A novel physics-regularized interpretable machine learning model for grain growth

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 01, 2022
Source ID
10.1016/j.matdes.2022.111032

Entities

People

  • Amanda R. Krause
  • Joel B Harley
  • Joseph Melville
  • Kristien Everett
  • Lin Yang
  • Michael R. Tonks
  • Michael S. Kesler
  • Vishal Yadav
  • Weishi Yan

Organizations

  • Office of Basic Energy Sciences
  • Office of Science
  • United States Department of Defense
  • United States Department of Energy

Tags

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks