Deep learning model to predict complex stress and strain fields in hierarchical composites

Abstract

Deep learning predicts mechanical fields in hierarchical composites, as an alternative to conventional numerical methods.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 09, 2021
Source ID
10.1126/sciadv.abd7416

Entities

People

  • Chi-Hua Yu
  • Markus J. Buehler
  • Zhenze Yang

Organizations

  • Air Force Office of Scientific Research
  • Army Research Office
  • Massachusetts Institute of Technology
  • National Cheng Kung University
  • Office of Naval Research

Tags

Readers

  • Mechanical Engineering/Mechanics of Materials.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks