LabCompass

Ranga Rohit Seemakurthi

Energy · Purdue University West Lafayette

Early career · publishing since 2018Rising activity

Publications

33

Citations

440

Est. group size

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Ranga Rohit Seemakurthi studies catalysis and electrochemistry using computational and machine-learning methods, with a strong focus on carbon dioxide (CO2) electroreduction—converting CO2 into useful fuels or chemicals using electricity and catalysts. Much of the work involves multiscale computer modeling to understand how catalyst surfaces, electrolyte environments, and reaction interfaces influence which products form, such as long-chain hydrocarbons. The research combines first-principles simulations (physics-based models of atoms and electrons) with data-driven descriptor frameworks to guide catalyst design.

CO2 electroreduction to fuels/chemicalsMultiscale and first-principles modeling of catalysisMachine learning and data-driven catalyst screeningElectrochemical interfaces and reaction microenvironmentsHeterogeneous catalysis for energy conversion

Publication output has grown steadily over the last decade, rising from about 1 paper per year in 2018-2020 to 5-9 per year in 2024-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.2/year recently
172018: 1 publication182019: 1 publication192020: 1 publication202021: 3 publications212022: 3 publications222023: 3 publications232024: 6 publications242025: 9 publications9252026: 5 publications26
Recent publications
Publishes in
  • ChemRxiv×8
  • ioChem-BD Computational Chemistry Datasets×4
  • Nature Catalysis×2
  • Advanced Energy Materials×2
  • Chemical Reviews×1
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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 20, 2026.

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