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Frontier Brief · Collision 2026

Artificial intelligence×Voltage

45.0Collision Index
2.2%historical odds of first co-publication

This pair ranks in the top 0.5% of every collision candidate in the corpus. Across held-out years, pairs scoring that well went on to co-publish at 8.5× the base rate, typically within 2 years.

How this was measured →
Frontier Brief

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

Players in this space · predicted

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.

Who actually spans both fields · graph-verified

75 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.

ResearcherAI / Voltage
  • Zhongrui WangInstitute for Basic Science
    63
  • Huaqiang WuTsinghua University
    72
  • Qiangfei XiaPolitecnico di Milano
    72
  • Zhong Lin WangKing Abdullah University of Science and Technology
    34
  • Can LiUniversity of Pittsburgh
    52
  • Hao JiangNational Institute of Standards and Technology
    52
  • J. Joshua YangTorrington Hospital
    52
  • Peng LinMaterial Measurement Laboratory
    42
  • Wenhao SongTexas A&M University
    42
  • Daniele IelminiMedizinische Hochschule Brandenburg Theodor Fontane
    61
Institutionpapers each side
  • Stanford UniversityUS
    27920
  • Chinese Academy of SciencesCN
    16024
  • Massachusetts Institute of TechnologyUS
    19318
  • Tsinghua UniversityCN
    16114
  • University of California, BerkeleyUS
    2228
  • University of CambridgeGB
    12613
Closest work to the seambridge fields touched

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.

Deep-Dive

A premium Deep-Dive is being generated for this collision — check back soon.