Our team, led by Prof. Dr.-Ing. Andreas Kempf, Apl. Prof. Dr. Khadijeh Mohri, and Dr.-Ing. Irenäus Wlokas, develops and tests methods for the simulation, measurement, and optimization of reactive flows, flames, and detonations in facilities such as chemical reactors, gas turbine combustion chambers, hydrogen systems, piston engines, and iron direct reduction plants. Our methods shorten development times, minimize pollutants, and offer deep insights into processes and physics, enabling the development of cost-efficient, flexible, and safe facilities with significantly reduced emissions.

News

30.6.2026 Towards predicting Deflagration-to-Detonation Transition in smooth channels

In The Proceedings of the Combustion Institute, Tom Alzer's study "Towards predicting Deflagration-to-Detonation Transition in Smooth Channels“ by using highly resolved LES is available online now.

Novelty and significance statement: There are few attempts to predict Deflagration-to-Detonation Transition (DDT) in smooth channels using 3D simulation, and almost no meaningful comparison to experimental evidence. We attempt to fill this gap and present a modelling strategy that constitutes significant progress in modelling DDT.

            

01-7-2026 Professor Mohri Meets Federal President Steinmeier in Dorsten

We are delighted to share that Professor Morhi recently met the Federal President of Germany, Frank-Walter Steinmeier, and First Lady Elke Büdenbender during their visit to Dorsten. She had the opportunity to briefly introduce the Dorsten Breast Cancer Aid Sponsor Run, a community initiative she founded that has seen remarkable growth over the past four years and continues to raise awareness and support for those affected by breast cancer. 

We congratulate Professor Mohri on this wonderful recognition of her commitment to the community.

             

01.7.2026 A Milestone for Research Data Management

Research Data Management (RDM) remains an important focus for our team, and we continue to make steady progress in strengthening good research data practices. A recent milestone was the successful organization of the Data Champion Award by our RDM Manager, Sheeba Babuswamy, in collaboration with the University's Research Data Services (RDS) team as a pilot initiative, the award celebrates and promotes excellence in research data management.

Together with Dr. Stephanie Rehwald and Dr. Anna Köhler, we had the pleasure of presenting this year's Data Champion Award to Luis Felipe, recognizing commitment to good data management.

06.07.2026 New Simulation Framework Improves Prediction of Iron Oxide Nanoparticle Formation in Spray Flames

Researchers investigated the formation of iron oxide nanoparticles in turbulent spray flames using a novel simulation framework that combines Large-Eddy Simulation (LES), a transported Lagrangian Filtered Density Function (FDF) method, and a sectional particle model.

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29.06.2026 Carrier-phase DNS of iron particle cloud combustion in a highly turbulent shear layer

Our team's latest paper on Carrier-Phase Direct Numerical Simulations (CP-DNS) establishes a new benchmark by delivering the most highly resolved simulation of iron particle combustion to date.

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10.06.2026 Towards high-resolution LES simulations of wildfires: Benchmarks using a generic miniature tree

To further develop physics-based forest fire models, generic pinewood model trees are being studied both experimentally and numerically under controlled conditions.

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25.03.2026 The Role of Oxide Layer Thickness in Turbulent Iron Combustion

In a study recently accepted for the International Symposium on Combustion, Parsa Ghofrani examines the ignition dynamics of iron particle clouds. 

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11.03.2026 New method dramatically reduces cost of physics-consistent neural networks for combustion simulations

M.Sc. Maximilian Schäfer has developed a new method to enforce elemental and mass conservation in neural networks predicting chemical source terms.

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