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  • Learning Specialized Activation Functions for Physics-Informed Neural Networks

    Honghui Wang, Lu Lu, Shiji Song, Gao Huang
    2023-11-08
    34363 2783 Pages:869-906
  • A Multi-Scale DNN Algorithm for Nonlinear Elliptic Equations with Multiple Scales

    Xi-An Li, Zhi-Qin John Xu, Lei Zhang
    2020-11-18
    67104 3635 Pages:1886-1906
  • A Consensus-Based Global Optimization Method with Adaptive Momentum Estimation

    Jingrun Chen, Shi Jin, Liyao Lyu
    2022-03-30
    47006 2985 Pages:1296-1316
  • Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

    Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo, Yanyang Xiao, Zheng Ma
    2020-11-18
    85482 4069 Pages:1746-1767
  • Multi-Scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains

    Ziqi Liu, Wei Cai, Zhi-Qin John Xu
    2020-11-18
    73632 3621 Pages:1970-2001
  • A Rate of Convergence of Physics Informed Neural Networks for the Linear Second Order Elliptic PDEs

    Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Fengru Wang, Yang Wang, Jerry Zhijian Yang
    2022-03-30
    51825 3084 Pages:1272-1295
  • A Deep Learning Modeling Framework to Capture Mixing Patterns in Reactive-Transport Systems

    N. V. Jagtap, M. K. Mudunuru, K. B. Nakshatrala
    2021-12-06
    49247 3959 Pages:188-223
  • Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations

    Ameya D. Jagtap, George Em Karniadakis
    2020-11-18
    147761 6053 Pages:2002-2041
  • Better Approximations of High Dimensional Smooth Functions by Deep Neural Networks with Rectified Power Units

    Bo Li, Shanshan Tang, Haijun Yu
    2019-12-07
    51684 3375 Pages:379-411
1 - 9 of 9 items
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