Physics-informed neural networks for spherical indentation problems
A scientific deep learning (SciDL) approach was developed by integrating a regression-based spherical indentation method with an artificial neural network (ANN) to extract elastic–plastic properties from indentation load-depth curves. Different combinations of material parameters are constructed thr...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
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Series: | Materials & Design |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127523009097 |