2 citations · 3 across the 2 of their papers we have counts for
2 papers
physics.chem-ph2023★ 2 cited
A study of simulating Raman spectra for alkanes with a machine learning-based polarizability model
Mandi Fang, Shi Tang, Zheyong Fan +3
Polarizability is closely related to many fundamental characteristics of molecular systems and plays an indispensable role in simulating the Raman spectra. However, the calculation…
physics.comp-ph2021★ 1 cited
Training Data Set Refinement for the Machine Learning Potential of Li-Si Alloys via Structural Similarity Analysis
Nan Xu, Chen Li, Mandi Fang +4
Machine learning potential enables molecular dynamics simulations of systems beyond the capability of classical force fields. The traditional approach to develop structural sets fo…