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20222026
most citedA Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators

7 citations · 14 across the 14 of their papers we have counts for

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Showing 2023 · cs.CEShow all

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cs.CE2023

Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling

Joel Ho, Nick Pepper, Tim Dodwell

A probabilistic machine learning model is introduced to augment the turbulence model in order to improve the modelling of separated flows and the generalisability of lear…