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SMU Chemist, Colleagues Develop Machine Learning Model To Help Study Stardust and Atomic Interactions

by | Mar 14, 2024
The researchers developed a novel model called ANI-1xnr that's suitable for a broad range of reactive chemistry without costly refitting—a major drawback of the MLIPs currently in use, SMU said.
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