Predicting critical flame quenching thickness using machine learning approach with ResNet and ANN
Zhongheng Nie, Wei Gao, Haipeng Jiang, Jianxin Lu, Zhengkang Lu, Xinsheng Jiang
Topics & Concepts
Quenching (fluorescence)Residual neural networkArtificial intelligenceComputer scienceEngineeringMaterials scienceArtificial neural networkPhysicsOpticsFluorescenceHeat transfer and supercritical fluidsAdvanced Combustion Engine TechnologiesNuclear reactor physics and engineering