Xinlin WANG

Machine-learning-assisted physicochemical optimization of an RP-3 surrogate fuel model

To improve the physicochemical fidelity of RP-3 surrogate fuels, this study proposes a machine-learning-assisted multi-objective optimization framework that jointly considers conventional physical properties and combustion-related characteristics. A four-component surrogate consi...