Skip to main content

Department of Electrical Engineering, Mechanical Engineering and Technical Journalism

DirkReith_FBEMT_2019-01_Foto_Elena-Schulz (DE)

Prof. Dr Dirk Reith

Computational Science and Engineering /Managing Director of the TREE Institute/Presidential commissioner for institutional research co-operations


Department of Electrical Engineering, Mechanical Engineering and Technical Journalism , Institute for Technology, Renewables and Energy-efficient Engineering (TREE)

Research fields

  • Scientific Director,&nbsp;Institute for Technology, Resource- and Energy-efficient Engineering (<a href="">TREE)</a>
  • <a href="">Presidential commissioner</a> for co-operations with non-university research institutions
  • Faculty Advisor, <a href="">BRS Motorsport Team</a> (Formula Student)
  • Member, H-BRS <a href="">Senate</a>
  • Member, <a href="">Commission for Research and Transfer</a>


Sankt Augustin


B 223


Grantham-Alle 20

53757, Sankt Augustin


Fields of Expertise: 
  • MB Master  - Classical Mechanics (Theoretical Physics 1)
  • MB Master  - Technical Mechanics 4 (Advanced Dynamics)
  • MB Bachelor E3 - Technical Mechanics 3 (Dynamics)
  • MB Bachelor A4P und NI D4 - Modeling and Simulation for Engineers 1
  • MB Bachelor A6P - Modeling and Simulation for Engineers 2
  • Bachelor E4/6 Elective - Sustainable Race Car Design Aspects
  • Bachelor A7 Elective - Cost- and Production Management Formula Student
  • Bachelor P3/4/6 Projekts, z.B. Energy Storage Competition, Self-made Hexacopter Construction


Research Projects

TRE3L - TREE-Energy Lab

The institute TREE operates the TREE-Energy Lab (TRE3L) in the university's Center of Applied Research (ZAF)&nbsp; with it's industrial partners GKN Driveline and GKN Sinter Metals. In the three sub-labs Powder Fabrication-Lab, Mobility-Lab and Hydrogen-Lab the three partners work on innovative techniques in powder metallurgy and recent topics of environment friendly mobility and energy-efficiency. These labs are supported by a Simulation-Lab.

Project management at the H-BRS

Prof. Dr Alexander Asteroth Prof. Dr Tanja Clees Prof. Dr Dirk Reith
Teaser Placeholder
Partnership for Applied Sciences - PASS

As part of the NRW-Ghana Partnership and the funding programme "NRW Partnerships for the Promotion of Technical Universities in Ghana", the Ministry of Innovation, Economics and Research (MIWF) has been funding the university partnership project "Partnership for Applied Sciences - PASS" between Hochschule Bonn-Rhein-Sieg University of Applied Sciences (consortium leader), Cologne University of Applied Sciences, Bad Honnef International University of Applied Sciences and the two Ghanaian universities Kumasi Technical University and Cape Coast Technical University through the German Academic Exchange Service (DAAD) since 2017. The project has a duration of four years.

Teaser Placeholder
eTa - efficient transportation alternatives

The development of sustainable electromobility is one of the social challenges our time, which is considered in the research project eTa. The energy efficiency of vehicles is addressed in aerodynamic projects and optimized operating strategies. In particular, non-classic vehicle concepts are in focus. Alternative mobility concepts based on non-fossil fuels need new supply structures. The optimized expansion of the loading infrastructure is therefore another issue. But even the best mobility concept is useless if it is not accepted by society and implemented by politics and business. Therefore, acceptance questions are a central element of eTa, which will be further developed. The following areas are addressed primarily by the need to reduce energy consumption: Efficiency of the vehicles Alternative mobility concepts Efficiency of mobility concepts Technical acceptance In particular, these are questions which arise only from the combined consideration of these subject areas and are usually not fully answered in classical manner. Examples of this are optimization of hybrid controls for muscle-electric hybrid light vehicles and study of the aerodynamics of ultralight vehicles where results of the classic wind tunnel tests often do not correspond to the results of the practice. Other topics that we are dealing with are predictive operational strategies for electric combustion hybrid vehicles and loss optimization, optimization of multi-stage placement of charging stations, acceptance of alternative mobility concepts.

Project management at the H-BRS

Prof. Dr Alexander Asteroth
Teaser Placeholder

A sustainable energy future requires that we both do more with less, and that we fully exploit the renewable energy sources we have available. In this project we explore a common thread between these two approaches, developing tools to better explore and understand aerodynamic design. On the one hand our tools can be used to improve the performance of aerodynamic vehicles, and on the other improving our ability to harvest energy from wind. We develop automated methods for the design of complete aerodynamic structures, using machine-learning techniques to guide iterative experimentation with novel designs. We focus on: Optimization of entire structures, rather than iterative improvement on existing designs Human-machine collaborative design exploration, to discover innovative design concepts Inclusion of structural mechanics and fluid structure interaction into the optimization, design, and modeling process Modeling techniques to support these goals, using data-driven approaches to approximate computationally intensive techniques and simulations In particular we face challenges when creating tools which address these issues in tandem, such as: modeling the performance of designs produced with non-traditional parameterizations broad exploration of possible designs in computationally demanding contexts optimization and modeling of aerodynamic and structural properties simultaneously &nbsp;

