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A proposal for implementing a new architecture family, SO3krate and SO3lr, as internal FFs.
Article:
Kabylda, A., Frank, J. T., Dou, S. S., Khabibrakhmanov, A., Sandonas, L. M., Unke, O. T., ... & Tkatchenko, A. (2024). Molecular Simulations with a Pretrained Neural Network and Universal Pairwise Force Fields. link
Frank, J. T., Unke, O. T., Müller, K. R., & Chmiela, S. (2024). A Euclidean transformer for fast and stable machine learned force fields. Nature Communications, 15(1), 6539. link
Frank, T., Unke, O., & Müller, K. R. (2022). So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems. Advances in Neural Information Processing Systems, 35, 29400-29413. link
GEMS bottom-up (gas-phase and explicitly micro-solvated protein fragments, structures with gas-phase water clusters): force and dipole error
AcAla3NMe, AT-AT, Stachyose: force, dipole and hirshfield ratio error
AcAla15NMe, Crambin top-down (fragments): force error
Distribution of CV of AcAla3NMe and Stachyose
Secondary structures analysis of AcAla15NMe
Hydrogen bond analysis of AcAla15LysH+
Power spectrum of Crambin
RMSD of Crambin, and protein and carbohydrate segment of glycoprotein
Tail group NMR order parameters, area per lipid, bilayer thicknesses and electronic density of POPC Lipid Bilayer
SO3krate:
Energy and force error of Ac-Ala3-NHMe, Stachyose, AT-AT, and AT-AT-CG-CG
Distribution of the radius of gyration (ROG) and Ramachandran density plots for Ac-Ala3-NHMe
Dynamics of Ala15
Other highlights: SO3krate reduces the scaling index w.r.t L (the highest angular momentum) in message passing and is expected to be more efficient than other SE(3)-equivariant architectures. SO3lr added the physical priors and long-range awareness in SpookyNet to SO3krate.
Notice: the official repos are written in JAX.
The text was updated successfully, but these errors were encountered:
A proposal for implementing a new architecture family, SO3krate and SO3lr, as internal FFs.
Article:
Code repository:
Performance on biochemistry:
Other highlights: SO3krate reduces the scaling index w.r.t L (the highest angular momentum) in message passing and is expected to be more efficient than other SE(3)-equivariant architectures. SO3lr added the physical priors and long-range awareness in SpookyNet to SO3krate.
Notice: the official repos are written in JAX.
The text was updated successfully, but these errors were encountered: