LabCompass

Tianfang Xie

Chemical Engineering · Purdue University West Lafayette

Mid career · publishing since 2013Rising activity

Publications

10

Citations

73

Est. group size

Recurring co-author estimate

Active years

12

Publishing since 2013

Research summary
AI-generated

Tianfang Xie works on combustion science and engine performance, studying how fuels like ammonia, hydrogen, and dimethyl ether burn and ignite under engine-relevant conditions, and how to model these combustion processes mathematically. Some recent work also applies machine learning to predict engine power output and to generate computer interfaces, suggesting a secondary interest in applying data-driven methods beyond combustion. This research is relevant to students interested in cleaner or alternative fuels for engines and computational modeling of combustion physics.

Combustion chemistry and engine performanceAlternative and low-carbon fuels (ammonia, hydrogen, dimethyl ether)Turbulent combustion modelingMachine learning applicationsEngine emissions and pollutant formation

Publication output was minimal or absent for much of the past decade but increased sharply in 2024 after a slow, sporadic pace in earlier years.

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: 1 publication20212022: 1 publication222023: 1 publication232024: 6 publications6242526
Publishes in
  • Journal of energy resources technology.×3
  • arXiv (Cornell University)×2
  • Energies×1
  • Combustion and Flame×1
  • Proceedings of the Combustion Institute×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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