Research Team Wins RWTH Aachen University’s Innovation Award

Mathis Bode (left) and Prof. Heinz Pitsch (right) with the RWTH Aachen University Innovation Award Trophy
Mathis Bode (left) and Prof. Heinz Pitsch (right) with the RWTH Aachen University Innovation Award Trophy

Congratulations to Mathis Bode (JSC), Prof. Thomas Lippert (JSC), and Prof. Heinz Pitsch (RWTH Aachen/ITV) for being one of the winners of RWTH Aachen University’s Innovation Award 2022 with their disruptive technology accelerator JuLES (JUelich Large-Eddy Simulation).

JuLES is an innovative platform that aims to actively contribute to achieving the 1.5-degree pathway. A starting point for the transformation of all industrial processes, which is required for the fight against climate change, is the fact that existing carbon-neutral technologies, such as renewable energy production from wind and solar energy or the hydrogen industry, need to be developed to market maturity level and become more efficient as quickly as possible. This is inconceivable without innovative technology accelerators.

On a technical level, JuLES is implemented as a software-as-a-service (SaaS) platform, which is used to develop reduced models for energy flows (e.g. flows in turbines or burners) in the shortest possible time and with unprecedented predictive accuracy, which are considered to be a crucial technology for the carbon-neutral transformation of our industrial processes.

The scientific core of JuLES is Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks (PIESRGAN) for Large-Eddy Simulation (LES). PIESRGAN for LES enables the data-driven development of reduced models for energy flows, which have already demonstrated that they are significantly superior to existing models in terms of predictive accuracy and can simultaneously reduce simulation costs by up to two orders of magnitude. It uses an artificial intelligence (AI)-based technique to "reconstruct" the smallest scales in energy flows. The combination of classical, general-establishment fluid mechanics techniques and cutting-edge AI technology allows for unprecedented predictive accuracy.

Contact: Mathis Bode

from JSC News No. 294, 7 February 2023

Last Modified: 08.02.2023