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  • ML Potentials, ParAMS, and Active Learning
    • ML Potentials in AMS
      • M3GNet Universal Potential: M3GNet-UP-2022
      • M3GNet Custom Model
      • NEB for Li diffusion in layered LiTiS2 (M3GNet)
    • ParAMS: Train your own ML, DFTB, ReaxFF
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    • Active Learning: Ru/H Case Study
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      • Active Learning: Li-Vacancy Diffusion NEB in LiTiS2
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  1. Documentation /
  2. Python Examples /
  3. ML Potentials, ParAMS, and Active Learning /
  4. ML Potentials in AMS

ML Potentials in AMS¶

These examples show how to run ML Potentials with AMS in “production simulation mode”.

  • M3GNet Universal Potential: M3GNet-UP-2022
  • M3GNet Custom Model
  • NEB for Li diffusion in layered LiTiS2 (M3GNet)

See also: Training with ParAMS and Active learning

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ML Potentials, ParAMS, and Active Learning
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