Computational fluid dynamics
Turbulent Combustion
High-fidelity modeling of turbulent reacting flows for advanced energy and propulsion systems.
Explore this areaUniversity of Pittsburgh · Established 2002
Laboratory for Computational Transport Phenomena
Computational modeling for turbulent flows, energy systems, and next-generation scientific computing.
About LCTP
Research grounded in physics, built for real engineering systems
Established at the University of Pittsburgh in 2002, LCTP develops computational models for turbulent reacting flows in engines, gas turbines, propulsion systems, and industrial burners.
The laboratory’s work seeks to improve energy efficiency, reduce emissions, and deepen understanding of the underlying physics through accurate, scalable numerical methods.
Learn about the laboratoryResearch
Methods for complex transport phenomena
From classical computational fluid dynamics to emerging quantum algorithms, LCTP develops methods for understanding and predicting transport phenomena.
Scalable methods
Data & High-Performance Computing
Machine learning, parallel algorithms, and optimized simulation tools for demanding transport problems.
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Emerging computation
Quantum & Tensor-Network Methods
Compact representations and quantum algorithms for turbulence, partial differential equations, and scientific computing.
Explore this areaComputing at scale
Access to the Pittsburgh Supercomputing Center supports optimized, parallel simulations of complex engineering problems.
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Meet the researchers behind our work or get in touch with the laboratory at the University of Pittsburgh.