Search Results

• Noise Robust Physics-Informed Generative Adversarial Networks for Solving Stochastic Differential Equations

  Lin Wang, Min Yang, Ruisong Gao, Chuanjun Chen

  2025-05-16

  7496 523 Pages:521-543

• PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations

  Ruisong Gao, Yufeng Wang, Min Yang, Chuanjun Chen

  2023-11-07

  27792 2414 Pages:931-953

• An Adaptive Physics-Informed Neural Network with Two-Stage Learning Strategy to Solve Partial Differential Equations

  Shuyan Shi, Ding Liu, Ruirui Ji, Yuchao Han

  2023-04-10

  40114 3138 Pages:298-322

• Efficiently Training Physics-Informed Neural Networks via Anomaly-Aware Optimization

  Jiacheng Li, Min Yang, Chuanjun Chen

  2024-05-11

  27262 2263 Pages:310-330

• Uncertainty Quantification with Physics-Informed Generative Process Distributions for the Linear Diffusion Equation

  Wei Zhang, Hui Xie, Tengchao Yu, Heng Yong

  2025-09-01

  5132 410 Pages:794-816

• A Stabilized Physics Informed Neural Networks Method for Wave Equations

  Yuling Jiao, Yuhui Liu, Jerry Zhijian Yang, Cheng Yuan

  2024-12-11

  11793 1380 Pages:1100-1127

• MC-Nonlocal-PINNs: Handling Nonlocal Operators in PINNs via Monte Carlo Sampling

  Xiaodong Feng, Yue Qian, Wanfang Shen

  2023-08-29

  28323 2447 Pages:769-791

• A Physics-Informed Structure-Preserving Numerical Scheme for the Phase-Field Hydrodynamic Model of Ternary Fluid Flows

  Qi Hong, Yuezheng Gong, Jia Zhao

  2023-08-29

  35525 2980 Pages:565-596