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Machine Learned Interatomic Potentials Information Guide

  1. Overview on Machine Learned Interatomic Potentials
  2. Key Details
  3. History
  4. Full Guide
  5. Final Thoughts

Overview on Machine Learned Interatomic Potentials

Details Let's Talk Research Episode 3: Machine-learned interatomic potentials (MLIPs) News
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Key Details

Details ML Meets Molecular Dynamics: A Crash Course in ML Interatomic Potentials News
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History

Daniel Schwalbe Koda: Machine learning for interatomic potentials News
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MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
[JC] Machine Learning Interatomic Potentials
[JC] Machine Learning Interatomic Potentials
Dr. Volker Deringer (Oxford) --- Machine-learned interatomic potentials for materials chemistry
Dr. Volker Deringer (Oxford) --- Machine-learned interatomic potentials for materials chemistry
Matlantis Webinar with MIT Professor Ju Li: Universal Machine Learning Interatomic Potential
Matlantis Webinar with MIT Professor Ju Li: Universal Machine Learning Interatomic Potential
Convenient and efficient development of Machine Learning Interatomic Potentials
Convenient and efficient development of Machine Learning Interatomic Potentials
Lec 41 Machine learned interatomic potentials (continued)
Lec 41 Machine learned interatomic potentials (continued)
Beyond Interatomic Potentials - Further Acceleration of Atomic-Scale SImulations
Beyond Interatomic Potentials - Further Acceleration of Atomic-Scale SImulations
Tibor Szilvasi: Enabling the Heterogeneous Catalysis Using ML Interatomic Potentials
Tibor Szilvasi: Enabling the Heterogeneous Catalysis Using ML Interatomic Potentials
Angular relational knowledge distillation of ML interatomic potentials I LeMaterial Reading Group
Angular relational knowledge distillation of ML interatomic potentials I LeMaterial Reading Group
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks
Lec 40 Introduction to machine learned potentials
Lec 40 Introduction to machine learned potentials

Full Guide

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Last Updated: August 17, 2026

Final Thoughts

Full Lec 43 Machine learned interatomic potentials hands on Update
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