Deringer, Volker L.

A foundation model for atomistic materials chemistry

Batatia, I., Benner, P., Chiang, Y., Elena, A. M., Kovács, D. P., Riebesell, J., Advincula, X. R., Asta, M., Avaylon, M., Baldwin, W. J., et al. (2024) · arXiv

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

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Combining phonon accuracy with high transferability in Gaussian approximation potential models

George, J., Hautier, G., Bartók, A. P., Csányi, G., & Deringer, V. L. (2020) · The Journal of Chemical Physics

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

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When can we trust structural models derived from pair distribution function measurements?

Maffettone, P. M., Fletcher, W. J. K., Nicholas, T. C., Deringer, V. L., Allison, J. R., Smith, L. J., & Goodwin, A. L. (2025) · Faraday Discussions

X-ray Diffraction in CrystallographyMachine Learning in Materials Science

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