Recurrent neural network×Nanotechnology

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.

11 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.

• Zhongrui WangInstitute for Basic Science
  1/7
• J. Joshua YangUnidades Centrales Científico-Técnicas
  1/6
• Mingyi RaoFudan University
  1/3
• Ye ZhuoUniversity of Nottingham Ningbo China
  1/2
• Ru HuangPeking University Shenzhen Hospital
  1/2
• Wenhao SongTexas A&M University
  1/2
• Yuchao YangFudan University
  1/2
• Ming–Hsuan YangShanghai University of Engineering Science
  1/1
• Jiadi ZhuShenzhen University
  1/1
• Hu LiuTsinghua University
  1/1

• Chinese Academy of SciencesCN
  31/524
• Tsinghua UniversityCN
  26/354
• Stanford UniversityUS
  20/360
• Nanyang Technological UniversitySG
  17/342
• Massachusetts Institute of TechnologyUS
  13/381
• University of California, BerkeleyUS
  23/185

• Bioink properties before, during and after 3D bioprinting2016 · 1,074 citations · DOI ↗
  2
• Multifunctional Mechanical Metamaterials Based on Triply Periodic Minimal Surface Lattices2019 · 871 citations · DOI ↗
  2
• Deep Learning with Long Short-Term Memory for Time Series Prediction2019 · 631 citations · DOI ↗
  2
• AI methods in materials design, discovery and manufacturing: A review2024 · 139 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.