HIGHLIGHTS
- What: This paper begins with an explanation of the computational, design, and surrogate modelling methodologies 7 GT2024-128828, Treleaven where the generation of the concepts, design of experiments, LES and low-dimensional models are discussed. The model inputs and outputs are used to generate an augmented matrix: φ=[X, y] where X is the set of input data and y is the set of output data that will be used to train the model. A detailed error analysis of this model has not yet been undertaken however some of the results are presented in Figs 13 and amp . . .

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