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Weichao Yu

8 papers hereh-index 573 citations16 works total

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

author position
  • first author1
  • middle author4
  • last author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cond-mat.mes-hall3
  • physics.app-ph2
  • cond-mat.dis-nn1
  • cond-mat.mtrl-sci1
  • cond-mat.supr-con1
same name
  • Weichao Yu — 16 papers, h 41
  • Weichao Yu — 1 paper

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

activity
20242026
most citedPhysical Neural Networks with Self-Learning Capabilities

9 citations · 19 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

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…

cond-mat.mtrl-sci2024

Magnetostatic effect on spin dynamics properties in antiferromagnetic Van der Waals material CrSBr

Hongyue Xu, Nan Jiang, Haoran Chen +11

Van der Waals (vdW) antiferromagnets are exceptional platforms for exploring the spin dynamics of antiferromagnetic materials owing to their weak interlayer exchange coupling. In t…

cond-mat.mes-hall2024

Frequency modulation on magnons in synthetic dimensions

Meng Xu, Yan Chen, Weichao Yu

Magnons are promising candidates for next-generation computing architectures, offering the ability to manipulate their amplitude and phase for information encoding. However, the fr…

physics.app-ph2024★ 9 cited

Physical Neural Networks with Self-Learning Capabilities

Weichao Yu, Hangwen Guo, Jiang Xiao +1

Physical neural networks are artificial neural networks that mimic synapses and neurons using physical systems or materials. These networks harness the distinctive characteristics…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.