Physics-Informed Neural Networks for Solving Parametric Magnetostatic Problems
Author:
Affiliation:
1. Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
2. School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
Funder
Fulbright Commission in Colombia
Colombian Administrative Department of Science, Technology and Innovation–Colciencias
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/60/9970267/09788008.pdf?arnumber=9788008
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