Unleashing the power of AI in science-key considerations for materials data preparation

Yongchao Lu; Hong Wang; Lanting Zhang; Ning Yu; Siqi Shi; Hang Su

doi:10.1038/s41597-024-03821-z

Scientific Data (Sep 2024)

Unleashing the power of AI in science-key considerations for materials data preparation

Yongchao Lu,
Hong Wang,
Lanting Zhang,
Ning Yu,
Siqi Shi,
Hang Su

Affiliations

Yongchao Lu: Materials Genome Initiative Center & School of Materials Science and Engineering, Shanghai Jiao Tong University
Hong Wang: Materials Genome Initiative Center & School of Materials Science and Engineering, Shanghai Jiao Tong University
Lanting Zhang: Materials Genome Initiative Center & School of Materials Science and Engineering, Shanghai Jiao Tong University
Ning Yu: Materials Genome Initiative Center & School of Materials Science and Engineering, Shanghai Jiao Tong University
Siqi Shi: Materials Genome Institute, Shanghai University
Hang Su: Material Digital R&D Center, China Iron and Steel Research Institute Group

DOI: https://doi.org/10.1038/s41597-024-03821-z
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 10

Abstract

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The release of ChatGPT has triggered global attention on artificial intelligence (AI), and AI for science is thus becoming a hot topic in the scientific community. When we think about unleashing the power of AI to accelerate scientific research, the question coming to our mind first is whether there is a continuous supply of highly available data at a sufficiently large scale.

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

About the journal