Interface PINNs (I-PINNs): a physics-informed neural networks framework for interface problems
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Publication:6588288
DOI10.1016/j.cma.2024.117135MaRDI QIDQ6588288
Shriram Jagannathan, Pratanu Roy, Chandrasekhar Annavarapu, Sumanta Roy, Antareep Kumar Sarma
Publication date: 15 August 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
heterogeneous materialsinterface problemsdeep learningphysics-informed neural networksdiscontinuous fieldsphysics-informed machine learning
Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Finite volume methods for boundary value problems involving PDEs (65N08)
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