LabCompass

M. Tahir Patel

Engineering · Purdue University West Lafayette

Established · publishing since 1990

Publications

30

Citations

466

Est. group size

~3

Recurring co-author estimate

Active years

36

Publishing since 1990

Research summary
AI-generated

M. Tahir Patel works on solar photovoltaic (PV) technology, spanning topics from materials-level research on perovskite solar cells to system-level analysis of large solar farms, including their long-term reliability, energy output prediction, and economic viability. Recent work combines physics-based models with machine learning to predict how solar panels degrade over time and to estimate energy production across different climates and locations worldwide. The work also touches on practical deployment questions, such as where ground-mounted solar farms can be sited relative to electrical grid infrastructure.

Photovoltaic (solar cell) performance and reliabilityPerovskite solar cell materialsMachine learning for solar energy predictionSolar farm siting and grid integrationCost and lifetime modeling of PV systems

Publication output rose from 2017 to a peak around 2021 (5 papers) but has slowed considerably since 2022, with only about one publication per year from 2023 to 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.2/year recently
2017: 1 publication172018: 3 publications182019: 4 publications192020: 4 publications202021: 5 publications5212022: 3 publications222023: 1 publication232024: 1 publication242025: 1 publication2526
Publishes in
  • Applied Energy×4
  • IEEE Journal of Photovoltaics×3
  • arXiv (Cornell University)×3
  • Journal of Materials Chemistry A×1
  • Journal of Physics D Applied Physics×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 20, 2026.

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