释放人工智能在科学中的力量——材料数据准备的关键考量
Unleashing the power of AI in science-key considerations for materials data preparation.
作者信息
Lu Yongchao, Wang Hong, Zhang Lanting, Yu Ning, Shi Siqi, Su Hang
机构信息
Materials Genome Initiative Center & School of Materials Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Materials Genome Institute, Shanghai University, Shanghai, 200444, China.
出版信息
Sci Data. 2024 Sep 27;11(1):1039. doi: 10.1038/s41597-024-03821-z.
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.
ChatGPT的发布引发了全球对人工智能（AI）的关注，因此，用于科学领域的AI正成为科学界的一个热门话题。当我们思考如何释放AI的力量以加速科学研究时，首先想到的问题是是否有持续的大规模高可用数据供应。
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