Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Application of Strain Functionals for Physics Informed Machine Learning

Conference ·
DOI:https://doi.org/10.2172/2480309· OSTI ID:2480309
 [1];  [1];  [2];  [1]
  1. Los Alamos National Laboratory
  2. Arete Corporation
+ Show Author Affiliations
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
LDRD
DOE Contract Number:
89233218CNA000001
OSTI ID:
2480309
Report Number(s):
LA-UR-22-30686
Country of Publication:
United States
Language:
English

Similar Records

SmartTensors: Unsupervised and Physics-informed Machine Learning Framework for the Geoscience Applications
Conference · Thu Jun 16 00:00:00 EDT 2022 · OSTI ID:1873305
Unsupervised and Physics-Informed Machine learning in Geosciences
Conference · Mon Apr 12 00:00:00 EDT 2021 · OSTI ID:1776736
Mass balance of physics-informed and physics-constrained machine learning
Conference · Mon Dec 13 23:00:00 EST 2021 · OSTI ID:1835755

Related Subjects

Material Science
Strain functionals molecular dynamics grain boundaries