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Jian Shen

4 papers hereh-index 9189 citations31 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cond-mat.mtrl-sci3
  • cond-mat.dis-nn1
same name
  • Jian Shen — 5 papers, h 5
  • Jian Shen — 4 papers, h 1
  • Jian Shen — 2 papers, h 3
  • Jian Shen — 1 paper, h 1
  • Jian Shen — 1 paper, h 0
  • Jian Shen — 1 paper, h 4

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

Rewritable Complementary Nanoelectronics Enabled by Electron-Beam Programmable Ambipolar Doping

Qing Lan, Wenqing Song, Siyin Zhu +13

The ability to reversibly and site-selectively tune ambipolar doping in a single semiconductor is crucial for reconfigurable electronics beyond silicon, but remains highly challeng…

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,…

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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