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07/18/2023
Cross-Validation Based Adaptive Sampling for Multi-Level Gaussian Process Models
Complex computer codes or models can often be run in a hierarchy of diff...
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01/23/2023
Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling
A probabilistic machine learning model is introduced to augment the k-ω ...
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12/08/2022
A probabilistic peridynamic framework with an application to the study of the statistical size effect
Mathematical models are essential for understanding and making predictio...
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10/04/2022
A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators
Ensuring vertical separation is a key means of maintaining safe separati...
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11/17/2021
An adapted deflated conjugate gradient solver for robust extended/generalised finite element solutions of large scale, 3D crack propagation problems
An adapted deflation preconditioner is employed to accelerate the soluti...
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03/17/2021