LabCompass

Drew Ryan

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2008Rising activity
Fluid Dynamics and MixingHeat Transfer and Boiling StudiesModel Reduction and Neural NetworksFluid Dynamics and Heat TransferMinerals Flotation and Separation Techniques

Publications

18

Citations

55

Est. group size

~3

Recurring co-author estimate

Active years

17

Publishing since 2008

Research summary
AI-generated

Drew Ryan's research focuses on how mixtures of gas and liquid (two-phase flows), such as air-water bubbly flows, behave inside pipes at different orientations (horizontal, inclined, vertical), which is relevant to nuclear reactor cooling systems and other engineering equipment. Recent work combines experimental measurements, computational fluid dynamics (CFD) modeling, and machine learning techniques to classify flow patterns and predict flow properties like void fraction (the proportion of gas in the flow). The work is grounded in nuclear engineering applications but also touches on broader fluid dynamics and heat transfer problems.

Two-phase (gas-liquid) flow in pipesNuclear reactor thermal-hydraulicsFlow regime classification using machine learningComputational fluid dynamics (CFD) modelingPipe orientation effects on flow behavior

Publication output was sparse or absent for much of the early-to-mid decade, then increased markedly starting in 2022 and peaked in 2023, suggesting a recent growth phase in research activity.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.0/year recently
2017: 1 publication17181920212022: 3 publications222023: 8 publications8232024: 4 publications242526
Recent publications
Publishes in
  • Transactions of the American Nuclear Society×5
  • Nuclear Engineering and Design×2
  • Nuclear Science and Engineering×2
  • Nuclear Technology×1
  • Geoenergy Science and Engineering×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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