LabCompass

Jeffrey Greeley

Materials Science · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2003
Catalytic Processes in Materials ScienceElectrocatalysts for Energy ConversionAdvancements in Battery MaterialsCatalysis and Oxidation ReactionsMachine Learning in Materials Science

Publications

294

Citations

22,045

Est. group size

~13

Recurring co-author estimate

Active years

24

Publishing since 2003

Research summary
AI-generated

Jeffrey Greeley's research uses computational methods, especially first-principles quantum chemistry and machine learning, to understand and design catalysts for chemical and energy conversion reactions. His work spans heterogeneous catalysis (reactions occurring on solid surfaces), electrocatalysis for batteries and fuel cells, and the atomic-scale behavior of metal and metal-oxide surfaces. Students in this group would likely work on modeling surface reactions and catalyst stability using computational chemistry and data-driven approaches.

Computational catalysis and surface chemistryElectrocatalysis for energy conversion (fuel cells, batteries)Machine learning and data-driven materials modelingMetal and alloy surface structure/stabilityFirst-principles (DFT) modeling of reaction mechanisms

Publication output rose through 2020, then gradually declined and leveled off at a lower but steady rate over the past few years.

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

Publication cadence
Publications per year over the last 10 years — averaging 10.8/year recently
2017: 13 publications172018: 19 publications182019: 21 publications192020: 23 publications23202021: 16 publications212022: 12 publications222023: 12 publications232024: 17 publications242025: 10 publications252026: 3 publications26
Recent publications
Publishes in
  • ECS Meeting Abstracts×35
  • ACS Catalysis×16
  • The Journal of Physical Chemistry C×9
  • Angewandte Chemie International Edition×7
  • Angewandte Chemie×7
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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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