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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 vibrati
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