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Data Challenge

Description of the Data Challenge

We are pleased to announce that Part 1 of the CYPHER Machine Learning and Data Challenge is now officially open. This challenge, first introduced during our recent general meeting in Krakow, marks the beginning of our community effort to leverage openly available combustion DNS data for modeling purposes. 

The challenge is hosted on Codabench: https://www.codabench.org/competitions/9173/

All supporting materials, including code, data, and detailed instructions, are available on GitHub:
https://github.com/burn-research/Cypher-challenge-2025

This first phase of the challenge will culminate in a discussion and presentation of results at the WG1 and WG2 Workshop in Naples, taking place from 10–12 September 2025.

The second part of the challenge will be launched in the fall, to discuss its outcomes at the 3rd ML4FLUID Workshop 
https://www.ercoftac.org/events/machine-learning-for-fluid-dynamics2026/

We encourage all interested participants to engage with this initiative. 
For additional info and support: pasquale.lapenna@uniroma1.it

Check the description in the PDF Below

Challenge Slides

COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientist to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.
funded by european union

COST Action CA22151

MoU - 061/23
CSO Approval date – 12/05/2023
Start date – 20/10/2023
End date - 19/10/2027
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