ArticleScience advances2023
Magnon scattering modulated by omnidirectional hopfion motion in antiferromagnets for meta-learning.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Electrically writing a magnetic heliknoton in a chiral magnet.Nature materials · 2026Article
- Electric-Current-Assisted Nucleation of Zero-Field Hopfion Rings.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Dynamic realization of emergent high-dimensional optical vortices.Nature communications · 2025Article
- All-electrical perpendicular switching of chiral antiferromagnetic order.Nature materials · 2025Article
- Generation of out-of-plane polarized spin current by non-uniform oxygen octahedral tilt/rotation.Nature communications · 2024Article
- Orbitronics: light-induced orbital currents in Ni studied by terahertz emission experiments.Nature communications · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuromorphic computing is expected to achieve human-brain performance by reproducing the structure of biological neural systems. However, previous neuromorphic designs based on synapse devices are all unsatisfying for their hardwired network structure and limited connection density, far from their biological counterpart, which has high connection density and the ability of meta-learning. Here, we propose a neural network based on magnon scattering modulated by an omnidirectional mobile hopfion in antiferromagnets. The states of neurons are encoded in the frequency distribution of magnons, and the connections between them are related to the frequency dependence of magnon scattering. Last, by controlling the hopfion's state, we can modulate hyperparameters in our network and realize the first meta-learning device that is verified to be well functioning. It not only breaks the connection density bottleneck but also provides a guideline for future designs of neuromorphic devices.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.