Artificial neural network×Microfluidics

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.

21 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.

• Arnan MitchellState Key Laboratory of Information Photonics and Optical Communications
  2/1
• Xinran WangState Key Laboratory of ASIC and System
  2/1
• George G. MalliarasRIKEN Center for Emergent Matter Science
  2/1
• Feng GuoIndiana University
  1/2
• Tan HuangInstitute of High Performance Computing
  1/1
• J. SenthilnathInstitute of Materials Research and Engineering
  1/1
• Jiaxun XieAgency for Science, Technology and Research
  1/1
• Siyu Isaac Parker TianNational University of Singapore
  1/1
• Kedar HippalgaonkarMolecular Foundry
  1/1
• Wai Kuan WongMassachusetts Institute of Technology
  1/1

• Massachusetts Institute of TechnologyUS
  102/62
• Chinese Academy of SciencesCN
  114/39
• Stanford UniversityUS
  133/30
• Harvard UniversityUS
  45/82
• Tsinghua UniversityCN
  81/42
• Shanghai Jiao Tong UniversityCN
  63/41

• Photonics for artificial intelligence and neuromorphic computing2021 · 1,738 citations · DOI ↗
  2
• PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning2022 · 642 citations · DOI ↗
  2
• Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit2021 · 641 citations · DOI ↗
  2
• Deep neural networks for the evaluation and design of photonic devices2020 · 551 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.