Combustion Research

Combustion research focuses on understanding and optimizing the complex processes involved in burning fuels, primarily to improve efficiency and reduce emissions in applications like gas turbines and furnaces. Current research heavily utilizes machine learning, employing algorithms like decision trees, variational autoencoders, and deep neural networks to analyze complex datasets from simulations and experiments, enabling improved prediction and classification of combustion dynamics and the development of more accurate predictive models. These advancements are crucial for enhancing the safety and performance of combustion systems, leading to more efficient energy production and reduced environmental impact.