Energy conversion efficiency×Battery (electricity)
This pair ranks in the top 0.1% of every collision candidate in the corpus. Across held-out years, pairs scoring that well went on to co-publish at 10.0× the base rate, typically within 2 years.
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.
14 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.
- Qiang ZhangBeijing University of Chemical Technology1/8
- Anita Ho‐BaillieSouthern University of Science and Technology5/1
- Jianghui ZhengCity University of Hong Kong4/1
- Mowafak Al‐JassimColorado School of Mines1/1
- Liang LiFujian Research Institute of Light Industry1/1
- Shuang ZhouCentral South University1/1
- Peter Müller‐BuschbaumUniversity of Chinese Academy of Sciences1/1
- Bolong HuangInstitute of Chemistry1/1
- Bingbing ChenQingdao University of Science and Technology1/1
- Sanjay MathurFujian Normal University1/1
- Chinese Academy of SciencesCN111/84
- Stanford UniversityUS39/59
- University of Chinese Academy of SciencesCN45/48
- Huazhong University of Science and TechnologyCN47/31
- University of Science and Technology of ChinaCN58/20
- Tsinghua UniversityCN14/81
- µ‐Graphene Crosslinked CsPbI<sub>3</sub> Quantum Dots for High Efficiency Solar Cells with Much Improved Stability2018 · 218 citations · DOI ↗4
- Ionic liquid–based solid electrolytes (ionogels) for application in rechargeable lithium battery2021 · 96 citations · DOI ↗4
- Thermal reduction of graphene oxide mixed with hard carbon and their high performance as lithium ion battery anode2016 · 72 citations · DOI ↗4
- Array of nanosheets render ultrafast and high-capacity Na-ion storage by tunable pseudocapacitance2016 · 1,452 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.
A premium Deep-Dive is being generated for this collision — check back soon.