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Wenbin Wang

4 papers hereh-index 315 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci2
  • cond-mat.dis-nn1
  • physics.app-ph1
same name
  • Wenbin Wang — 4 papers, h 5
  • Wenbin Wang — 3 papers, h 2
  • Wenbin Wang — 2 papers, h 2
  • Wenbin Wang — 1 paper, h 0
  • Wenbin Wang — 1 paper, h 0
  • Wenbin Wang — 1 paper, h 18

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cond-mat.mtrl-sci2026

Persistent Interfacial Topological Hall Effect Demonstrating Electrical Readout of Topological Spin Structures in Insulators

Jing Li, Huilin Lai, Andrew H. Comstock +12

Conventional topological Hall effects (THE) require conducting magnets, leaving insulating systems largely inaccessible. Here we introduce the interfacial topological Hall effect (…

cond-mat.mtrl-sci2025

Unexpected large electrostatic gating by pyroelectric charge accumulation

Yicheng Mou, Qi Liu, Jiaqi Liu +10

Pyroelectricity refers to the accumulation of charges due to changes in the spontaneous polarization of ferroelectric materials when subjected to temperature variations. Typically,…

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…

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