Algorithm×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.

45 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.

• J. Joshua YangTorrington Hospital
  2/6
• Qiangfei XiaPolitecnico di Milano
  1/7
• Julia MahamidUniversity of Warsaw
  1/5
• Hao JiangNational Institute of Standards and Technology
  1/5
• Sjors H. W. ScheresNIHR Cambridge Biomedical Research Centre
  1/4
• Miao HuTexas A&M University
  2/2
• John Paul StrachanStanford University
  2/2
• Ning GeTexas A&M University
  2/2
• R. Stanley WilliamsLawrence Berkeley National Laboratory
  2/2
• Can LiUniversity of Pittsburgh
  1/3

• Massachusetts Institute of TechnologyUS
  16/378
• Stanford UniversityUS
  16/360
• Harvard UniversityUS
  15/352
• Chinese Academy of SciencesCN
  9/524
• University of California, BerkeleyUS
  15/184
• Tsinghua UniversityCN
  7/353

• Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design2026 · 1 citations · DOI ↗
  1
• Improved protein structure prediction using potentials from deep learning2020 · 3,583 citations · DOI ↗
  3
• Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning2020 · 94 citations · DOI ↗
  3
• Faster Adaptive Federated Learning2023 · 86 citations · DOI ↗
  3

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.