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E(3) equivariant graph neural network
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e-3-equivariant-graph-neural-network-ed897a41·1 events·first seen 1mo agoAliases: E(3) equivariant graph neural network
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Universal Magnetic Structure Prediction from Atomic Coordinates with Near-Experimental Accuracy
The paper introduces MSN (Magnetic Structure Network), an E(3) equivariant graph neural network that predicts collinear and non-collinear magnetic structures directly from atomic crystal coordinates. Trained on experimentally determined structures from the MAGNDATA database, it uses a novel Primitive Modulated Structure Representation (PMSR) to handle both commensurate and incommensurate magnetic orders in a unified framework without symmetry assumptions. The model achieves near-experimental accuracy across diverse magnetic structure types, offering a scalable alternative to costly experiments and computationally demanding first-principles methods for magnetic materials discovery.