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Data-driven plastic anisotropy predictions using crystal plasticity and deep learning models

Conference ·
DOI:https://doi.org/10.2172/2431726· OSTI ID:2431726
 [1];  [1];  [2];  [2]
  1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
  2. The Ohio State University

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
Advanced Simulation and Computing 
DOE Contract Number:
NA0003525
OSTI ID:
2431726
Report Number(s):
SAND2023-00669C
Country of Publication:
United States
Language:
English

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