13 citations · 16 across the 5 of their papers we have counts for
5 papers
3D Underwater Path Planning via Generative Flow Field Surrogates
Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1
Autonomous underwater vehicle (AUV) launch and recovery (LAR) into the hull of an advancing host platform requires traversal of a complex, three-dimensional propeller wake whose hy…
WAKESET: A Large-Scale, High-Reynolds Number Flow Dataset for Machine Learning of Turbulent Wake Dynamics
Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1
Machine learning (ML) offers transformative potential for computational fluid dynamics (CFD), promising to accelerate simulations, improve turbulence modelling, and enable real-tim…
Wake-Informed 3D Path Planning for Autonomous Underwater Vehicles Using A* and Neural Network Approximations
Zachary Cooper-Baldock, Stephen Turnock, Karl Sammut
Autonomous Underwater Vehicles (AUVs) encounter significant energy, control and navigation challenges in complex underwater environments, particularly during close-proximity operat…
A generalised novel loss function for computational fluid dynamics
Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1
Computational fluid dynamics (CFD) simulations are crucial in automotive, aerospace, maritime and medical applications, but are limited by the complexity, cost and computational re…
Speed, power and cost implications for GPU acceleration of Computational Fluid Dynamics on HPC systems
Zachary Cooper-Baldock, Brenda Vara Almirall, Kiao Inthavong
Computational Fluid Dynamics (CFD) is the simulation of fluid flow undertaken with the use of computational hardware. The underlying equations are computationally challenging to so…