most citedA self-learning magnetic Hopfield neural network with intrinsic gradient descent adaption

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.dis-nn2025★ 2 cited

A self-learning magnetic Hopfield neural network with intrinsic gradient descent adaption

Chang Niu, Huanyu Zhang, Chuanlong Xu +14

Physical neural networks using physical materials and devices to mimic synapses and neurons offer an energy-efficient way to implement artificial neural networks. Yet, training phy…

cond-mat.supr-con2024

Probing disorder-induced time-reversal symmetry breaking in Josephson junctions

Yu Wu, Daiqiang Huang, Huanyu Zhang +13

The relation between superconductivity and time-reversal symmetry (TRS) is one of the most fascinating problems in condensed matter physics. Although most superconductors inherentl…