Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems
Work
Year: 2022
Type: article
Abstract: Understanding real-world dynamical phenomena remains a challenging task. Across various scientific disciplines, machine learning has advanced as the go-to technology to analyze nonlinear dynamical sys... more
Institutions Universität Hamburg, Hamburg University of Technology, Stanford University, Brown University
Cites: 26
Cited by: 104
Related to: 10
FWCI: 13.76
Citation percentile (by year/subfield): 99.98
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
APC paid (est): $4,840