Dr.-Ing. Noah Klarmann

Curriculum Vitae

Noah Klarmann received the Master of Science degree in Chemical Engineering at the Technical University of Berlin in 2014. Afterwards, he started as a research assistent at the Chair of Thermodynamics at the Technical University of Munich in 2015. During this time, he developed novel modeling strategies for turbulent combustion in the context of computational fluid dynamics. He received a PhD (summa cum laude) under the supervision of Prof. Dr.-Ing. Thomas Sattelmayer in 2019. In parallel to the doctoral program, Noah Klarmann started to study Computer Science with focus on AI at Technical University of Munich in 2017.

In 2019, he joined the Chair of Robotics, Artificial Intelligence and Real-time Systems as a post-doctoral researcher. In his new role, he will be part of the AI4DI project that focuses on the training of digital twins of industrial robots in virtual environments. Moreover, Noah Klarmann is part of the coordination team of the EU-Project SHOP4CF.

2021

Klarmann, N.: Reinforcement Learning für die Industrierobotik. Konzepte der Robotik - Technik in Bayer | VDI, 2021.

Klarmann, N.: Artificial Intelligence Narratives: An Objective Perspective on Current Developments. Available on arXiv 2103.11961, 2021.

Hofmeister, T.; Hummel, T.; Klarmann, N.; Sattelmayer, T.: Elimination of Numerical Damping in the Stability Analysis of Non-Compact Thermoacoustic Systems With Linearized Euler Equations. Journal of Engineering for Gas Turbines and Power 143 (3), 2021.

2020

Klarmann, N.; Sattelmayer, T.: Canonical Validation of a Modeling Strategy for Carbon Monoxide Emissions in Staged Operation of Gas Turbine Combustors. Journal of the Global Power and Propulsion Society 4 (1), 2020.

Josifovski, J.; Malmir, M.; Klarmann, N.; Knoll, A.: Continual Learning on Incremental Simulations for Real-World Robotic Manipulation Tasks. 2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics, 2020.

Malmir, M.; Josifovski, J.; Klarmann, N.; Knoll, A.: Robust Sim2Real Transfer by Learning Inverse Dynamics of Simulated Systems. 2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics, 2020.

2019

Klarmann, N.; Zoller, B.T.; Sattelmayer, T.: Modeling of CO emissions in Multi-Burner Systems With Fuel Staging. ASME Turbomachinery Technical Conference & Exposition, 2019 [mehr…]

Klarmann, N.: Modeling Turbulent Combustion and CO Emissions in Partially-Premixed Conditions Considering Flame Stretch and Heat Loss. Thesis, 2019 [mehr…]

2018

Klarmann, N.; Zoller, B.T.; Sattelmayer, T.: Numerical modeling of co-emissions for gas turbine combustors operating at part-load conditions. Journal of the Global Power and Propulsion Society 2, 2018, 376-387 [mehr...]

2017

Klarmann, N.; Zoller, B.; Sattelmayer, T.: Numerical Modeling of CO-Emissions for Gas Turbine Combustors Operating at Part-Load Conditions. Proceedings of Global Power and Propulsion Forum Shanghai, 2017 [mehr…]

Schulze, M.; Hummel, T.; Klarmann, N.; Berger, F.; Schuermans, B.; Sattelmayer, T.: Linearized Euler Equations for the Prediction of Linear High-Frequency Stability in Gas Turbine Combustors. Journal of Engineering for Gas Turbines and Power 139 (3), 2017, 031510 1-10 [mehr…]

2016

Klarmann, N.; Sattelmayer, T.; Weiqun, G.; Magni, F.: Flamelet Generated Manifolds for Partially-Premixed, Highly-Stretched and Non-Adiabatic Combustion in Gas Turbines. 54th AIAA Aerospace Sciences Meeting, 2016 [mehr...]

Klarmann, N.; Sattelmayer, T.; Zoller, B.; Geng, W.; Magni, F.: Impact of Flame Stretch and Heat Loss on Heat Release Distributions in Gas Turbines Combustors: Model Comparison and Validation. Proceedings of the ASME Turbo Expo, 2016 [mehr...]

Klarmann, N.; Sattelmayer, T.; Zoller, B.; Magni, F.: Modellierung der CO-Bildung und -Oxidation in Mehrbrennersystemen mit Brennstoffstufung. Tagungsband, Wissenschaftliche Koordinierungsstelle AG Turbo, 2016 [mehr...]

Schulze, M.; Hummel, T.; Klarmann, N.; Berger, F.; Schuermans, B.; Sattelmayer, T.: Linearized Euler Equations for the Prediction of Linear High-Frequency Stability in Gas Turbine Combustors. Proceedings of the ASME Turbo Expo, 2016 [mehr...]