Artificial intelligence for search and discovery of quantum materials

Valentin Stanev; Kamal Choudhary; Aaron Gilad Kusne; Johnpierre Paglione; Ichiro Takeuchi

doi:10.1038/s43246-021-00209-z

Communications Materials (Oct 2021)

Artificial intelligence for search and discovery of quantum materials

Valentin Stanev,
Kamal Choudhary,
Aaron Gilad Kusne,
Johnpierre Paglione,
Ichiro Takeuchi

Affiliations

Valentin Stanev: Department of Materials Science and Engineering, University of Maryland
Kamal Choudhary: National Institute of Standards and Technology
Aaron Gilad Kusne: Department of Materials Science and Engineering, University of Maryland
Johnpierre Paglione: Maryland Quantum Materials Center, University of Maryland
Ichiro Takeuchi: Department of Materials Science and Engineering, University of Maryland

DOI: https://doi.org/10.1038/s43246-021-00209-z
Journal volume & issue: Vol. 2, no. 1
pp. 1 – 11

Abstract

Read online

Quantum materials host many exotic properties, which might be utilized for new electronic devices. Here, artificial intelligence for the discovery of quantum materials is discussed, covering both materials and property prediction, and high-throughput synthesis.

Published in Communications Materials

ISSN: 2662-4443 (Online)
Publisher: Nature Portfolio
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
Website: https://www.nature.com/commsmat/

About the journal