LabCompass

Yuanyue Liu

Energy · Indiana University

Publications

197

Citations

25,576

Est. group size

Recurring co-author estimate

Active years

18

Publishing since 2009

Research summary
AI-generated

Yuanyue Liu works on materials and computational methods for clean energy, with a focus on catalysts that drive electrochemical reactions such as converting carbon dioxide into useful fuels and chemicals. Much of the research uses atomic-scale modeling and machine learning to understand how catalysts behave at electrode-water interfaces. The work spans single-atom catalysts, two-dimensional materials, and simulation techniques for electrochemistry.

Electrocatalysis and CO2 conversionSingle-atom catalysts2D materials (graphene, MXene, ReS2)Atomistic and machine-learning modelingElectrochemical interfaces

Publication output peaked around 2018-2019 and has generally declined since, settling to a steady level of roughly 10-14 papers per year in recent years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 10.6/year recently
2017: 8 publications172018: 23 publications182019: 27 publications27192020: 20 publications202021: 16 publications212022: 13 publications222023: 10 publications232024: 14 publications242025: 11 publications252026: 5 publications26
Recent publications
Publishes in
  • ECS Meeting Abstracts×15
  • Journal of the American Chemical Society×11
  • ACS Nano×9
  • arXiv (Cornell University)×8
  • Nature Communications×7

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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