已发表成果:
WOK 论文 47 篇;其它论文 1 篇;图书及章节 2 本;
Ultra-Fast Semi-Empirical Quantum Chemistry for High-Throughput Computational Campaigns with Sparrow
Newton-X Platform: New Software Developments for Surface Hopping and Nuclear Ensembles
One-Shot Trajectory Learning of Open Quantum Systems Dynamics
A comparative study of different machine learning methods for dissipative quantum dynamics
Machine Learning for Designing Mixed Metal Halides for Efficient Ammonia Separation and Storage
Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics
VIB5 database with accurate ab initio quantum chemical molecular potential energy surfaces
Toward Chemical Accuracy in Predicting Enthalpies of Formation with General-Purpose Data-Driven Methods
Chapter 3 Pages 67-92, Chapter 8 Pages 183-204, Chapter 9 Pages 205-232,Chapter 13 Pages 295-312,Chapter 15 Pages 329-353,Chapter 20 Pages 467-488,Chapter 21 Pages 491-507,Chapter 24 Pages 559-575//Pavlo O. Dral.Quantum Chemistry in the Age of Machine Learning. (专著). Elsevier, 2022-09-23.