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There is now a method to successfully predict pressure-dependent chemical reaction rates, which could end up benefitting auto and engine manufacturers, oil and gas utilities and other industries that employ combustion models.

Combustion scientists have worked for years to better understand the thousands of chemical reactions that take place during the combustion process, said researchers at Sandia and Argonne national laboratories.

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As scientists determine and understand the speeds and outcomes of more and more of these reactions, they can use models to more fully characterize what’s occurring inside an engine, and thus better predict combustion efficiency and the emissions formed during combustion, said Sandia’s Ahren Jasper, the lead author of a study on the subject.

A more detailed, fundamental understanding of the chemistry of combustion, in turn, may lead to cleaner and more efficient strategies in automotive vehicle and fuel design.

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Argonne chemist Stephen Klippenstein, a corresponding author of the study, said this method should aid development of global models for all gas phase chemical environments, including the Earth’s atmosphere. Better models will improve understanding of climate change and boost efforts to address it.

Many of the key steps underlying gas-phase combustion involve elementary chemical reactions that end up strongly pressure-dependent, and researchers who develop combustion models require detailed descriptions of these reactions.

While significant progress has occurred over the years in understanding combustion chemistry, the outcome and rates of pressure-dependent chemical reactions — those that depend on the pressure of the gas in the engine — have been very difficult to predict. These reactions depend on the pressure because the redistribution of energy and angular momentum that occurs when the reacting molecules collide with other gas molecules changes the speed and outcome of the reactions.

Previous qualitative research focused on how various molecular properties influence energy transfer rates, but no accurate method could predictions of the rate constants, that is, predictions based on theoretical deduction, not observation.

“We’ve desperately needed the ability to compute and calculate precisely how chemical reactions depend on temperature and pressure, and now we have that,” Jasper said.

The team focused on modeling the collisions of molecules in atomistic detail and characterizing the transfer of energy and angular momentum that takes place as a result of those collisions.

“We succeeded by using more accurate models for describing the interaction of the colliding species and by focusing on only those aspects of energy transfer that are most relevant in determining the reaction rate,” Jasper said. This allowed the researchers to develop a detailed description of collision outcomes.

Jasper and his colleagues then were able to obtain that collision outcome information using direct “classical trajectories” that explicitly describe the motion of the atoms in the molecules, and to use this information in calculating chemical reaction rates.

A key step, Jasper said, was the development of a model for the collisional energy and angular momentum transfer function that reproduced detailed features predicted by the trajectories and was simple enough to use in practical reaction rate calculations.

“Finding a way to accurately compute and represent the energy and angular momentum transfer from these vibrationally-excited molecules proved to be the final piece needed to solve the problem,” said Jasper.

“The overall theoretical model is rather complex, involving many separate unrelated calculations, and it is remarkable how accurately one can now treat all aspects of the problem in developing such completely a priori predictions,” Klippenstein said.

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