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• A Stabilized Physics Informed Neural Networks Method for Wave Equations

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

  2024-12-11

  11911 1425 Pages:1100-1127

• 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

  40267 3177 Pages:298-322

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

  Jiacheng Li, Min Yang, Chuanjun Chen

  2024-05-11

  27404 2296 Pages:310-330

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

  Lin Wang, Min Yang, Ruisong Gao, Chuanjun Chen

  2025-05-16

  7657 564 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

  27909 2440 Pages:931-953

• Auto-Adaptive PINNs with Applications to Phase Transitions

  Kevin Buck, Woojeong Kim

  2026-04-07

  0 0

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

  Xiaodong Feng, Yue Qian, Wanfang Shen

  2023-08-29

  28431 2472 Pages:769-791