Wavelet neural operator for solving parametric partial differential equations in computational mechanics problems
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Publication:2678512
DOI10.1016/j.cma.2022.115783OpenAlexW4311988656MaRDI QIDQ2678512
Souvik Chakraborty, Tapas Tripura
Publication date: 23 January 2023
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2205.02191
Related Items (7)
Discovering interpretable Lagrangian of dynamical systems from data ⋮ Fully probabilistic deep models for forward and inverse problems in parametric PDEs ⋮ Geometric learning for computational mechanics. III: Physics-constrained response surface of geometrically nonlinear shells ⋮ Physics informed WNO ⋮ Spectral neural operators ⋮ A nonlinear-manifold reduced-order model and operator learning for partial differential equations with sharp solution gradients ⋮ 3D elastic wave propagation with a factorized Fourier neural operator (F-FNO)
Uses Software
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