已发表成果:
WOK 论文 47 篇;其它论文 1 篇;图书及章节 2 本;
Molecular Quantum Chemical Data Sets and Databases for Machine Learning Potentials
A simple approach to rotationally invariant machine learning of a vector quantity
MLatom Software Ecosystem for Surface Hopping Dynamics in Python with Quantum Mechanical and Machine Learning Methods
Physics-Informed Neural Networks and Beyond: Enforcing Physical Constraints in Quantum Dissipative Dynamics
Physics-informed active learning for accelerating quantum chemical simulations
Tell Machine Learning Potentials What They Are Needed For: Simulation-Oriented Training Exemplified for Glycine
MLatom software ecosystem for surface hopping dynamics in Python with quantum mechanical and machine learning methods
Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine
Modern semiempirical electronic structure methods
MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows
AI-enhanced on-the-fly simulation of nonlinear time-resolved spectra
MLQD: A package for machine learning-based quantum dissipative dynamics
Artificial-Intelligence-Enhanced On-the-Fly Simulation of Nonlinear Time-Resolved Spectra
AI in computational chemistry through the lens of a decade-long journey