Artificial intelligence×Energy storage

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.

19 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.

• Zhong Lin WangKing Abdullah University of Science and Technology
  3/7
• Chengkuo LeeShanghai University of Engineering Science
  7/1
• Zixuan ZhangSoochow University
  4/1
• Zhenan BaoUniversity of Washington
  4/1
• Qiongfeng ShiSoochow University
  3/1
• Kristin A. PerssonGoogle (United Kingdom)
  3/1
• Haegyeom KimUniversity of California, Berkeley
  1/2
• Hengyu GuoSichuan University
  1/2
• Changsheng WuNational Chung Hsing University
  1/2
• Gerbrand CederUniversity of Minnesota
  2/1

• Stanford UniversityUS
  279/35
• Tsinghua UniversityCN
  161/46
• Chinese Academy of SciencesCN
  160/43
• University of California, BerkeleyUS
  222/16
• Massachusetts Institute of TechnologyUS
  193/14
• Nanyang Technological UniversitySG
  170/14

• Multiscale modeling of graphene and carbon nanostructures: advances in atomistic, coarse-grained, and machine learning approaches2026 · 4 citations · DOI ↗
  4
• Recent advancements in supercapacitor technology2018 · 1,882 citations · DOI ↗
  3
• Recent Progress in Electrode Materials for Sodium‐Ion Batteries2016 · 987 citations · DOI ↗
  3
• Deciphering Advanced Sensors for Life and Safety Monitoring of Lithium Batteries2024 · 51 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.