Computational & Statistical Physics

The TUC Research Lab Computational & Statistical Physics is focused on problems in statistical physics of hard and soft condensed matter as well as on applications to complex socio-economic systems with quantitative methods. To tackle such problems we rely on a wide range of analytical and numerical techniques, most prominently large-scale Monte Carlo simulations as well as combinatorial and heuristic optimisation algorithms, but also techniques for random graphs and networks as well as solution methods for stochastic processes such as epidemic spreading processes.

News

Events
From Topology to Disorder: Innovations in understanding complex spin systems

International Workshop in Collaboration with the Indian Institute of Technology Delhi on correlations and disorder in condensed-matter systems.
Publications
New class of excitation sin spin glasses discovered

In a joint study with reserchers at Harvard University, Washington University St. Louis, and Indiana University we have disocvered a new type of low-temperature excitations in spin glasses. These zero-energy droplets occupy the middle ground between the established pictures of the spin-glas phase and hence open new avenues for an understanding of spin-glass physics.
Events
Begegnungszone: Statistical Physics and Machine Learning

International Workshop in Collaboration with the Max Planck Institute for Dynamics and Self-Organization Explores Synergies between Statistical Physics and Artificial Intelligence