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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.
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.
ORB forcefield models from Orbital Materials. Contribute to orbital-materials/orb-models development by creating an account on GitHub.
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.
Orb is Orbital Materials’ AI-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.
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.
In this paper, we compare the performance of three different image matching techniques, i.e., SIFT, SURF, and ORB, against different kinds of transformations and deformations such as scaling, rotation, noise, fish eye distortion, and shearing.
