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Machine learning in thermoelectric materials science

Year: 2023

Type: article

Abstract: The paper presents machine learning methods and their application in thermoelectric materials science. The results of their application, strong points and application areas are shown. The difficulties that arise in the process of predicting the properties of thermoelectric materials and ways to overcome them were taken into account. Bibl. 30, Fig. 1, Tabl. 2.

Source: Journal of Thermoelectricity

DOI: 10.63527/1607-8829-2023-1-44-54

Author: M.M. Korop

Institution: Institute of Thermoelectricity of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4409644636

FWCI: 0.137

Cites: 26

Cited by: 2

Related to: 10