A smooth basis for atomistic machine learning

5 September 2022

Papers citing "A smooth basis for atomistic machine learning"

6 / 6 papers shown

Title
Cartesian atomic cluster expansion for machine learning interatomic potentials Bingqing Cheng 42 30 0 12 Feb 2024
Smooth, exact rotational symmetrization for deep learning on point clouds Sergey Pozdnyakov Michele Ceriotti 3DPC 37 25 0 30 May 2023
Wigner kernels: body-ordered equivariant machine learning without a basis Filippo Bigi Sergey Pozdnyakov Michele Ceriotti 32 15 0 07 Mar 2023
Completeness of Atomic Structure Representations M. J. Willatt Sergey Pozdnyakov Christoph Ortner Michele Ceriotti 20 12 0 28 Feb 2023
The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials Ilyes Batatia Simon L. Batzner D. P. Kovács Albert Musaelian G. Simm R. Drautz Christoph Ortner Boris Kozinsky Gábor Csányi 32 133 0 13 May 2022
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 215 1,240 0 08 Jan 2021