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January 01, 2026 article

Time/Space Separation-Based Spatiotemporal Modeling of Distributed Parameter Systems: From Traditional Physics-Based Modeling to Deep Physics-Informed Learning—A Survey

IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2026.3699025 OpenAlex

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A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method
2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

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