Materials Futures (Jan 2024)

Recent breakthrough in AI-driven materials science: tech giants introduce groundbreaking models

Miao Liu,
Sheng Meng

Affiliations

Miao Liu: ORCiD; Institute of Physics, Chinese Academy of Sciences , Beijing 100190, People’s Republic of China; Songshan Lake Materials Laboratory , Dongguan, Guangdong 523808, People’s Republic of China
Sheng Meng: Institute of Physics, Chinese Academy of Sciences , Beijing 100190, People’s Republic of China; Songshan Lake Materials Laboratory , Dongguan, Guangdong 523808, People’s Republic of China

DOI: https://doi.org/10.1088/2752-5724/ad2e0c
Journal volume & issue: Vol. 3, no. 2
p. 027501

Abstract

A close look at Google’s GNoME inorganic materials dataset (Merchant et al 2023 Nature 624 80–85), and 11 things you would like to know.

Published in Materials Futures

ISSN: 2752-5724 (Online)
Publisher: IOP Publishing
Country of publisher: United Kingdom
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
Website: https://iopscience.iop.org/journal/2752-5724

About the journal