LabCompass

Guang Lin

Materials Science · Purdue University West Lafayette

Mid career · publishing since 2007

Publications

52

Citations

670

Est. group size

Recurring co-author estimate

Active years

20

Publishing since 2007

Research summary
AI-generated

This researcher's publication record spans a wide mix of topics, including machine learning and control algorithms for vehicles and power systems, materials science topics like catalysis and solidification of alloys, and computational chemistry methods for predicting molecular properties. The work appears to bridge data-driven modeling and simulation techniques with applications in energy systems, automotive control, and materials characterization. Given the breadth of subject matter, prospective students should look closely at specific recent papers to understand the current focus of any ongoing projects.

Machine learning and reinforcement learning for control systemsMaterials science and catalysisComputational modeling of molecular and material propertiesEnergy systems and power grid applicationsAutomotive and vehicle control engineering

Publication output has been variable over the last decade, with a dip to zero in 2024 followed by a notable increase in 2025 and 2026, suggesting renewed and growing activity in recent years.

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 publication172018: 2 publications182019: 1 publication192020: 3 publications202021: 2 publications212022: 1 publication222023: 2 publications23242025: 4 publications4252026: 3 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×4
  • Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering×2
  • International Journal of Heat and Mass Transfer×1
  • The Journal of Physical Chemistry A×1
  • Communications in Computational 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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