B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2021
Source ID
10.1016/j.jcp.2020.109913

Entities

People

  • George Karniadakis
  • Xuhui Meng
  • Yang Liu

Organizations

  • Air Force Office of Scientific Research
  • National Institutes of Health
  • United States Department of Energy

Tags

Technology Areas

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