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A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Despite their effectiveness in modeling complex phenomena, the adoption of machine learning (ML) methods in computational mechanics has been hindered by the lack of availability of training datasets, limitations on the ...
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