Work

Deep Autoencoders for Physics-Constrained Data-Driven Nonlinear Materials Modeling

Year: 2020

Type: other

DOI: 10.26226/morressier.5f5f8e69aa777f8ba5bd6037

Author: Xiaolong He

Institution: University of California San Diego

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, U.S. Department of Energy, Battelle, University of California, San Diego, Pacific Northwest National Laboratory

Awards: G125460123, G138090931, G1899721271, G2506945562, G2510423872, G2988778103, G391136020, G5321382714, G5653134238, G5726405315, SHF: Medium: Closing Multiphysics Analysis Gaps in System Design, G7560550554

OpenAlex ID: W4233551430

Cites: 60

Cited by: 4

Related to: 10