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Predicting new superconductors and their critical temperatures using machine learning

Year: 2020

Type: article

Source: Physica C Superconductivity

DOI: 10.1016/j.physc.2020.1353689

Authors: B. Roter, S.V. Dordevic

Institution: University of Akron

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3005735954

FWCI: 3.355

Cites: 30

Cited by: 73

Related to: 10