LabCompass

Hee‐Joon Chun

Materials Science · Purdue University West Lafayette

Mid career · publishing since 2001Rising activity

Publications

53

Citations

1,290

Est. group size

~2

Recurring co-author estimate

Active years

26

Publishing since 2001

Research summary
AI-generated

Hee-Joon Chun works in materials science and catalysis, focusing on designing catalysts and electrocatalysts for converting small molecules such as CO2, CO, and hydrocarbons into useful fuels and chemicals (e.g., alcohols, olefins, and paraffins). The work combines experimental catalyst synthesis and testing with computational methods like density functional theory and molecular dynamics to understand how catalyst structure and surface chemistry affect reaction performance. Additional projects involve electrocatalysts for energy conversion reactions such as water splitting and oxygen reduction.

Catalysis for CO2/CO hydrogenation to fuels and chemicalsElectrocatalysts for water splitting and oxygen reduction reactionsComputational modeling (DFT and molecular dynamics) of catalytic surfaces and interfacesFischer-Tropsch synthesis and hydrocarbon upgrading catalystsNanomaterial and nanocrystal design for energy applications

Publication output was relatively low and variable from 2017-2022 (0-3 papers/year) but increased notably from 2023-2026, averaging around 4-8 papers per year.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.6/year recently
2017: 3 publications172018: 2 publications18192020: 3 publications202021: 2 publications212022: 2 publications222023: 8 publications8232024: 7 publications242025: 3 publications252026: 3 publications26
Recent publications
Publishes in
  • ECS Meeting Abstracts×5
  • SSRN Electronic Journal×4
  • ACS Catalysis×3
  • Applied Catalysis B: Environmental×3
  • Applied Surface Science×3
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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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