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##search.searchResults.foundPlural##
Loss Jump During Loss Switch in Solving PDEs with Neural Networks
Zhiwei Wang, Lulu Zhang, Zhongwang Zhang, Zhi-Qin John Xu
2024-10-29
DOI:10.4208/cicp.OA-2024-0096
17522
1208
pp. 1090-1112
Generalized Lagrangian Neural Networks
Shanshan Xiao, Jiawei Zhang, Yifa Tang
2026-01-15
DOI:10.4208/cicp.OA-2024-0052
3372
511
pp. 59-77
Better Approximations of High Dimensional Smooth Functions by Deep Neural Networks with Rectified Power Units
Bo Li, Shanshan Tang, Haijun Yu
2019-12-07
DOI:10.4208/cicp.OA-2019-0168
52032
3444
pp. 379-411
Generalization Error Analysis of Neural Networks with Gradient Based Regularization
Lingfeng Li, Xue-Cheng Tai, Jiang Yang
2022-10-28
DOI:10.4208/cicp.OA-2021-0211
45822
3323
pp. 1007-1038
Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws
Taeyoung Kim, Myungjoo Kang
2025-09-02
DOI:10.4208/cicp.OA-2024-0123
12321
905
pp. 420-456
Convergence of Physics-Informed Neural Networks Applied to Linear Second-Order Elliptic Interface Problems
Sidi Wu, Aiqing Zhu, Yifa Tang, Benzhuo Lu
2023-03-13
DOI:10.4208/cicp.OA-2022-0218
41082
3304
pp. 596-627
Adaptive Interface-PINNs (AdaI-PINNs): An Efficient Physics-Informed Neural Networks Framework for Interface Problems
Sumanta Roy, Chandrasekhar Annavarapu, Pratanu Roy, Antareep Kumar Sarma
2025-09-02
DOI:10.4208/cicp.OA-2024-0131
10784
686
pp. 603-622
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
DOI:10.4208/cicp.OA-2020-0193
89565
4614
pp. 2042-2074
A Neural Network Approach to Sampling Based Learning Control for Quantum System with Uncertainty
Jingshi Li, Song Chen, Yanzhao Cao, Zhao Sun
2021-10-26
DOI:10.4208/cicp.OA-2020-0182
47322
3405
pp. 1453-1473
Frame Invariance and Scalability of Neural Operators for Partial Differential Equations
Muhammad I. Zafar, Jiequn Han, Xu-Hui Zhou, Heng Xiao
2022-08-11
DOI:10.4208/cicp.OA-2021-0256
303899
3517
pp. 336-363
A Mixed Wavelet-Learning Method of Predicting Macroscopic Effective Heat Transfer Conductivities of Braided Composite Materials
Hao Dong, Wenbo Kou, Junyan Han, Jiale Linghu, Minqiang Zou, Junzhi Cui
2022-01-27
DOI:10.4208/cicp.OA-2021-0110
43172
3277
pp. 593-625
Two-Scale Neural Networks for Partial Differential Equations with Small Parameters
Qiao Zhuang, Chris Ziyi Yao, Zhongqiang Zhang, George Em Karniadakis
2025-08-23
DOI:10.4208/cicp.OA-2024-0040
6671
631
pp. 603-629
Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part I: 1D Problems
Haoxiang Huang, Vigor Yang, Yingjie Liu
2023-09-04
DOI:10.4208/cicp.OA-2022-0285
35668
2891
pp. 290-317
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks
Yingzhou Li, Xiuyuan Cheng, Jianfeng Lu
2020-11-18
DOI:10.4208/cicp.OA-2020-0214
63895
3512
pp. 1838-1885
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
DOI:10.4208/cicp.OA-2021-0186
52182
3175
pp. 1272-1295
Physics-Driven Learning of the Steady Navier-Stokes Equations Using Deep Convolutional Neural Networks
Hao Ma, Yuxuan Zhang, Nils Thuerey, Xiangyu Hu, Oskar J. Haidn
2022-09-29
DOI:10.4208/cicp.OA-2021-0146
42895
3385
pp. 715-736
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Lévy Equations
Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi
2026-04-10
DOI:10.4208/cicp.OA-2024-0201
170
55
pp. 1-26
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
DOI:10.4208/cicp.OA-2020-0164
151550
6990
pp. 2002-2041
Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part II: 2D Problems
Haoxiang Huang, Vigor Yang, Yingjie Liu
2023-11-08
DOI:10.4208/cicp.OA-2023-0026
77238
3710
pp. 907-933
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems
Liang Yan, Tao Zhou
2020-11-18
DOI:10.4208/cicp.OA-2020-0186
67487
3473
pp. 2180-2205
Solving Allen-Cahn and Cahn-Hilliard Equations Using the Adaptive Physics Informed Neural Networks
Colby L. Wight, Jia Zhao
2021-01-13
DOI:10.4208/cicp.OA-2020-0086
59575
3990
pp. 930-954
Scale-Decomposed Physics-Informed Neural Networks for Singular Perturbation Problems
Lei Zhang, Guowei He
2026-01-18
DOI:10.4208/cicp.OA-2024-0149
1056
238
pp. 1267-1298
A Model-Data Asymptotic-Preserving Neural Network Method Based on Micro-Macro Decomposition for Gray Radiative Transfer Equations
Hongyan Li, Song Jiang, Wenjun Sun, Liwei Xu, Guanyu Zhou
2024-06-14
DOI:10.4208/cicp.OA-2022-0315
36826
1981
pp. 1155-1193
Adaptive Neural Network Basis Methods for Partial Differential Equations with Low-Regular Solutions
Jianguo Huang, Haohao Wu, Tao Zhou
2026-02-15
DOI:10.4208/cicp.OA-2024-0310
4085
195
pp. 553-577
Learning Invariant Representation of Multiscale Hyperelastic Constitutive Law from Sparse Experimental Data
Rui He, Junzhi Cui, Zihao Yang, Jieqiong Zhang, Xiaofei Guan
2023-09-04
DOI:10.4208/cicp.OA-2023-0098
34260
2839
pp. 392-417
Asymptotic-Preserving Neural Networks for Multiscale Kinetic Equations
Shi Jin, Zheng Ma, Keke Wu
2024-04-10
DOI:10.4208/cicp.OA-2023-0211
25513
2191
pp. 693-723
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
DOI:10.4208/cicp.OA-2023-0235
17866
1218
pp. 1021-1052
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