
Stephen B. Pope
Cornell University · Aerospace Engineering
Active 1975–2025
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About
Stephen B. Pope is the Sibley College Professor of Mechanical Engineering at Cornell University, with a research focus on modeling and simulation of turbulent flows and turbulent combustion. He pioneered the use of probability density function (PDF) models for turbulent reactive flows and has contributed significantly to the statistical modeling of turbulent flows and their study via direct numerical simulations. His work in combustion chemistry includes developing dimension-reduction and tabulation methodologies. Dr. Pope received his undergraduate and graduate education in Mechanical Engineering from Imperial College, London, and has held academic positions at the Massachusetts Institute of Technology before joining Cornell in 1982. He is a member of the National Academy of Engineering and a Fellow of several prestigious organizations, including the Royal Society, the American Academy of Arts and Sciences, and the American Physical Society. Dr. Pope has been recognized with numerous awards, such as the Zeldovich Gold Medal of the Combustion Institute and the Fluid Dynamics Prize of the American Physical Society. He is also known for his textbook 'Turbulent Flows,' published in 2000, and has made notable contributions to the understanding of turbulent combustion and reactive flows.
Research topics
- Mechanics
- Physics
- Statistical physics
- Mathematics
- Computer science
Selected publications
Physical Review Fluids · 2018-06-18 · 96 citations
articleSenior authorA study combining spectral filtering and numerical simulations at enhanced spatial and/or temporal resolution is used to clarify the proper scaling of dissipation and enstrophy in forced incompressible isotropic turbulence.
Combustion and Flame · 2018-10-24 · 48 citations
articleEffects of molecular transport in LES/PDF of piloted turbulent dimethyl ether/air jet flames
Combustion and Flame · 2016-12-09 · 30 citations
articleOpen accessSenior authorSelf-contained filtered density function
Physical Review Fluids · 2017-09-18 · 29 citations
articleOpen accessSenior authorThe filtered density function closure is extended to a ``self-contained'' format to include the subgrid scale statistics of all of the hydro-thermo-chemical variables in turbulent flows. The model is comprehensive and facilitates large eddy simulation of flows at low and high compressibility levels.
Tensor networks enable the calculation of turbulence probability distributions
Science Advances · 2025-01-29 · 27 citations
articleOpen accessSenior authorPredicting the dynamics of turbulent fluids has been an elusive goal for centuries. Even with modern computers, anything beyond the simplest turbulent flows is too chaotic and multiscaled to be directly simulatable. An alternative is to treat turbulence probabilistically, viewing flow properties as random variables distributed according to joint probability density functions (PDFs). Such PDFs are neither chaotic nor multiscale, yet remain challenging to simulate due to their high dimensionality.…
Recent grants
Frequent coauthors
- 27 shared
Peyman Givi
- 22 shared
P. K. Yeung
- 20 shared
Zhuyin Ren
- 19 shared
Haifeng Wang
- 18 shared
Sarah Gimbel
University of Washington
- 16 shared
Lauren Jensen
University of North Carolina at Chapel Hill
- 16 shared
Ruth Hyewoo Shin
University of Washington
- 16 shared
Abigail Mihaiuc
Creative Commons
Education
- 1976
Ph.D., Mechanical Engineering
Imperial College London
Awards & honors
- Propellants and Combustion Award, AIAA (2012)
- Hottel lecturer for the 34th International Combustion Sympos…
- Fluid Dynamics Prize, American Physical Society (2011)
- Zeldovich Gold Medal, Combustion Institute (2009)
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