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Developing a robust and flexible smart tool to predict a full range Critical Heat Flux (CHF) in different LWRs by using deep learning Artificial Neural Networks (ANN) via parallel multi-processing

Afshin Hedayat

2021Progress in Nuclear Energy15 citationsDOI

Topics & Concepts

Computer scienceArtificial neural networkDeep learningCascadeRange (aeronautics)Artificial intelligenceTraining setMachine learningAerospace engineeringEngineeringChemical engineeringHeat Transfer and Boiling StudiesMetallurgical Processes and ThermodynamicsNuclear reactor physics and engineering
Developing a robust and flexible smart tool to predict a full range Critical Heat Flux (CHF) in different LWRs by using deep learning Artificial Neural Networks (ANN) via parallel multi-processing | Litcius