BACK 08/12/2022

PATC: Introduction to machine learning in the application area of fluid mechanics and combustion using HPC

Date: 8 December 2022


Time: 08:30-17:00 CET


Place: Online




This PATC will highlight interactive analysis for ML/AI applications in the research domain of combustion theory. The program will focus on fluid mechanics, fundamentals and current challenges in combustion, as well as the use of Machine Learning (ML) and High-Performance Computing (HPC) to approach simulations of turbulent reacting flows.


Prerequisites: Some knowledge of Computational Fluid Dynamics


Language: English


Number of participants: Minimum 5, maximum 50




Jens Henrik Göbbert, Mathis Bode, JSC
Ludovico Nista, Dr. Temistocle Grenga, RWTH Aachen University
Dr. Federica Ferraro, Julian Bissantz, TU Darmstadt
Dr. Peicho Petkov, NCSA


Title Presenter
08.30 – 9.15 Welcome and introduction to interactive supercomputing for machine learning on HPC Mr. Jens Henrik Göbbert (Jülich Supercomputing Centre)
09.15 – 10.00 Introduction to machine learning: artificial and convolutional neural networks Mr. Ludovico Nista (RWTH Aachen University)
10.00 – 10.45 Machine learning for combustion modeling: Flamet representation through ANN Dr. Federica Ferraro (TU Darmstadt)
10.45 – 11.15 Coffee break
11.15 – 12.00 Hands-on session: – linear regression and rain prediction via ANN, a digit classifier using CNN – a flamelet representation with ANN Mr. T. Jeremy P. Karpowski (TU Darmstadt)
12.00 – 13.30 Lunch break
13.30 – 14.15 Machine learning for combustion modeling: GAN modeling of sub-filter turbulence Dr. Temistocle Grenga (RWTH Aachen University)
14.15 – 15.00 HPC with Machine Learning: multi-node multi-GPU training: theory and applications Mr. Ludovico Nista (RWTH Aachen University)
15.00 – 15.30 Coffee Break
15.30 – 16.15 HPC and ML for Combustion Simulation: Embedding ML into CFD code Dr. Peicho Petkov (NCSA)
16.15 – 17.00 Advanced applications of AI super-resolution to combustion Mr. Mathis Bode (Jülich Supercomputing Centre)

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