collaborators

6 papers

physics.chem-ph2019

Diabatic Hamiltonian Construction in van der Waals heterostructure complexes

Yu Xie, Huijuan Sun, Qijing Zheng +3

A diabatization method is developed for the approximated description of the photoinduced charge separation/transfer processes in the van der Waals (vdW) heterostructure complex, wh…

physics.chem-ph2018

Initial Sampling in Symmetrical Quasiclassical Dynamics Based on Li-Miller Mapping Hamiltonian

Jie Zheng, Yu Xie, Sheng-shi Jiang +3

A symmetrical quasiclassical (SQC) dynamics approach based on the Li-Miller (LM) mapping Hamiltonian (SQC-LM) was employed to describe nonadiabatic dynamics. In principle, the diff…

physics.chem-ph2018

Performance of trajectory surface hopping method in the treatment of ultrafast intersystem crossing dynamics

Jiawei Peng, Yu Xie, Deping Hu +1

We carried out extensive studies to examine the performance of the fewest-switches surface hopping method in the description of the ultrafast intersystem crossing dynamic of variou…

physics.chem-ph2018

Analysis of Trajectory Similarity and Configuration Similarity in On-the-Fly Surface-Hopping Simulation on Multi-Channel Nonadiabatic Photoisomerization Dynamics

Xusong Li, Deping Hu, Yu Xie +1

We propose an 'automatic' approach to analyze the results of the on-the-fly trajectory surface hopping simulation on the multi-channel nonadiabatic photoisomerization dynamics by c…

physics.chem-ph2018

Performance Evaluation of the Symmetrical Quasi-Classical Dynamics Method based on Meyer-Miller Mapping Hamiltonian in the Treatment of Site-Exciton Models

Yu Xie, Jie Zheng, Zhenggang Lan

The symmetrical quasi-classical dynamics method based on the Meyer-Miller mapping Hamiltonian (MM-SQC) shows the great potential in the treatment of the nonadiabatic dynamics of co…

physics.chem-ph2018

Inclusion of machine learning kernel ridge regression potential energy surfaces in on-the-fly nonadiabatic molecular dynamics simulation

Deping Hu, Yu Xie, Xusong Li +2

We discuss a theoretical approach that employs machine learning potential energy surfaces (ML-PESs) in the nonadiabatic dynamics simulation of polyatomic systems by taking 6-aminop…