News
Research releases, recent talks, and podcast conversations.
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DrivAerML now includes STEP CAD geometry for all 484 publicly available runs. The files use millimetres and accompany the existing STL geometry and CFD data. Access the dataset and CAD files on Hugging Face.
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The HiLiftAeroML preprint is now available, describing the open-source high-fidelity CFD dataset for high-lift aircraft aerodynamics.
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My recent NASA Ames Seminar is now available online. It covers the Fluid Intelligence paper and perspectives on recent advances in agentic AI. Watch the seminar.
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I’m excited to release the preprint Fluid Intelligence: A Forward Look on AI Foundation Models in Computational Fluid Dynamics with Johannes Brandstetter and Siddhartha Mishra, exploring the path towards foundation models for CFD.
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Three new papers are being presented at the AIAA SciTech 2025 conference - covering work on the 5th AIAA High-Lift Prediction Workshop. Head over to the publications section to look at the papers.
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A new paper describing a large-scale, high-fidelity DrivAer-based machine-learning dataset is now available on arXiv: DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics.
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Two new papers on open machine-learning training data are available on arXiv: WindsorML: High-Fidelity Computational Fluid Dynamics Dataset for Automotive Aerodynamics and AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics.
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Two new papers published at AIAA Aviation 2024. Immersed Boundary Wall-Modelled Large Eddy Simulations for Automotive Aerodynamics and Assessing the HPC performance of CODA for the NASA Common Research Model.
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Three papers have been submitted to the NeurIPS Datasets and Benchmarks Track, covering the AhmedML, WindsorML, and DrivAerML machine-learning datasets. Preprints will be available shortly on arXiv.
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The ICLR workshop on AI for Differential Equations in Science has published its draft schedule.