Symmetry-guided graph neural networks trained on 200 structures screen 100,000+ iTMD configurations to identify 55 antiferromagnetic spintronics candidates with d-wave altermagnetism or giant T-odd spin Edelstein effects.
Gao,et al., AI-accelerated Discovery of Altermagnetic Materials.Natl
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Machine learning models that respect material symmetries are accelerating the identification of topological phases and the discovery of d-wave, g-wave, and i-wave altermagnets in quantum materials.
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Symmetry-guided and AI-accelerated design of intercalated transition metal dichalcogenides for antiferromagnetic spintronics
Symmetry-guided graph neural networks trained on 200 structures screen 100,000+ iTMD configurations to identify 55 antiferromagnetic spintronics candidates with d-wave altermagnetism or giant T-odd spin Edelstein effects.
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Machine Learning and Deep Learning in Quantum Materials: Symmetry, Topology, and the Rise of Altermagnets
Machine learning models that respect material symmetries are accelerating the identification of topological phases and the discovery of d-wave, g-wave, and i-wave altermagnets in quantum materials.