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  1. Pretrained models. We provide several pretrained models that can be used to calculate energies, forces & stresses of atomic systems. All models are provided in the orb_models.forcefield.pretrained module. orb-v1 - trained on MPTraj + Alexandria.

  2. Orb is Orbital MaterialsAI-based universal interatomic potential, designed for simulating advanced materials at scale. It achieves state of the art performance in terms of both speed and accuracy relative to other AI-based interatomic potentials.

  3. Today we’ve open-sourced ‘Orb’, the state of the art AI model for simulating advanced materials. Built upon our proprietary foundation model (LINUS), Orb outcompetes models from Google and Microsoft on accuracy and speed.

  4. We provide several pretrained models that can be used to calculate energies and forces of atomic systems. All models are provided in the orb_models.forcefield.pretrained module. orb-v1 - The main model, trained on the full dataset.

  5. We provide several pretrained models that can be used to calculate energies, forces & stresses of atomic systems. All models are provided in the orb_models.forcefield.pretrained module.

  6. pypi.org › project › orb-modelsorb-models · PyPI

    4 dni temu · To load the v1 models, please install the v0.3.2 version of orb-models. Sept 2024: v1 models released - state of the art performance on the matbench discovery dataset. Pretrained models. We provide several pretrained models that can be used to calculate energies, forces & stresses of atomic systems.

  7. 6 wrz 2024 · For those who might be interested, I was able to get the recently released Orbital Materials pretrained potential models running in LAMMPS via python wrapping . There’s no performance boost but it exposes the fix and compute features that are missing from the ASE.

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