News
Research releases, recent talks, and podcast conversations.
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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.