Physics-graph-informed neural networks (PGINNs): From local point-wise constraint to global nodal association

Journal of Computational Physics 2026

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Authors: Feng Chen, Yiran Meng, Kegan Li, Chaoran Yang, Jincheng Dai

DOI: 10.1016/j.jcp.2026.114685

Cited by: 0

References: 46

Fields of Study & Subjects

Model Reduction and Neural Networks Neural Networks and Applications Numerical methods for differential equations

References 46