量子化学数据生成作为填充,以提高机器学习反应和逆合成规划的可靠性

Alessandra Toniato1,2,3,4, Jan P Unsleber1,2, Alain C Vaucher3,4

  • 1Laboratory of Physical Chemistry, ETH Zurich Vladimir-Prelog-Weg 2 8093 Zurich Switzerland markus.reiher@phys.chem.ethz.ch.

Digital discovery
|June 14, 2023
PubMed
概括

人工智能增强化学合成计划使用实验数据. 第一原则计算可以提供缺失的数据来改善AI预测,证明自主数据生成的可行方法.

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