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Lecture 7: Interatomic Potentials
Interatomic potential
Interatomic Forces & Energy Curves {Texas A&M: Intro to Materials}
Christoph Ortner - Modelling Atomic Properties with the Atomic Cluster Expansion - IPAM at UCLA
Interatomic Potentials - Developing Effective Communication 2
Convenient and efficient development of Machine Learning Interatomic Potentials
Machine Learning Interatomic Potential Development with MAML
Dr. Andrew Rappe - Developing First-Principles Methods to Study Force and Stress Enabled Mechanochem
nanoHUB-U Atoms to Materials L5.4: Reactive Interatomic Potentials
Dr. Volker Deringer (Oxford) --- Machine-learned interatomic potentials for materials chemistry
nanoHUB-U Atoms to Materials L3.3: Interatomic Potentials for Molecular Materials
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Last Updated: September 30, 2026
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Speaker: Gabor CSANYI (University of Cambridge, U.K.) 19th International Workshop on Computational Physics and Material ... This video provides an intro to molecular dynamics (MD) simulations, then goes into detail about the evolution of Thomas Young Centre Materials Modelling Course: 12 Explains equations that describe the This lecture covers an specific challenge with large importance to atomic-scale modeling: predicting the energy of a system of ... Tutorial illustrating the significance of Recorded 29 March 2022. Christoph Ortner of the University of British Columbia presents "Modelling Atomic Properties with the ... 2021.01.27 Yunxing Zuo, University of California, San Diego This video is part of NCN's Hands-on Data Science and Machine ... In this talk at NanoHUB's Hands-on Data Science and Machine Learning Training Series, Yunxing Zuo from the Materials Virtual ... A wide variety of chemical transformations can be induced by the application of force or stress to reactive systems. In some cases ... Table of Contents: 00:09 Lecture 5.4: Reactive 12 February, 2026 15:00 (local Swedish time) Machine-learned
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