Project management at the H-BRS

Prof. Dr Dirk Reith
Teaser Placeholder
ReBauVES - resource optimised development of structural elements

The use of FEM structural analysis for the development of extrusion blow mouldered parts is state of the art. Product properties like stackability can be predicted with high accuracy. Though, it is involving to determine material parameter necessary to give a significant simulation. Due to material stretching during the blow moulding process combined with high cooling rates, the properties of thermoplast materials is influenced significantly.&nbsp;Therefore it is not possible to refer to data from literature; instead, for each material all parameters have to be determined experimentally. Transferring these parameters to other materials or process conditions hardly possible. The reason for this is the lacking basic knowledge on a molecular scale. The coupling of already existing macroscopic models with those in micro scale offers new possibilites: Influences of&nbsp;the manufacturing process on the polymers, resulting in changes of the material properties, become clearer when the molecular details are studied. With the help of computer simulation, basic microscopic knowledge can be transferred into macrosopic information. The main goal is to create a completely process based material model with the help of simulation models on micro scale&nbsp;as well as extensice studies.

Project management at the H-BRS

Prof. Dr Dirk Reith
Teaser Placeholder
SkaSim - Scalable HPC software for simulations in the chemical industry

With using force field based molecular dynamic simulations it is possible to open up the field of modelling to the engineering sciences for the first time. Based on molecular interactions techniqual systems can now be reliably analysed. For sure the molecular simulation will also have a great impact on industrial development and resource efficiency. Chemical companies will be able to make use of simulations to solve engineering problems efficiently and therefore to replace&nbsp;experiments. To achieve this, it is necessary to reach accuracies comparable to high-level experiments. This requires optimised molecular models as well as overall efficiency. This means coordinated development of models, simulation methods and software.&nbsp; This goal of this project is to investigate highly parallel molecular dynamics and new methods for highly parallel mathematic optimisation. Special focus will be put on: the prediction of specific properties for pure substances the behaviour of mixed fluid phases the study of nano scaled processes the development of new methods in the field of fluid phase lines and nucleation in reacting systems &nbsp; &nbsp;

Project management at the H-BRS

Prof. Dr Dirk Reith
Teaser Placeholder
SchmiRmaL - intelligent tribo systems

In this project Fraunhofer SCAI uses highly modern molecular midelling for the simulation of octanol-water and membrane-water distribution coefficients. Both of them are important to &nbsp;rate the toxicity of those chemicals. The octanol-water distribution indicates the affinity of a chemical to biological material. In contrast, the membrane-water distribution shows how fast a chemical can intrude a biological cell. These experiments are not easy to perform due to the extremely low IL-concentrations. Therefore, the simulation is a good and realistic&nbsp;alternative concerning the accuracy and the price.&nbsp;

Project management at the H-BRS

Prof. Dr Dirk Reith
Teaser Placeholder


Complete List:

Google Scholar   or   ResearchGate

Representative Selection:

R. Strickstrock, M. Hülsmann, D. Reith, K.N. Kirschner: "Optimizing Lennard-Jones parameters by coupling single molecule and ensemble target data", Comp. Phys. Comm. 108285 (2022). DOI: 10.1016/j.cpc.2022.108285

P. Carbone, R. Faller, H.J. Qian, D. Reith: "Tailor-made approaches on use of multiscale modeling for research on soft materials–capabilities, restrictions and future possibilities", Soft Materials 18(2-3), 111-112 (2020). DOI: 10.1080/1539445X.2020.1746337

D. Grommes, M.R. Schenk, O. Bruch, D. Reith: "", Polymers 13 (24), 4466 (2021). DOI: 10.3390/polym13244466

D. Wilde, A. Krämer, D. Reith, H. Foysi: "Semi-Lagrangian lattice Boltzmann method for compressible flows", Physical Review E 101(5), 053306 (2020). DOI: 10.1103/PhysRevE.101.053306

D. Reith, C. Blume, M. Grein, T. Haedecke, D. Könemann, M. Malschützky: "Sustaining complex projects by linking in- and off-curriculum elements: The BRSU Racing Engineer Certificate", 2020 IEEE Global Engineering Education Conference (EDUCON), 905-912. DOI: 10.1109/EDUCON45650.2020.9125147

C. Schmahl, W. Hildebrandt, D. Reith: "Efficiency Improvements of Electrical and Conventional Vehicles" MTZ worldwide 79(4), 38-43, Springer (2018). DOI: 10.1007/s38313-018-0004-x

M. Hülsmann, K. N. Kirschner, A. Krämer, D. D. Heinrich, O. Krämer-Fuhrmann, D. Reith: „Optimizing Molecular Models Through Force Field Parameterization via the Effcient Combination of Modular Program Packages“, in “Foundations of Molecular Modeling and Simulation”, 53-77, Springer (2016). DOI: 10.1007/978-981-10-1128-3_4

A.A. Tietze, F. Bordusa, R. Giernoth, D. Imhof, T. Lenzer, A. Maaß, C. Mrestani-Klaus, I. Neundorf, K. Oum, D. Reith, A. Stark, "On the nature of interactions between ionic liquids and small amino acid-based biomolecules", Chem. Phys. Chem. 14, 4044-64 (2013), DOI: 10.1002/cphc.201300736