Work

Physics-Informed Neural Networks for Parametric Modeling of Permanent Magnet Synchronous Machines

Year: 2025

Type: article

Source: IEEE Transactions on Energy Conversion

DOI: 10.1109/tec.2025.3597814

Authors: Andrés Beltrán-Pulido, Dionysios Aliprantis, Ilias Bilionis, Alfredo R. Munoz, Nicholas Chase

Institutions: Purdue University West Lafayette, Ford Motor Company (United States)

Language: English

Topic: Electric Motor Design and Analysis

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: Ford Motor Company

OpenAlex ID: W4413104907

FWCI: 1.155

Cites: 37

Cited by: 5

Related to: 10