Work

Classical and quantum machine learning applications in spintronics

Year: 2023

Type: article

Abstract: Prediction of physical observables with machine learning for spintronic and molecular devices.

Source: Digital Discovery

DOI: 10.1039/d2dd00094f

Authors: Kumar J. B. Ghosh, Sumit Ghosh

Institutions: E.ON (Germany), Forschungszentrum Jülich, Johannes Gutenberg University Mainz

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4322749554

FWCI: 0.632

Cites: 46

Cited by: 9

Related to: 10