Physical Review B 2013年 第6期88卷 064106-064106页
作者: Ilgyou Shin Emily A. Carter Department of Mechanical and Aerospace Engineering Program in Applied and Computational Mathematics and Andlinger Center for Energy and the Environment Princeton University Princeton New Jersey 08544-5263 USA
Dislocation motion governs the strength and ductility of metals, and the Peierls stress (σp) quantifies dislocation mobility. σp measurements carry substantial uncertainty in face-centered cubic (fcc) metals, and σ... 详细信息
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An Optimal Framework for SDN Based on Deep Neural Network
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Computers, Materials & Continua 2022年 第10期73卷 1125-1140页
作者: Abdallah Abdallah Mohamad Khairi Ishak Nor Samsiah Sani Imran Khan Fahad RAlbogamy Hirofumi Amano Samih M.Mostafa Department of Industrial Engineering School of Applied Technical Sciences German Jordanian UniversityAmman35247Jordan School of Electrical and Electronic Engineering Universiti Sains MalaysiaNibong Tebal14300Malaysia Center for Artificial Intelligence Technology Faculty of Information Science and TechnologyThe National University of Malaysia(UKM)Bangi43600SelangorMalaysia Department of Electrical Engineering University of Engineering and TechnologyPeshawar814Pakistan Turabah University College Computer Sciences ProgramTaif UniversityTaif21944Saudi Arabia Research Institute for Information Technology Kyushu UniversityFukuoka819-0395Japan Computer Science-Mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt
Software-defined networking(SDN)is a new paradigm that promises to change by breaking vertical integration,decoupling network control logic from the underlying routers and switches,promoting(logical)network control ce... 详细信息
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MODELING A SIMPLE CHOICE TASK: STOCHASTIC DYNAMICS OF MUTUALLY INHIBITORY NEURAL GROUPS
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Stochastics and Dynamics 2001年 第2期1卷 159-191页
作者: ERIC BROWN PHILIP HOLMES Program in Applied and Computational Mathematics Princeton University Princeton NJ 08544 USA Also at Department of Mechanical and Aerospace Engineering Princeton University Princeton NJ 08544 USA.
We describe the dynamical and bifurcational behavior of two mutually inhibitory, leaky, neural units subject to external stimulus, random noise, and "priming biases". The model describes a simple forced choi...
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A distribute parallel approach for big data scale optimal power flow with security constraints
A distribute parallel approach for big data scale optimal po...
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IEEE International Conference on Smart Grid Communications (SmartGridComm)
作者: Lanchao Liu Amin Khodaei Wotao Yin Zhu Han Electrical and Computer Engineering Department University of Houston Houston TX Electrical and Computer Engineering Department University of Denver Denver CO Department of Computational and Applied Mathematics Rice University Houston TX
This paper presents a mathematical optimization framework for security-constrained optimal power flow (SCOPF) computations. The SCOPF problem determines the optimal control of power systems under constraints arising f... 详细信息
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Towards optimization of a human-inspired heuristic for solving explore-exploit problems
Towards optimization of a human-inspired heuristic for solvi...
