Work

Physics and equality constrained artificial neural networks: Application to forward and inverse problems with multi-fidelity data fusion

Year: 2022

Type: article

Source: Journal of Computational Physics

DOI: 10.1016/j.jcp.2022.111301

Authors: Shamsulhaq Basir, Inanc Senocak

Institution: University of Pittsburgh

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, University of Pittsburgh, Center for Research Computing, University of Pittsburgh

Award: CDS&E: Collaborative Research: Deep learning enhanced parallel computations of fluid flow around moving boundaries on binarized octrees

OpenAlex ID: W4280607878

FWCI: 7.317

Cites: 113

Cited by: 104

Related to: 10