Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware for information processing, capable of highly sophisticated tasks. Systems built with standard …
Y Han, M He, J Hu, P Liu, Z Liu, Z Ma, W Ju, J Gu - Nano Research, 2023 - Springer
Microwave absorbing materials (MAMs) has been intensively investigated in order to meet the requirement of electromagnetic radiation control, especially in S and C band. In this …
AV Chumak, P Kabos, M Wu, C Abert… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Magnonics addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency …
J Tang, Y Wu, W Wang, L Kong, B Lv, W Wei… - Nature …, 2021 - nature.com
Topological charge Q classifies non-trivial spin textures and determines many of their characteristics. Most abundant are topological textures with| Q|≤ 1, such as (anti) …
Spin-based logic architectures provide nonvolatile data retention, near-zero leakage, and scalability, extending the technology roadmap beyond complementary metal–oxide …
Room-temperature skyrmions in ferromagnetic films and multilayers show promise for encoding information bits in new computing technologies. Despite recent progress …
Magnetic skyrmions and hopfions are topological solitons—well-localized field configurations that have gained considerable attention over the past decade owing to their …
This paper provides a tutorial overview over recent vigorous efforts to develop computing systems based on spin waves instead of charges and voltages. Spin-wave computing can …
Strongly interacting artificial spin systems are moving beyond mimicking naturally occurring materials to emerge as versatile functional platforms, from reconfigurable magnonics to …