CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
The CONTEXT project aims to develop an advanced machine learning framework that integrates deep learning with physics-based methods to predict and control extreme events in turbulent flows. This technology targets various applications, including atmospheric phenomena, ocean waves, and engineering systems like hydrogen…
Climate change and the race to decarbonise our society is making extreme events in fluids more prevalent.
These are rare events where the flow suddenly takes extreme states far from its normal state.
These can be found in any flow systems, such as in the atmosphere with atmospheric blocking causing extreme heatwaves, or in our oceans with rogue waves (waves of extreme heights) capable of capsizing boats, or in engineering flows in hydrogen-based clean combustors with flashback events where the f…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Netherlands, Delft
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.
