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Beijing Electronic Science and Technology Institute

China

6 papers here7 citations across 6
fields
  • physics.optics2
  • cs.CR1
  • cs.CV1
  • cs.LG1
  • physics.comp-ph1
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affiliations via OpenAlex

works on
axion detection 1light shining through wall 1optical trap 1photon-axion conversion 1tabletop experiments 1

From the 1 of 6 papers with an AI index.

most citedPriSrv: Privacy-Enhanced and Highly Usable Service Discovery in Wireless Communications

4 citations

researchers with a paper here
  • Beijing2 · h 8
  • Beijing University of Technology2 · h 5
  • China2 · h 2
  • Chunyu Zhang2 · h 0
  • Engineering2 · h 5
  • Xin‐Yu Fang2 · h 2
  • Baochang Zhang1 · h 3
  • C. C. O. Science1 · h 5
  • China AnalysisTesting Center1 · h 0
  • C. I. O. Physics1 · h 11
  • D. Expósito1 · h 1
  • Dongxu Zhao School of Medical Science1 · h 0
collaborating institutions
  • Beijing Institute of TechnologyCN4 papers
  • Beihang UniversityCN1 paper
  • Beijing Academy of Artificial IntelligenceCN1 paper
  • Communication University of ChinaCN1 paper
  • Ji Hua LaboratoryCN1 paper
  • Jinan UniversityCN1 paper
  • Ningbo Institute of Industrial TechnologyCN1 paper
  • Shandong UniversityCN1 paper
  • Singapore Management UniversitySG1 paper
  • Sun Yat-sen UniversityCN1 paper
  • University of OregonUS1 paper
  • Zhejiang Business Technology InstituteCN1 paper
Showing physics.comp-phShow all

1 paper · 1 filter

physics.comp-ph2026★ 2 cited

Discontinuity-aware KAN-based physics-informed neural networks

Guoqiang Lei, D. Exposito, Xuerui Mao

Physics-informed neural networks (PINNs) have proven to be a promising method for the rapid solving of partial differential equations (PDEs) in both forward and inverse problems. H…

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