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cond-mat.mtrl-sci2025
A practical guide to machine learning interatomic potentials -- Status and future
Ryan Jacobs, Dane Morgan, Siamak Attarian +27
The rapid development and large body of literature on machine learning interatomic potentials (MLIPs) can make it difficult to know how to proceed for researchers who are not exper…
cond-mat.mtrl-sci2024
Data-efficient fine-tuning of foundational models for first-principles quality sublimation enthalpies
Harveen Kaur, Flaviano Della Pia, Ilyes Batatia +6
Calculating sublimation enthalpies of molecular crystal polymorphs is relevant to a wide range of technological applications. However, predicting these quantities at first-principl…