Sili Associate Deng

Sili Associate Deng is an Associate Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology. Her research focuses on physics-informed data-driven modeling of reacting flows, including uncertainty quantification, optimization, and reduced-order modeling. She also investigates energy conversion through high-efficiency low-emission engines, carbon-neutral energetic materials, and photoelectrochemical devices. Deng's work encompasses flame synthesis for nanomaterials and combustion studies involving chemical kinetics and pollutant reduction. She is affiliated with the Combustion Institute and the American Physical Society.

Sili Deng is an Associate Professor at the Massachusetts Institute of Technology, specializing in Combustion and Energy. Her research focuses on advancing combustion science through innovative computational and experimental methods. Deng's work explores topics such as chemical kinetics, machine learning applications in combustion dynamics, and the development of novel materials for energy systems. She investigates the behavior of fuels, including crude glycerol and aluminum-based composites, and their performance under various conditions. Her research also addresses the integration of artificial intelligence with combustion modeling, such as physics-informed neural networks and neural ordinary differential equations, to improve the understanding and prediction of complex combustion phenomena.