MultiXC-QM9:

Surajit Nandi1, Tejs Vegge1, Arghya Bhowmik2

  • 1Department of Energy Conversion and Storage, Technical University of Denmark, Anker Engelunds Vej 301, 2800 Kongens Lyngby, Copenhagen, Denmark.

Scientific data
|November 8, 2023
PubMed
概括

这项研究为QM9数据库引入了一个新的分子能量数据集,该数据集使用76个DFT函数和3个基础集进行计算. 它还为数以百万计的反应提供反应能量和键变化,帮助分子机器学习 (ML) 的发展.

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