LabCompass

Navneet Goswami

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2018
Fuel Cells and Related MaterialsElectrocatalysts for Energy ConversionHybrid Renewable Energy SystemsLattice Boltzmann Simulation StudiesNanofluid Flow and Heat Transfer

Publications

35

Citations

340

Est. group size

~4

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Navneet Goswami's research focuses on the internal workings of fuel cells and water electrolysis devices, using computer simulations and modeling to understand how tiny structural features affect performance and degradation over time. This work combines materials engineering, fluid dynamics, and electrochemistry to help improve clean energy technologies like hydrogen fuel cells and electrolyzers used for producing hydrogen from water.

Fuel cell catalyst layer degradationPorous transport layers in water electrolysisMultiphase and reactive transport modeling (Lattice Boltzmann methods)Electrocatalyst structure-performance relationshipsHeat transfer and natural convection in enclosures

Publication output has been fairly steady over the last decade, rising from zero in 2017 to a peak in 2019 and maintaining a consistent pace of about 4 papers per year through 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.8/year recently
172018: 1 publication182019: 6 publications6192020: 4 publications202021: 5 publications212022: 4 publications222023: 4 publications232024: 4 publications242025: 4 publications252026: 3 publications26
Recent publications
Publishes in
  • ECS Meeting Abstracts×14
  • Journal of The Electrochemical Society×3
  • Journal of Materials Chemistry A×2
  • Journal of The Institution of Engineers (India) Series C×2
  • ACS Energy Letters×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 20, 2026.

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