Our Research on Machine Learning-Based Flame Regime Classification Published

We are pleased to share that our latest research on machine learning-based ensemble flame regime classification for mesoscale combustors has been published. The study integrates linear and nonlinear dynamic analysis with machine learning techniques to accurately classify combustion regimes, providing new insights into flame dynamics and stability. These findings contribute toward the development of intelligent monitoring and control strategies for advanced combustion systems. Congratulations to M. Ashwin Ganesh, Akhil Aravind, and Balasundaram Mohan on this excellent achievement. Visit: Machine learning-based ensemble flame regime classification for mesoscale combustors based on insights from linear and nonlinear dynamic analysis | Physics of Fluids | AIP Publishing