Data- and physics-driven deep learning for forward and inverse problems in computational mechanics

JOURNAL ARTICLE

Year: 2024 Journal: Repository for Publications and Research Data (ETH Zurich) Publisher: ETH Zurich

DOI: 10.3929/ethz-b-000706657

Keywords:

Deep learning Inverse problem Computational mechanics Computational model Computational complexity theory Artificial neural network

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