Physics-informed holomorphic neural networks (PIHNNs): solving 2D linear elasticity problems
DOI10.1016/j.cma.2024.117406MaRDI QIDQ6643566
Allan P. Engsig-Karup, Matteo Calafà, Emil Hovad, Tito Andriollo
Publication date: 26 November 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
linear elasticitycomplex-valued neural networksphysics-informed neural networksscientific machine learningKolosov-Muskhelishvili representation
Artificial neural networks and deep learning (68T07) Classical linear elasticity (74B05) Linear elasticity with initial stresses (74B10) Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs (65M70)
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