Exact Equivariance from Ordinary Neural Networks for Lattice Many-Body Dynamics
cond-mat.str-el, physics.comp-ph
Submitted: 2026-09-22
Updated: 2026-09-22
Comments: 11 pages, 6 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems
- Group Equivariant Convolutional Networks
- A General Theory of Equivariant CNNs on Homogeneous Spaces
- Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
- 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
- e3nn: Euclidean Neural Networks
- MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
- Frame Averaging for Invariant and Equivariant Network Design
- Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
- Equivariant and Invariant Reynolds Networks
- SELTO: Sample-Efficient Learned Topology Optimization
- FAENet: Frame Averaging Equivariant GNN for Materials Modeling
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