LabCompass

Seval Gündüz

Materials Science · The Ohio State University

Mid career · publishing since 2011Rising activity

Publications

46

Citations

1,515

Est. group size

~8

Recurring co-author estimate

Active years

16

Publishing since 2011

Research summary
AI-generated

Seval Gündüz's research focuses on materials and catalysts for energy conversion technologies, particularly solid oxide electrolysis and fuel cells, high-temperature electrocatalysis, and catalytic supports for chemical reactions. Much of the work examines how perovskite oxide materials release ('exsolve') metal nanoparticles on their surface to boost catalytic activity for processes like CO2 conversion, ammonia synthesis, and methane coupling, alongside separate work on silica-based catalyst supports for phenol hydrogenation in water. The group also uses advanced synchrotron-based spectroscopy and microscopy techniques to study these materials while they are actively operating (operando conditions).

High-temperature electrocatalysis and solid oxide electrolysisPerovskite oxide catalysts and nanoparticle exsolutionAmmonia synthesis and CO2/H2O co-electrolysisCatalyst supports (organosilica, polysilsesquioxanes) for hydrogenationOperando synchrotron characterization of catalytic materials

Publication output has fluctuated over the past decade with no clear steady growth, dipping around 2022 and 2024 before rising again to a recent peak in 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
2017: 3 publications172018: 7 publications7182019: 4 publications192020: 5 publications202021: 3 publications212022: 2 publications222023: 5 publications232024: 2 publications242025: 7 publications7252026: 2 publications26
Recent publications
Publishes in
  • Applied Catalysis B: Environmental×11
  • Catalysis Today×4
  • ChemCatChem×3
  • Catalysis Letters×2
  • Industrial & Engineering Chemistry Research×2
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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 19, 2026.

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