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August 03, 2026 article

Physics‐Informed Neural Networks for Flexoelectric Boundary Value Problems: A Reformulated Architecture for High‐ and Mixed‐Order Electromechanically Coupled Systems

International Journal for Numerical Methods in Engineering

DOI: 10.1002/nme.70400 OpenAlex

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References 2

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

216

citations
Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains
2023 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

98

citations

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