A Graph‐Based Machine Learning Framework to Assign Empirical Interaction Parameters for Novel Molecules
Molecular dynamics (MD) simulations of novel molecules are essential to modern drug discovery and related fields that require large‐scale sampling of chemical space. However, obtaining accurate and robust force field parameters for novel molecules remains a major challenge. One approach to this problem is to perform qu...