This topic entitled "Theoretical, Numerical and Experimental Studies on Clean Energy and Combustion" addresses recent theoretical, numerical and experimental advances in clean-combustion-related applications to address climate change concerns while taking advantage of the higher energy density of hydrocarbon and other fossil fuels compared to batteries. With the recent advancements in computational capacities and the widespread applications of machine learning in engineering problems, the role of numerical methods is becoming more and more important to improve existing models or develop new models that can help researchers to better understand the underlying physics of combustion, their interaction with other physical phenomena such as turbulence, and their impacts on the performance of the related applications at both fundamental and practical levels. This topic aimed at highlighting the most recent advances in the development and application of such numerical methods, backed up with strong theories and/or experimental studies.

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