A machine learning potential for simulating infrared spectra of nanosilicate clusters

Zeyuan Tang, Stefan T. Bromley, Bjørk Hammer

The use of machine learning (ML) in chemical physics has enabled the construction of interatomic potentials having the accuracy of ab initio methods and a computational cost compar…