Magnon scattering modulated by omnidirectional hopfion motion in antiferromagnets for meta-learning.

The article presents a neural network based on magnon scattering modulated by an omnidirectional mobile hopfion in antiferromagnets, including the connections between neurons are related to the frequency dependence of magnon scattering, which allows for high connection density and meta-learning. It also mentions that the proposed design could break the connection density bottleneck in neuromorphic computing and provide a guideline for future design.