872 citations · 2.9k across the 35 of their papers we have counts for
1 paper · 2 filters
Justin S. Smith, Ben Nebgen, Nicholas Lubbers +2
The development of accurate and transferable machine learning (ML) potentials for predicting molecular energetics is a challenging task. The process of data generation to train suc…