GoldThe Department of Materials Science is integrated into the research areas, collaborative research centers and clusters of excellence of our university as well as into external competence centers. Our existing cooperations on an international level are constantly deepened and consistently expanded in line with the research areas. In accordance with the founding mission of the Faculty of Engineering, the scientific work also focuses on research topics in connection with industrial cooperations.



Faculty Focus Areas

A faculty focus in the sense of the university is a "preferably interdisciplinary field of research that is distinguished within a faculty by special scientific achievements (publications, technology transfer, third-party funding or similar) and whose research is nationally visible in a special way". The Department of Materials Science is active in the faculty foci of Information Engineering and Nanosystems Engineering. This is reflected in our research topics:


Energy Storage



Collaborative Research Centres

Interdisciplinarity plays a major role in the research orientation of materials science. This is particularly evident in the department's involvement in the Collaborative Research Center "Magnetoelectric Sensors: From Composite Materials to Biomagnetic Diagnostics" (SFB 1261), which began in 2016 and be extended in 2020.

The goal of SFB 1461 is to transfer findings about the information pathways in nervous systems to technical information processing in order to improve, for example, pattern and speech recognition or the energy efficiency of existing systems.

SFB 1261
SFB 1461
Excellence Cluster

Clusters of excellence are links between departments and institutions at university locations in order to promote scientifically required networking and cooperation.



Competence Centers

Competence Centers combine the knowledge and methods of different locations to advance research through interdisciplinary exchange. The Institute of Materials Science is currently involved in various competence centers:



Artificial Intelligence

Künstliche IntelligenzArtificial intelligence is an important field of research and teaching at our department. For example, deep neural networks (deep learning) can significantly improve previous (often only linear) problem-solving approaches in many areas. Neural networks therefore play an important role in medical technology, for example, and can provide good services to our medical partners in diagnoses and analyses.

In addition to classic supervised learning (which is probably the most frequently used method in our company), unsupervised learning (e.g. for data compression or for detecting unusual signal or data areas) and reinforcement learning are also playing an increasingly important role. The latter can be used primarily for control and regulation purposes, as it can also be used to learn successful control and regulation strategies over the long term.

In addition to these more application-related aspects, the institute is also looking at the energy balance of systems with artificial intelligence. This aspect will play an important role in the future due to the ever-increasing use of artificial intelligence. The Collaborative Research Center 1461 "Neuroelectronics: Biologically Inspired Information Processing" is therefore also increasingly looking at and researching analog variants of artificial intelligence.


Further details and selected projects
Neuroelektronik: Biologisch inspirierte Informationsverarbeitung - der Sonderforschungsbereich 1461

Renewable Energies

Erneuerbare Energien

Fossil energy sources have enabled the rapid development of human civilization in recent centuries. Their finite nature and the massive negative impact on our planet's climate make it inevitable that we will soon have to move away from fossil fuels.

On the one hand, the huge hunger for energy must be drastically reduced - and more efficient systems can help with this. In addition, energy must be provided, distributed and stored from renewable sources across the board.

At the Department of Materials Science, we are researching, among other things, new battery systems that can be charged quickly and have an extremely high energy storage density. The Department of Electrical Engineering and Information Technology is researching efficient power electronic systems and optimal strategies for energy distribution.


Further details and selected projects

Medical Technology

MedizintechnikFor us, medical technology, in the form of biomedical engineering and health technology, involves the application of engineering principles and rules in the field of medicine. This area is particularly exciting - at least from our point of view - as it combines knowledge from the field of technology with medical knowledge in order to improve the diagnosis, therapy, nursing care, rehabilitation and quality of life of sick or healthy individuals. To this end, our institute has special collaborations with the Medical Faculty of the CAU and the University Medical Center Schleswig-Holstein (UKSH).


Further details and selected projects
Biomagnetische Sensorik - der Sonderforschungsbereich 1261
Memristor: Der "Opener" für ein neues Zeitalter in der Elektronik?
Neutronics - der Sonderforschungsbereich 1461

Sensor Technology

SensorsystemSensor system sensors enable the continuous recording of key performance indicators and environmental data. The advancing miniaturization, reduction of energy consumption and new strategies for data transmission of sensor systems allow them to be used on a large scale. They are thus increasingly enabling the realization of intelligent, autonomous and adaptive systems. In particular, we are researching sensor systems for medicine and the life sciences, maritime applications, energy networks and environmental sensor technology. One research focus is on the production of sensor chips using micro- and nanosystems engineering methods (e.g. the chip labs in Prof. Gerken's working group). Here we have a very good laboratory infrastructure with the Kiel Nano Laboratory and the Competence Center Nanosystems Technology. Other key areas are sensor modeling and sensor information technology. The networking of sensors, the integration of functionality and new approaches for decentralization, real-time data processing, communication and self-testing enable significantly more powerful and energy-efficient sensor technology. We have established the Center for Networked Sensor Systems (ZEVS)  for this future field.


Further details and selected projects
Biomagnetische Sensorik - der Sonderforschungsbereich 1261
Zentrum für vernetzte Sensorsysteme (ZEVS)1

Energy Storage


The reduction in greenhouse gas emissions by 2050 set out in the Climate Protection Act can only be achieved through an energy transition in the transport sector, which currently accounts for almost 30% of total emissions in the EU. The future transport sector must be emission-free, flexible and resource-efficient. To achieve this, smart and sustainable mobility concepts are needed.

At the Faculty of Engineering, we are working on an interdisciplinary basis, in particular on efficient power electronics and high-performance battery technologies.


Further details and selected projects
Functional Nano Materials

  • Rainer Adelung

Bioinspired Materials and ...

  • Zeynep Altintas

Composite Materials

Multicomponent Materials

  • Franz Faupel

Synthesis and Real Structure

  • Lorenz Kienle

Nanoscale Magnetic Materials

  • Jeffrey McCord

Mikrosystems and Technology ...

  • Axel Müller-Groeling

Inorganic Functional Materials

  • Eckhard Quandt>

Metallic Biomaterials

  • Regine Willumeit-Römer

Computational Materials Sc.

  • Stephan Wulfinghoff

Corrosion and Surface Tech.

  • Mikhail Zheludkevich