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12 Interatomic potentials for classical molecular dynamics and Monte Carlo simulations
Convenient and efficient development of Machine Learning Interatomic Potentials
Dr. Volker Deringer (Oxford) --- Machine-learned interatomic potentials for materials chemistry
nanoHUB-U Atoms to Materials L5.4: Reactive Interatomic Potentials
Dr. Andrew Rappe - Developing First-Principles Methods to Study Force and Stress Enabled Mechanochem
Learning Uniformly Accurate Interatomic Potentials from Scratch
Let's Talk Research Episode 3: Machine-learned interatomic potentials (MLIPs)
Justin Smith - The state of neural network interatomic potentials - IPAM at UCLA
Machine Learning Interatomic Potential Development with MAML
Lecture 7: Interatomic Potentials
nanoHUB-U Atoms to Materials L3.3: Interatomic Potentials for Molecular Materials
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Last Updated: August 18, 2026
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