Open access
Aug 2026
Vibrational power spectra as a tool to benchmark universal machine-learning interatomic potentials for molecular systems: the OMOL-1k-MD data set
The GFN2-xTB semiempirical method performed better than all tested uMLIPs, proving the need for more off-equilibrium data in the parametrization of uMLIPs, where OMOL-1k-MD can be of high use.
Maximilian Bechtel, J. Steffen
· npj Computational Materials · 0 citations