Unleashing the power of AI in science-key considerations for materials data preparation
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.
Authors
- Siqi Shi (ORCID: https://orcid.org/0000-0001-8988-9763)
- Ning Yu (ORCID: https://orcid.org/0000-0002-6532-3770)
- Hang Su (ORCID: https://orcid.org/0000-0003-4072-2529)
- Yongchao Lu
- Lanting Zhang (ORCID: https://orcid.org/0000-0003-2547-1952)
- Hong Wang (ORCID: https://orcid.org/0000-0002-2762-0950)
Institutions
- Shanghai University (CN)
- Shanghai Jiao Tong University (CN)
- China Iron and Steel Research Institute Group (CN)
Publication Details
- Journal
- Scientific Data
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1038/s41597-024-03821-z
- Citations
- 12
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 1.41