About FluidsBench
A public benchmark designed for comparable, citable evaluation of AI surrogate models in fluid dynamics
FluidsBench is designed to make official results from AI surrogate models easier to compare, inspect, and cite. It brings public fluid-dynamics datasets, dataset-specific evaluation rules, and versioned leaderboard releases into one benchmark.
Results in this field are often reported using different meshes, splits, fields, and metrics. FluidsBench retains the scientific requirements of each dataset while providing one consistent process for submitting and publishing results. Each published result remains tied to its dataset, split, and release so that a paper or public claim can be checked later.
Benchmark process
How it works
Define the evaluation
Dataset teams define the public test cases, native scoring locations, required fields, and metrics.
Evaluate and package
Model authors run their own models and provide every reported metric and required profile prediction.
Validate and publish
FluidsBench checks each package for the required structure and internal consistency, then turns approved submitter-provided values into leaderboard tables and plots against public ground truth.
FluidsBench does not run submitted models or recalculate reported metrics from prediction fields. Links to public code, model, and environment artifacts are optional and are displayed when supplied.
Organising committee
FluidsBench is developed by a committee spanning academia and industry.
Scientific and industrial advisory board
The advisory board helps keep the benchmark scientifically useful and relevant across academia and industry.
Siddhartha Mishra
ETH Zurich
Nils Thuerey
Technical University of Munich
Nathan Kutz
Autodesk
Michalis Michaelides
PhysicsX
Oriol Lehmkuhl
Barcelona Supercomputing Center
Cristian Bodnar
Project Prometheus
Fabien Casenave
Safran
Sofiane Haddad
Airbus
Johannes Brandstetter
Mistral
Adam Clarke
Boeing
Dirk Hartmann
Siemens / TU Darmstadt
Sina Hassanli
Arup
Simon Dodman
Cadillac Formula 1 Team
Daniel Morales Brotons
Neural Concept
Questions?
For questions about the benchmark, datasets, or submissions, email admin@fluidsbench.org.