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Frontier Brief · Collision 2026

Energy conversion efficiency×Condensed matter physics

41.4Collision Index
2.1%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 8.3× the base rate, typically within 3 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

47 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.

ResearcherECE / CMP
  • Michaël GrätzelSolaronix (Switzerland)
    131
  • Steve AlbrechtUniversity of Salerno
    81
  • Michael SalibaPanasonic (Japan)
    61
  • Liyuan HanUniversity of Michigan
    51
  • Antonio AbateKyung Hee University
    51
  • Edward Hartley SargentUniversity of Science and Technology of China
    41
  • Martin StolterfohtIstituto di Scienze e Tecnologie Chimiche "Giulio Natta"
    41
  • Christian M. WolffForschungszentrum Jülich
    31
  • Dieter NeherIstituto di Scienze e Tecnologie Chimiche "Giulio Natta"
    31
  • Sjoerd HooglandCentre National de la Recherche Scientifique
    31
Institutionpapers each side
  • Chinese Academy of SciencesCN
    123138
  • Massachusetts Institute of TechnologyUS
    46143
  • University of Science and Technology of ChinaCN
    6076
  • Stanford UniversityUS
    39104
  • Lawrence Berkeley National LaboratoryUS
    4098
  • Centre National de la Recherche ScientifiqueFR
    30121
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.