Computational Capabilities


Modeling of combustion in engines or under conditions relevant to engine performance.

Kinetic Models and Surrogate Mixtures Needed for Simulation of Combustion in Engines

Development of detailed chemical models, reduced chemical models and surrogate mixtures needed to represent real fuels. Exercising kinetic models over pressure-temperature trajectories to understand kinetic-based fuel-specific differences with engine operating conditions.


Development of predictive models based on molecular structure or based on correlations of properties of bio-blendstocks alone and in blended fuels.


Economic, environmental, societal, and market models to predict implications of future fuel/engine systems.

Target Identification

Use of computational tools to identify bio-blendstocks likely to have advantageous properties and performance in any particular type of engine and operating regime.

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