Work

Data-driven prediction of insulation properties in dielectric composites by machine learning

Year: 2025

Type: article

Source: Journal of Physics D Applied Physics

DOI: 10.1088/1361-6463/add020

Authors: Kai-xuan Sun, Wenqi Zhang, Peisen Hao, Fang-cheng Lü, Si-di Fan

Institutions: North China Electric Power University, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources

Language: English

Topic: High voltage insulation and dielectric phenomena

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources

Awards: G4473677628, G8514206944

OpenAlex ID: W4409741249

FWCI: 0.424

Cites: 39

Cited by: 2

Related to: 10