Date: 24-26 October 2022
Venue: Crystal Palace Boutique Hotel, Sofia, Bulgaria
CoEC Combustion Autumn School 2022: Combustion theory with ML/AI applications and interactive analysis intends to present the fundamentals and current challenges in combustion, as well as to introduce the use of Machine Learning (ML) and High Performance Computing (HPC) to approach Exa-scale simulations of turbulent reacting flows. Different methodologies to enhance the computational performance of high-fidelity combustion simulations will be introduced in this school. The methods cover from node to system level performance optimisations and algorithms for combustion simulations.
This is the second training course in a series of two CoEC seasonal schools that have been planned for 2022 as part of the CoEC project. This CoEC school to combustion will allow participants to broaden their knowledge and understanding in a range of topics, including chemical kinetics in flames, soot formation in laminar, turbulent combustion, multiphase combustion of solid fuels, HPC algorithms for combustion simulation, ML and data driven modeling for turbulent reacting flows and interactive supercomputing for in-situ analysis.
The CoEC Autumn School 2022 is joint effort by NCSA (Bulgaria), CERFACS (France), BSC (Spain), Institute of Combustion Technology (ITV) – RWTH Aachen University (Germany), Juelich Supercomputing Centre (Germany), Eindhoven University of Technology (Netherlands), and Technical University of Darmstadt (Germany).
What you will learn
- General description of chemical kinetics in flames and how to handle it in computations;
- Presentation of soot formation in laminar and turbulent flames;
- Introduction to LES methods; Methodologies and challenges associated modeling various reacting particles like coal, aluminum, and iron;
- Introduction to Center of Excellence in Combustion (CoEC): Applying exascale computing technologies to promote and develop advanced simulation software;Presentation of HPC algorithms for combustion simulations;
- Introduction to AI and ML as well as ML and data driven modeling for turbulent reacting flows;
- Interactive exploration and analysis of large amounts of data with Jupyter: introduction, customisation and hands-on session
Undergraduate and graduate students, Ph.D. students, junior researchers (academy and industry) with some knowledge in Computational Fluid Dynamics (CFD).
There is a threshold number of participants (no more than 30 registrations), and a timely registration is essential. We will stick to the following criteria:
- 80% for attendees from institutions (universities, research centers, and companies) based in the EU or Associated Countries to the Horizon 2020 Programme and 20% for others.
- If the threshold is exceeded, we will prioritise attendees from South-East Europe, Israel, and Ukraine as well as participants that come from EU13 countries.
There is no registration fee. The CoEC School is free of charge.
October 20, 2022.
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Learn more on the NCSA website.