AB-UPT Sets New Benchmarks Across Major CFD Datasets
Emmi AI now holds the top performance across all major publicly available computational fluid dynamics (CFD) datasets, including DrivAerML, DrivAerNet++, AhmedML, and the newly released SHIFT-SUV and SHIFT-Wing from Luminary Cloud.
A new Technical Report, AB-UPT for Automotive and Aerospace Applications, extends the results from the AB-UPT paper published at Transactions on Machine Learning Research (TMLR), demonstrating that Anchored-Branched Universal Physics Transformers (AB-UPT) achieve state of the art accuracy and efficiency on complex real-world automotive and aerospace simulations.
Results at a Glance
SHIFT-SUV (automotive):
AB-UPT attains mean relative errors below 1 % for drag force prediction and maintains near-perfect correlations for lift, with full 3D fields accurately reproduced.
Training on a single NVIDIA H100 GPU converges within 13.5 hours, with inference completed in under 34 seconds for full-vehicle meshes of 45 million cells.