THERMODYNAMIC PROPERTY TABLES & CALCULATIONS

By ELIZABETH JONES

CONTENTS INTRODUCTION MACHINE LEARNING TECHNIQUES IN REACTIVE ATOMISTIC SIMULATIONS A NOVEL IN SITU MACHINE LEARNING FRAMEWORK FOR INTELLIGENT DATA CAPTURE AND EVENT DETECTION MACHINE-LEARNING FOR STRESS TENSOR MODELLING IN LARGE EDDY SIMULATION MACHINE LEARNING FOR COMBUSTION CHEMISTRY DEEP CONVOLUTIONAL NEURAL NETWORKS FOR SUBGRID-SCALE FLAME WRINKLING MODELING MACHINE LEARNING STRATEGY FOR SUBGRID MODELING OF TURBULENT COMBUSTION USING LINEAR EDDY MIXING BASED TABULATION ON THE USE OF MACHINE LEARNING FOR SUBGRID SCALE FILTERED DENSITY FUNCTION MODELLING IN LARGE EDDY SIMULATIONS OF COMBUSTION SYSTEMS REDUCED-ORDER MODELING OF REACTING FLOWS USING DATA-DRIVEN APPROACHES AI SUPER-RESOLUTION: APPLICATION TO TURBULENCE AND COMBUSTION MACHINE LEARNING FOR THERMOACOUSTICS SUMMARY