Our Research Projects
Our projects combine experimental, theoretical and computational approaches to better understand and develop materials for future technologies.
On this page, you can find an overview of our ongoing projects and completed projects.
Ongoing Projects
Project Lead: Dieter Suess | Lifetime: 2026–2029
This project develops precisely engineered magnetic nanoparticles for combined cancer imaging and therapy. The particles are designed for high-resolution, radiation-free Magnetic Particle Imaging and can also generate localized heat when exposed to an alternating magnetic field, enabling the targeted destruction of tumor cells. By combining advanced particle fabrication with biomedical preparation and proof-of-concept testing, the international research team aims to establish a more precise and gentle approach to cancer diagnosis and treatment.
More about Magnetic Nanoparticles for Imaging and Hyperthermia
Cooperation Partner: Dieter Suess | Lifetime: 2025–2029
This project investigates scalable magnonic neural networks for future computing technologies. It focuses on the use of spin waves and magnonic systems for efficient information processing beyond conventional electronic circuits. The project combines expertise in magnonics, simulations and device concepts to develop new approaches for neuromorphic and energy-efficient computing.
Project Lead: Anna Kosogor | Lifetime: 2025–2029
This project develops a theoretical model for understanding and predicting the magnetocaloric effect in functional materials. It focuses on how magnetic, elastic and electronic contributions influence cooling performance, phase transitions and energy losses. The aim is to support the search for more efficient magnetocaloric materials for sustainable cooling technologies.
Project Lead: Claas Abert | Lifetime: 2025–2028
This project develops physics-informed methods for three-dimensional imaging of chiral magnetic nanostructures. It combines high-resolution imaging techniques with micromagnetic modelling to reconstruct complex magnetic states more accurately. The aim is to make static and dynamic magnetic textures such as skyrmions and related structures visible in three dimensions.
More about Physics-Informed Tomographic Imaging of Chiral Nanomagnets
Project Lead: Florian Bruckner | Cooperation Partner: Dieter Suess | Lifetime: 2024–2028
This project develops new numerical methods for the inverse design of highly efficient spin-wave transducers. It combines micromagnetic simulations with an accurate description of dynamic electromagnetic fields, including induced electric fields, and incorporates machine-learning concepts and numerical optimisation. The resulting simulation and design tools aim to improve the excitation and detection of spin waves and support future applications in magnonics, spintronics and microwave engineering.
Project Lead: Wilfried Schranz | Lifetime: 2025–2028
This project investigates domain walls in multiferroic materials—nanoscale boundaries that separate regions with different electric or magnetic states. These domain walls can exhibit unique properties that are not present in the surrounding material, making them promising building blocks for future technologies. By combining advanced experimental methods with theoretical modelling, the project aims to understand and control their functional behaviour for applications in energy-efficient electronics, sensors and other nanoscale devices.
More about Functional Domain Walls in Multiferroic Materials
Project Lead: Dieter Suess | Lifetime: 2023–2026
This project investigates how binary information can be represented by chiral spin textures such as skyrmions. It explores magnetic memory concepts in which information is stored and moved within thin magnetic films. The aim is to develop new approaches for compact, non-volatile and energy-efficient data storage.
More about Binary information represented by chiral spin textures