1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Training deep physical neural networks with local physical information bottleneck
Hao Wang, Ziao Wang, Xiangpeng Liang +8
Deep learning has revolutionized modern society but faces growing energy and latency constraints. Deep physical neural networks (PNNs) are interconnected computing systems that dir…
physics.app-ph2023★ 1 cited
Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory
Yahong Chai, Yuhan Liang, Cancheng Xiao +19
Magnons, bosonic quasiparticles carrying angular momentum, can flow through insulators for information transmission with minimal power dissipation. However, it remains challenging…
cond-mat.mtrl-sci2022
Acoustic-Driven Magnetic Skyrmion Motion
Yang Yang, Le Zhao, Di Yi +10
Magnetic skyrmions have great potential for developing novel spintronic devices. The electrical manipulation of skyrmions has mainly relied on current-induced spin-orbit torques. A…