Work

Prediction of the elastic properties and electrical resistance of halide glass based on interpretable machine learning

Year: 2025

Type: article

Source: Journal of Materials Chemistry C

DOI: 10.1039/d5tc03267a

Authors: Jiayang Zhou, Xiangfu Wang

Institution: Nanjing University of Posts and Telecommunications

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G212912555

OpenAlex ID: W4416020089

FWCI: 0.208

Cites: 76

Cited by: 1

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