Work

An adaptive and stability-promoting layerwise training approach for sparse deep neural network architecture

Year: 2025

Type: article

Source: Computer Methods in Applied Mechanics and Engineering

DOI: 10.1016/j.cma.2025.117938

Authors: C.G. Krishnanunni, Tan Bui-Thanh

Institution: The University of Texas at Austin

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, U.S. Department of Energy

Awards: MUSIKAL: MULTIPHYSICS SIMULATIONS AND KNOWLEDGE DISCOVERY THROUGH AI/ML TECHNOLOGIES, TOKAMAK DISRUPTION SIMULATION

OpenAlex ID: W4409114581

FWCI: 0.42

Cites: 73

Cited by: 3

Related to: 10