Universal Machine Learning Potentials Break Dimensional Barriers in Materials Science (IMAGE)

Songshan Lake Materials Laboratory

Universal Machine Learning Potentials Break Dimensional Barriers in Materials Science

Caption

The 40,000 entries of the 0123D test set.

Credit

Benedini et al, AI for Science (2025).

Usage Restrictions

Credit must be given to the creator.

License

CC BY

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