HIFI-TURB (2019-2022) focused directly on generating high-fidelity LES/DNS datasets for building and validating advanced turbulence models.
COMMUNAUTE EUROPENNE DE RECHERCHE EN MATIERE D'ECOULEMENT, DE TURBULENCE ET DE COMBUSTION
Pan-European scientific association for fluid dynamics, turbulence, and combustion research — connecting academia and industry across 8+ countries.
Their core work
ERCOFTAC (European Research Community on Flow, Turbulence and Combustion) is a pan-European scientific association that connects researchers and engineers working on fluid dynamics, turbulence, and combustion across academia and industry. Their primary value is community infrastructure: they run collaborative events, disseminate technical knowledge, and maintain a European platform for exchanging scientific and technical know-how in these fields. In their more recent H2020 work, they contributed to generating high-fidelity simulation data (LES/DNS) to train and validate next-generation turbulence models, including machine learning approaches. They are not a laboratory — they are the connective tissue that links fluid mechanics researchers across Europe.
What they specialise in
e-CAERO 2 (2014-2017) engaged ERCOFTAC as a dissemination and community-building partner for aeronautical research across European networks.
HIFI-TURB keywords include machine learning and big data, indicating ERCOFTAC's community is moving toward data-driven turbulence modelling.
Both projects rely on ERCOFTAC's role as a European platform for collaborative events and circulation of scientific and technical know-how.
How they've shifted over time
In their early H2020 participation (2014-2017), ERCOFTAC's role was primarily organizational and disseminatory — supporting the spread of aeronautical and turbomachinery research through their established European platform and event infrastructure. By 2019, their focus shifted toward active scientific contribution: the HIFI-TURB project placed them inside a research innovation action producing high-fidelity simulation data, with explicit links to machine learning and big data methods. The trajectory is clear: ERCOFTAC is evolving from a pure dissemination body into a participant in data-driven computational research, likely reflecting where their member community is heading.
ERCOFTAC is moving toward data-intensive, AI-augmented turbulence research, making them a useful partner for projects that need community validation, dissemination reach, or access to a broad network of CFD and fluid dynamics specialists across Europe.
How they like to work
ERCOFTAC consistently joins projects as a participant rather than taking the lead — their value to consortia is their network and dissemination capacity, not project management. Their 20 unique partners across 8 countries across just 2 projects suggests they bring diverse consortia connections rather than working in a closed group. For anyone building a consortium in fluid dynamics or aeronautics, ERCOFTAC acts as a community access point: they open doors to European researchers and give projects visibility across academia and industry.
With 20 unique consortium partners across 8 countries from just 2 projects, ERCOFTAC has a broad and diverse European footprint. Their reach spans both academic institutions and industrial players in the aeronautical and turbomachinery sectors.
What sets them apart
ERCOFTAC is one of the few pan-European scientific associations specifically dedicated to flow, turbulence, and combustion — a combination that spans aerospace, energy, and industrial fluid systems. Unlike a university or research institute, they bring community reach: access to a large, established network of fluid mechanics experts that individual labs cannot replicate. For a consortium that needs credibility, dissemination, and connection to the broader CFD research community, ERCOFTAC is a rare and specific asset.
Highlights from their portfolio
- HIFI-TURBTheir largest H2020 project by funding (EUR 312,500), it represents a substantive research role — generating high-fidelity DNS/LES simulation data for next-generation machine learning-based turbulence models, signalling a shift beyond pure dissemination.
- e-CAERO 2Demonstrates ERCOFTAC's role as a European dissemination platform for aeronautical research, confirming their value to consortia needing structured outreach into the aeronautics and turbomachinery research community.