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IEEE Annual Conference on Decision and Control
作者: Paul Reverdy Robert C. Wilson Philip Holmes Naomi E. Leonard Department of Mechanical and Aerospace Engineering Princeton University Department of Psychology and Neuroscience Institute Princeton University Program in Applied and Computational Mathematics Princeton University
Motivated by models of human decision making, we consider a heuristic solution for explore-exploit problems. In a numerical example we show that, with appropriate parameter values, the algorithm performs well. However... 详细信息
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ABACUS: An Electronic Structure Analysis Package for the AI Era
arXiv
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arXiv 2025年
作者: Zhou, Weiqing Zheng, Daye Liu, Qianrui Lu, Denghui Liu, Yu Lin, Peize Huang, Yike Peng, Xingliang Bao, Jie J. Cai, Chun Jin, Zuxin Wu, Jing Zhang, Haochong Jin, Gan Ji, Yuyang Shen, Zhenxiong Liu, Xiaohui Sun, Liang Cao, Yu Sun, Menglin Liu, Jianchuan Chen, Tao Liu, Renxi Li, Yuanbo Han, Haozhi Liang, Xinyuan Bao, Taoni Chen, Nuo Ren, Hongxu Zhang, Xiaoyang Liu, Zhaoqing Fu, Yiwei Liu, Maochang Li, Zhuoyuan Wen, Tongqi Tang, Zechen Xu, Yong Duan, Wenhui Wang, Xiaoyang Gu, Qiangqiang Dai, Fu-Zhi Zheng, Qijing Zhao, Jin Zhang, Yuzhi Ou, Qi Jiang, Hong Liu, Shi Xu, Ben Xu, Shenzhen Ren, Xinguo He, Lixin Zhang, Linfeng Chen, Mohan AI for Science Institute Beijing100080 China HEDPS CAPT School of Physics College of Engineering Peking University Beijing100871 China College of Engineering Peking University Beijing100871 China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei230026 China Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China Supercomputing Center University of Science and Technology of China Anhui Hefei230026 China Institute of Physics Chinese Academy of Sciences Beijing100190 China School of Materials Science and Engineering Peking University Beijing100871 China School of Electrical Engineering and Electronic Information Xihua University Chengdu610039 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China College of Chemistry and Molecular Engineering Peking University Beijing100871 China International Research Center for Renewable Energy State Key Laboratory of Multiphase Flow Xi’an Jiaotong University Shaanxi Xi’an710049 China Suzhou Academy of Xi’an Jiaotong University Jiangsu Suzhou215123 China Center for Structural Materials Department of Mechanical Engineering The University of Hong Kong Hong Kong The University of Hong Kong Shenzhen China State Key Laboratory of Low Dimensional Quantum Physics Department of Physics Tsinghua University Beijing100084 China Frontier Science Center for Quantum Information Beijing China Saitama Wako351-0198 Japan Institute for Advanced Study Tsinghua University Beijing100084 China Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Fenghao East Road 2 Beijing100094 China School of Artificial Intelligence and Data Science University of Science and Technology of China Hefei230026 China School of Materials Science and Engineering University of Science and Technology Beijing Beijing100083 China Department of Physics University of Science and
ABACUS (Atomic-orbital Based Ab-initio Computation at USTC) is an open-source software for first-principles electronic structure calculations and molecular dynamics simulations. It mainly features density functional t... 详细信息
来源: 评论
A new solution of the Lyapunov equation
A new solution of the Lyapunov equation
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IEEE Conference on Decision and Control
作者: A.C. Antoulas D.C. Sorensen Department of Electrical and Computer Engineering Rice University Houston TX USA Department of Computational and Applied Mathematics Rice University Houston TX USA
We propose a way of solving the Lyapunov equation without computing eigenvalues. This method is related to the Schwarz form of a matrix. The solution can be obtained using the two-sided Lanczos approach by defining ap... 详细信息
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Implicit Neural Representations and the Algebra of Complex Wavelets
arXiv
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arXiv 2023年
作者: Roddenberry, T. Mitchell Saragadam, Vishwanath de Hoop, Maarten V. Baraniuk, Richard G. Department of Electrical and Computer Engineering Rice University United States Department of Computational Applied Mathematics and Operations Research Rice University United States
Implicit neural representations (INRs) have arisen as useful methods for representing signals on Euclidean domains. By parameterizing an image as a multilayer perceptron (MLP) on Euclidean space, INRs effectively repr... 详细信息
来源: 评论
PiRL: Participant-Invariant Representation Learning for Healthcare Using Maximum Mean Discrepancy and Triplet Loss
arXiv
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arXiv 2023年
作者: Cao, Zhaoyang Yu, Han Yang, Huiyuan Sano, Akane Department of Computational and Applied Mathematics Rice University Houston United States Department of Electrical and Computer Engineering Rice University Houston United States
Due to individual heterogeneity, person-specific models are usually achieving better performance than generic (one-size-fits-all) models in data-driven health applications. However, generic models are usually preferab... 详细信息
来源: 评论