Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 01, 2019
Source ID
10.1016/j.jcp.2019.07.048

Entities

People

  • Dongkun Zhang
  • George Karniadakis
  • Ling Guo
  • Lu Lu

Organizations

  • Air Force Research Laboratory
  • Defense Advanced Research Projects Agency
  • National Natural Science Foundation of China
  • United States Army Research Laboratory

Tags

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks