Charge disproportionation stabilizes the monoclinic semiconducting state in Fe₂PO₅ and enables its room-temperature d-wave altermagnetism.
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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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Key Role of Charge Disproportionation in Monoclinic Semiconducting Fe$_2$PO$_5$, a Room-Temperature d-Wave Altermagnet Candidate
Charge disproportionation stabilizes the monoclinic semiconducting state in Fe₂PO₅ and enables its room-temperature d-wave altermagnetism.
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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.