Deep learning×Optoelectronics

The Frontier Brief for this collision is still being written. The evidence below already reflects the current model run.

Pre-company space. No named players have staked this collision yet — an emerging pairing where the field, not a firm, is the story so far.

49 researchers publish on both sides of this collision without the fields themselves having met. Every name below is counted from papers in the corpus — not inferred.

• Qiangfei XiaPolitecnico di Milano
  2/6
• J. Joshua YangUnidades Centrales Científico-Técnicas
  2/4
• Can LiUniversity of Pittsburgh
  1/4
• Dirk EnglundPalacký University Olomouc
  1/4
• Hao JiangCenter for Functional Nanomaterials
  1/4
• Alexandra E. BoltassevaDrexel University
  1/4
• Peng LinMaterial Measurement Laboratory
  1/4
• Yuchao YangSandia National Laboratories
  2/2
• Daniele IelminiInstitut de Microelectrònica de Barcelona
  2/2
• Thomas MikolajickUniversity of California, Santa Barbara
  1/3

• Chinese Academy of SciencesCN
  49/348
• Stanford UniversityUS
  72/186
• Nanyang Technological UniversitySG
  45/178
• Massachusetts Institute of TechnologyUS
  41/162
• University of CambridgeGB
  39/111
• Tsinghua UniversityCN
  41/95

• TensorFlow: a system for large-scale machine learning2016 · 6,195 citations · DOI ↗
  2
• Fully hardware-implemented memristor convolutional neural network2020 · 2,183 citations · DOI ↗
  2
• Fano resonances in photonics2017 · 1,986 citations · DOI ↗
  2
• Solid-state single-photon emitters2016 · 1,794 citations · DOI ↗
  2

Counted from the corpus. Institution counts use best-effort affiliation (every author on a paper is paired with every institution on it), so read them as presence, not headcount.