F. Fňukal

The use of machine learning interatomic potentials for the verification of experimental molecular crystal structures.

This study detected anomalies in experimental structures that had already passed all prior validation, as well as limitations in the reliability of the MLIP PES calculations, and similarity descriptors were calculated to quantify the differences between the original and optimized structures.