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Design and Analysis of Electric Machines Assisted by Scientific Machine Learning

Year: 2024

Type: conference-paper

Source: Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

DOI: 10.1109/iecon55916.2024.10905695

Authors: Peng Han, Jingchen Liang, Pavani Gottipati, Mark Solveson

Institution: Ansys (United States)

Language: English

Topic: Electric Motor Design and Analysis

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4408282182

FWCI:

Cites: 20

Cited by:

Related to: 10