Data for manuscript: "Gradients not needed: ML-driven propagation of nonadiabatic molecular dynamics without reference gradients"
Abstract
Dataset containing ML-models as well as datasets described in the paper.Auxiliary data for CHD is split into 4 shards, due to the size of the dataset. The AIQM1/MRCI data for azobenzene is available at: https://github.com/dralgroup/al-namd
Fields of Study & Subjects
Machine Learning in Materials Science
Advanced Chemical Physics Studies
Advanced Physical and Chemical Molecular Interactions
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset