Open, high-fidelity CFD datasets and associated papers for reproducible scientific machine-learning research in automotive and aerospace aerodynamics.
Neil Ashton PRO
neashton
AI & ML interests
Personal research and dataset profile for Neil Ashton, Distinguished Engineer at NVIDIA. AI for computational engineering—scientific machine learning, high-fidelity CFD, foundation models, open datasets and reproducible evaluation. NVIDIA Hub activity may also appear under @nashton.
Interests: Scientific machine learning; AI for science; Computational fluid dynamics; Physics simulation; Foundation models; Surrogate modelling; Aerodynamics; High-performance computing.
Recent Activity
authored a paper 1 day ago
HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics authored a paper 1 day ago
DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for
Road-Car External AerodynamicsOrganizations
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