The research portfolio of the Computational Magnetism Research Group includes the theoretical and computational investigations of magnetic phenomena in bulk alloys, heterostructures and nanoparticles. Our studies are based on relativistic ab-initio calculations: we either use ab-initio spin-dynamics to determine the magnetic structure or we compute the parameters of a suitable spin model, then we study the magnetization processes via Monte-Carlo and spin-dynamics simulations. We mainly focus on the complex magnetic pattern formation and magnetic excitations in ultrathin films, with special emphasis on magnetic skyrmions. Moreover, we study the superparamagnetism of magnetic nanoparticles, as well as the topological quantum states in magnetic clusters placed on the surface of superconductors. Within a broad international cooperation, we aim at contributing to the innovation in the modern magnetic and quantum information technology.
To describe nanoscale devices at very small temperatures or to understand the low temperature behavior of solids, gases and liquids, one necessarily has to employ quantum field theoretical methods. The Theoretical Physics Department hosts currently two independent "Momentum" research groups, focusing on quantum statistical physics, integrable systems, and interacting cold atoms, and transport in nanostructures. In addition, we also carry out intense research in the field of quantum information theory and its application in ab initio calculations, and our theoretical studies cover various fields of 'classical 'condensed matter theory, including the theory of disordered and amorphous systems, biological systems, or the study of dissipation and stopping in solids.
We apply the methods of statistical physics for the study of complex interacting systems. These can be physical systems, like granular materials which are very important for both theoretical and technological point of view. However these may be other systems exotic to physicists, like financial, or social systems, for which the physical approach may lead to fundamentally new discoveries. For these investigations it is of importance to study the structure and the dynamics of the underlying network of the systems.