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Dr. Volker Deringer (Oxford) --- Machine-learned interatomic potentials for materials chemistry
Angular relational knowledge distillation of ML interatomic potentials I LeMaterial Reading Group
Lec 40 Introduction to machine learned potentials
Lecture 7: Interatomic Potentials
Daniel Schwalbe Koda: Machine learning for interatomic potentials
2022-12-05 PRML - Latent Variables, EM, kmeans
Lecture 06, concept 13: Examples of systems & timescales to target
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks
IFML Seminar: Clustering Mixtures with Almost Optimal Separation in Polynomial Time
A Short Introduction to Entropy, Cross-Entropy and KL-Divergence
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Last Updated: August 18, 2026
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