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...

Full description

Bibliographic Details
Main Authors: Karuppasamy Pandian Marimuthu, Hyungyil Lee
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Materials & Design
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127523009097