The main research objective of the Computational Magnetism research group is a theoretical and computational investigation of magnetic phenomena in bulk alloys, heterostructures and nanoparticles. One important tool of our studies is based on spin-models: first we determine suitable parameters from relativistic first principles calculations, then we study the magnetization processes of the system via Monte-Carlo and Langevin dynamics simulations. We also employ the relativistic disordered local moment scheme that takes into account the interplay between the thermal spin-fluctuations and the electronic structure. Our studies involve the exchange bias phenomenon in layered heterostructures, magnetic pattern formations in ultrathin films and the superparamagnetism of magnetic nanoparticles. We carry out our project within a broad international cooperation, including experimental and industrial partners.
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.