About us

The Computational and Soft Matter Physics Group develops and uses modern computational, experimental and theoretical tools to study a broad range of condensed matter systems with emphasis on the statistical mechanics of equilibrium and non-equilibrium processes. Research topics of current interest include soft matter, nanoparticles, phase transitions, biological matter, magnetism and magnetic soft matter, glasses, chaotic dynamics, as well as hydrodynamics of colloids and swimmers.

News/Highlights

22.10.2024
 

Christoph Dellago erzählt im Interview über die Revolution, die Machine Learning in Wissenschaft und Industrie gerade auslöst.

09.10.2024
 

Publication of the Computational and Soft Matter Group mentioned in the press release for the Physics Nobel Prize 2024!

20.08.2024
 

Master's thesis topic: Magnetoactive Polymers

Supervisors: Lucio Isa (ETH), Jan Smrek/Christos Likos (Uni Vienna)

25.06.2024
 

The paper “Adsorption characteristics of Janus tadpole polymers”, recently published in The Journal of Chemical Physics was selected, based on the...

24.05.2024
 

Faculty of Physics researchers Christos Likos and Jan Smrek among the coauthors of a recent review paper on the interplay of topology, flow, and...

08.05.2024
 

The perspective article on the atomistic simulation of water with machine learning potentials, written by Pablo Montero and Christoph Dellago in...