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03/28/2023
Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models
Wind farm modelling has been an area of rapidly increasing interest with...
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02/12/2023
An unsupervised learning approach for predicting wind farm power and downstream wakes using weather patterns
Wind energy resource assessment typically requires numerical models, but...
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11/24/2022
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning
Wind turbine wake modelling is of crucial importance to accurate resourc...
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07/22/2022
E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation
Given a partial differential equation (PDE), goal-oriented error estimat...
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06/21/2022
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Extracting information on fluid motion directly from images is challengi...
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04/24/2022
M2N: Mesh Movement Networks for PDE Solvers
Mainstream numerical Partial Differential Equation (PDE) solvers require...
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01/08/2022
Parallel Metric-Based Mesh Adaptation in PETSc using ParMmg
This research note documents the integration of the MPI-parallel metric-...
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07/28/2020
Unsupervised Learning of Particle Image Velocimetry
Particle Image Velocimetry (PIV) is a classical flow estimation problem ...
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10/31/2016
