44 citations · 143 across the 17 of their papers we have counts for
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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…
cs.CE2022★ 7 cited
A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators
Nick Pepper, Marc Thomas, George De Ath +4
Ensuring vertical separation is a key means of maintaining safe separation between aircraft in congested airspace. Aircraft trajectories are modelled in the presence of significant…
cs.CE2021★ 9 cited
An adapted deflated conjugate gradient solver for robust extended/generalised finite element solutions of large scale, 3D crack propagation problems
Konstantinos Agathos, Tim Dodwell, Eleni Chatzi +1
An adapted deflation preconditioner is employed to accelerate the solution of linear systems resulting from the discretization of fracture mechanics problems with well-conditioned…