The Journal of chemical physics
Machine-learning-enhanced density functional theory calculations.
Yalun Zheng, Yang Zhou, Yiling Zhu, Yuan Zhuang, ChiYung Yam, Zi-Hao Chen, Zipeng An, Xiao Zheng, Ziyang Hu, GuanHua Chen
Published: 202510.1063/5.0295366
Abstract
Machine learning has been widely applied to improve accuracy in computational chemistry. Here, we present a simple yet efficient machine-learning post-correction model that can calibrate the total energy from density functional theory's (DFT) value t…
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