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Preprint Oct 2026

Accuracy of Vibrational Properties of Machine-Learning Force Fields for Molecular Crystal Transformations

Machine-learning force fields (MLFFs) enable the calculation of transformation pathways in molecular crystals at a fraction of the computational cost of density functional theory (DFT). However, a good agreement in energies and structures does not necessarily imply an accurate description of vibrational properties, whi...

N. Goncharova, Oskar Schweighofer, J. Hoja · 0 citations

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