Work

Theory-training deep neural networks for an alloy solidification benchmark problem

Year: 2020

Type: article

Source: Computational Materials Science

DOI: 10.1016/j.commatsci.2020.109687

Authors: M. Torabi Rad, A. Viardin, G.J. Schmitz, M. Apel

Institution: Access

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft

Awards: G69884316, EXC 2023: Internet of Production (IoP)

OpenAlex ID: W3017674692

FWCI: 2.116

Cites: 55

Cited by: 39

Related to: 10