Can Recent Machine Learning Interatomic Potentials Reliably Predict Sur- face Stability? (IMAGE)

Songshan Lake Materials Laboratory

Can Recent Machine Learning Interatomic Potentials Reliably Predict Sur- face Stability?

Caption

 illustrating the comprehensive zero-shot benchmark of 19 universal machine learning interatomic potentials and the dominant impact of training data composition for surface energy prediction.

Credit

Ardavan Mehdizadeh and Peter Schindler from Northeastern University.

Usage Restrictions

Credit must be given to the creator.

License

CC BY

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