default author photo

Anh Tran

John Hancock

Sandia National Laboratories

P.O. Box 969

Livermore, CA 94551

United States

  • Sandia National Laboratories

SCHOLARLY PAPERS

1

DOWNLOADS

138

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Physics-Constrained Bayesian Neural Networks to Predict Grain Evolution

Downloads 138 (569,079)

Physics-Constrained Bayesian Neural Networks to Predict Grain Evolution

Number of pages: 28 Posted: 26 Feb 2024
Luka Malashkhia, Dehao Liu, Anh Tran and Yan Wang
Georgia Institute of Technology, Binghamton University, John Hancock and Georgia Institute of Technology
Downloads 109 (674,237)

Abstract:

Loading...

Physics-informed machine learning, Physics-constrained Bayesian neural network, Potts model, Two-point correlation, Fokker-Planck equation

Physics-Constrained Bayesian Neural Networks to Predict Grain Evolution

Number of pages: 27 Posted: 10 Feb 2026
Guangfa Li, Luka Malashkhia, Anh Tran, Yan Wang and Dehao Liu
Binghamton University, Georgia Institute of Technology, John Hancock, Georgia Institute of Technology and Binghamton University
Downloads 29 (1,459,262)

Abstract:

Loading...

Physics-constrained Bayesian neural network, Kinetic Monte Carlo, Potts model, Grain growth, Probabilistic distribution