LabCompass

Harshad Gajapathy

Energy · The Ohio State University

OpenAlex ORCID
Early career · publishing since 2017Rising activity
Iron oxide chemistry and applicationsElectrocatalysts for Energy ConversionAdvanced Photocatalysis TechniquesMultiferroics and related materialsMagnetic properties of thin films

Publications

12

Citations

43

Est. group size

~8

Recurring co-author estimate

Active years

10

Publishing since 2017

Research summary
AI-generated

Harshad Gajapathy's research focuses on materials for energy applications, including iron oxide chemistry, catalysts for energy conversion, light-driven chemical reactions (photocatalysis), and magnetic materials such as thin films and multiferroics. Recent work has used advanced spectroscopy techniques, such as circularly polarized X-ray light and magnetic circular dichroism, to study surface chemistry and magnetic states in materials, as well as computational studies of how energetic molecules break down after being excited by light.

Magnetic and multiferroic materialsCatalysts for energy conversionPhotocatalysis (light-driven chemistry)X-ray and spectroscopic characterization techniquesMolecular dynamics of energetic materials

Publication output was sparse and irregular from 2017-2022 (0-1 papers most years) but increased to a more active pace of 3-4 papers per year from 2023-2024, with further output already appearing in 2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
2017: 1 publication17182019: 1 publication1920212022: 1 publication222023: 4 publications4232024: 3 publications24252026: 2 publications26
Recent publications
Publishes in
  • ChemRxiv×3
  • The Journal of Chemical Physics×2
  • Chemical Science×1
  • Proceedings of the 2022 International Symposium on Molecular Spectroscopy×1
  • ECS Meeting Abstracts×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 19, 2026.

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