Year: 2026
Type: article
Abstract: Néel Tensor Torque In their Research Article (DOI: 10.1002/adma.202506462), Chih-Huang Lai, Hsiu-Hau Lin, Chao-Yao Yang, and co-workers present the discovery of the Néel tensor torque, a new symmetry-breaking mechanism arising from statistical spin correlations in polycrystalline antiferromagnets. The colorful tensor surface represents the Néel tensor extracted through machine-learning analysis, which governs field-free spin-orbit-torque switching in ferromagnet/antiferromagnet heterostructures. This finding establishes a reconfigurable and trainable magnetic memory platform bridging spintronics and artificial intelligence.
Source: Advanced Materials
DOI: 10.1002/adma.72258
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7128800642
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