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  • A Deep Spatio-Temporal Forecasting Model for Multi-Site Weather Prediction Post-Processing

    Wenjia Kong, Haochen Li, Chen Yu, Jiangjiang Xia, Yanyan Kang, Pingwen Zhang
    2021-12-06
    53419 4553 Pages:131-153
  • A Variational Neural Network Approach for Glacier Modelling with Nonlinear Rheology

    Tiangang Cui, Zhongjian Wang, Zhiwen Zhang
    2023-11-08
    30734 2548 Pages:934-954
  • Cholesky-Based Experimental Design for Gaussian Process and Kernel-Based Emulation and Calibration

    Helumt Harbrecht, John D. Jakeman, Peter Zaspel
    2021-02-25
    45831 3160 Pages:1152-1185
  • Multi-Scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains

    Bo Wang, Wenzhong Zhang, Wei Cai
    2020-11-18
    64184 3294 Pages:2139-2157
  • Numerical Simulations for Full History Recursive Multilevel Picard Approximations for Systems of High-Dimensional Partial Differential Equations

    Sebastian Becker, Ramon Braunwarth, Martin Hutzenthaler, Arnulf Jentzen, Philippe von Wurstemberger
    2020-11-18
    64226 3325 Pages:2109-2138
  • On the Convergence of Physics Informed Neural Networks for Linear Second-Order Elliptic and Parabolic Type PDEs

    Yeonjong Shin, Jérôme Darbon, George Em Karniadakis
    2020-11-18
    88478 4440 Pages:2042-2074
  • 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
  • High-Dimensional Nonlinear Multi-Fidelity Model with Gradient-Free Active Subspace Method

    Bangde Liu, Guang Lin
    2020-11-18
    62412 3326 Pages:1937-1969
  • 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
  • Accelerated Molecular Statics Based on Atomic Inertia Effect

    Fei Shuang, Pan Xiao, Yilong Bai, Fujiu Ke
    2020-07-21
    47628 3188 Pages:1019-1037
  • Physics-Constrained, Data-Driven Discovery of Coarse-Grained Dynamics

    Lukas Felsberger & Phaedon-Stelios Koutsourelakis
    2019-01-10
    48570 5343 Pages:1259-1301
  • Model Reduction with Memory and the Machine Learning of Dynamical Systems

    Chao Ma, Jianchun Wang & Weinan E
    2018-12-08
    59155 5193 Pages:947-962 Open-access
  • Deep Potential: A General Representation of a Many-Body Potential Energy Surface

    Jiequn Han, Linfeng Zhang, Roberto Car & Weinan E
    2018-08-21
    94494 6411 Pages:629-639 Open-access
  • Thermal Response Variability of Random Polycrystalline Microstructures

    Bin Wen, Zheng Li & Nicholas Zabaras
    2011-10-01
    38937 3936 Pages:607-634
  • Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions

    Yulei Liao, Pingbing Ming
    2021-03-24
    53158 3424 Pages:1365-1384
  • Integral Regularization PINNs for Evolution Equations

    Xiaodong Feng, Haojiong Shangguan, Tao Tang, Xiaoliang Wan
    2025-11-28
    919 31 Pages:356-386
  • Variational Low-Light Image Enhancement Based on Fractional-Order Differential

    Qianting Ma, Yang Wang, Tieyong Zeng
    2024-01-31
    28648 2620 Pages:139-159
  • A Lightweight Data-Driven Model Enhanced Discontinuous Galerkin Method for Rapidly Simulating Transonic Airfoil Flowfields

    Lili Lv, Yiwei Feng, Weixiong Yuan, Liang Xu, Tiegang Liu
    2025-09-05
    3400 334 Pages:1053-1088
  • A Conservative and Positivity-Preserving Method for Solving Anisotropic Diffusion Equations with Deep Learning

    Hui Xie, Li Liu, Chuanlei Zhai, Xuejun Xu, Heng Yong
    2024-03-13
    26134 2223 Pages:467-497
  • Time Integration Schemes Based on Neural Networks for Solving Partial Differential Equations on Coarse Grids

    Xinxin Yan, Zhideng Zhou, Xiaohan Cheng, Xiaolei Yang
    2024-12-02
    201 54 Pages:1262-1306
  • Frame Invariance and Scalability of Neural Operators for Partial Differential Equations

    Muhammad I. Zafar, Jiequn Han, Xu-Hui Zhou, Heng Xiao
    2022-08-11
    303702 3397 Pages:336-363
  • A Neural Particle Method with Interface Tracking and Adaptive Particle Refinement for Free Surface Flows

    Pei-Hsin Pai, Heng-Chuan Kan, Hock-Kiet Wong, Yih-Chin Tai
    2024-10-29
    152 68 Pages:1021-1052
  • Weak Collocation Regression for Inferring Stochastic Dynamics with Lévy Noise

    Liya Guo, Liwei Lu, Zhijun Zeng, Pipi Hu, Yi Zhu
    2025-05-29
    194 60 Pages:1277-1304
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