Ningxin Tan

Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential

Harnessing machine learning to find synergistic combinations for FDA-approved cancer drugs

Reactive molecular dynamics simulation and chemical kinetic modeling of pyrolysis and combustion of n-dodecane

Prediction of HIV‐1 Protease Inhibitors Using Machine Learning Approaches