LabCompass

Pushkar Ghanekar

Materials Science · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2020
Machine Learning in Materials ScienceElectrocatalysts for Energy ConversionCatalytic Processes in Materials ScienceAdvanced Memory and Neural ComputingOccupational Health and Safety Research

Publications

13

Citations

306

Est. group size

~3

Recurring co-author estimate

Active years

6

Publishing since 2020

Research summary
AI-generated

Pushkar Ghanekar's research is in Materials Science, with a focus on applying machine learning methods to problems in materials discovery and design, including topics related to catalysts used for energy conversion processes. The work also touches on advanced computing hardware concepts. This research combines computational and data-driven techniques to understand and predict material behavior.

Machine learning for materials scienceElectrocatalysis and energy conversion materialsCatalytic process modelingNeural and memory computing hardwareData-driven materials discovery

Publication output has been modest and somewhat irregular over the last decade, with no output before 2020 and a fluctuating but generally low annual count since, including a peak of 4 papers in 2024.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
1718192020: 2 publications202021: 3 publications212022: 2 publications222023: 1 publication232024: 4 publications4242025: 1 publication2526
Recent publications

No publications ingested yet.

Publishes in
  • ChemRxiv×3
  • ACS Chemical Health & Safety×2
  • Nature Communications×1
  • ACS Applied Energy Materials×1
  • npj Computational Materials×1
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  • Siddharth Deshpande

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  • Ankur K. Gupta

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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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