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• A comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations
  2019 · 34 citations
• Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
  2023 · 29 citations
• Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery
  2022 · 25 citations
• Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems
  2024 · 15 citations
• Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks
  2024 · 10 citations
• Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems
  2022 · 9 citations
• Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations
  2023 · 7 citations
• Multifidelity domain decomposition-based physics-informed neural networks and operators for time-dependent problems
  2024 · 3 citations