A non-intrusive approach for physics-constrained learning with application to fuel cell modeling
Work
Year: 2023
Type: article
Source: Computational Mechanics
Institution University of Michigan–Ann Arbor
Cites: 31
Cited by: 1
Related to: 10
FWCI: 0.208
Citation percentile (by year/subfield): 43
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: closed