3 papers
cond-mat.mes-hall2025
Giant field-tunable nonlinear Hall effect by Lorentz skew scattering in a graphene moire superlattice
Pan He, Min Zhang, Yue-Xin Huang +13
The nonlinear Hall effect (NHE) can enable rectification and energy harvesting, and its control by external fields, including gate, strain and magnetic field, has been pursued inte…
physics.app-ph2025
Superior probabilistic computing using operationally stable probabilistic-bit constructed by manganite nanowire
Yadi Wang, Bin Chen, Wenping Gao +7
Probabilistic computing has emerged as a viable approach to treat optimization problems. To achieve superior computing performance, the key aspect during computation is massive sam…
cond-mat.dis-nn2025
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…