Innovation. Research.

The Center for Advanced Systems Understanding

We combine methods from mathematics, systems theory, data science, and scientific computing with the aim to rethink data-intensive systems research. Based on high-quality research data, we develop digital solutions that are used across disciplines.

New age of AI and biological research

Innovation in Science

European XFEL

reaches unmatched level in measurements of matter under extreme conditions. Researchers at European XFEL have developed an innovative method to study warm dense matter with unprecedented accuracy.Aliquet adipiscing vivamus ultrices ipsum, commodo vitae, elit nec ipsam luctus.

Research at CASUS aims to enable next-generation biology and to improve the mechanistic understanding and control of living systems.

First funding

Reaches unmatched level in measurements of matter under extreme conditions. Research will focus on computational predictions of the properties of new two-dimensional materialsAliquet adipiscing vivamus ultrices ipsum, commodo vitae, elit nec ipsam luctus.

Research will focus on computational predictions of the properties of new two-dimensional materialsAliquet adipiscing vivamus ultrices ipsum, commodo vitae, elit nec ipsam luctus.

Artificial intelligence

boosts super-resolution microscopy New generative model calculates images more efficient than established approaches Researchers at European XFEL have developed an innovative method to study warm dense matter with unprecedented accuracy.

The department supports CASUS researchers in all aspects of scientific computing and data-driven research. It also conducts research on specific topics of its own.

Structural transition

Project strives to bring laser fusion closer to application European Union funds CASUS research project with 700,000 euros

A “gold standard”

CASUS scientists contribute to an extensive effort to verify existing computer codes intended for materials simulations

Ricardo Martínez-García

wins international career award in complex systems’ research.Junior physicist from CASUS and SAIFR recognized for his work in statistical physics to better understand the dynamics of complex living systems.

Junior physicist from CASUS and SAIFR recognized for his work in statistical physics to better understand the dynamics of complex living systems.

Upcoming

Virtual staining of virus-infected cells microscopy

Maria Wyrzykowska | 09.18.24 | 14:00-15:00

CASUS Institute Seminar

Maria Wyrzykowska, Scultetus Early Career Fellow, Master Student at the University of Wrocław

How supercomputers are helping us with the energy transition

10.23.24 | 14:00-15:00

CASUS Institute Seminar

Please find a brief description of the talk on the German and Polish versions of this webpage

Publications

Critical Reviews in Molecular & Cell Biology 53: 99-114.(2024)

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Inde Z, Dixon SJ.

CBE-Life Sciences Education, 17(1), ar10., 2024

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco, consectetur adipisicing elit, sed do eiusmod.Moss-Racusin, C., van der Toorn, J., Dovidio, J., Brescoll, V., Graham, M.J., & Handelsman, J.

Science, 343(6171), 615-616. (2024).

Our focus

Theory of Complex Systems

Prof. Thomas D. Kühne

Chemical as well as physical processes are intrinsically associated with large length and time scales.

Earth System Science

Prof. Dr. Justin Calabrese

The Earth System Science research team at CASUS tackles problems at the interface spatial ecology, hydrology, and anthropogenic change to understand the dynamics of biodiversity in the Anthropocene

Machine Learning for Materials Design

Dr. Attila Cangi

We use scalable machine learning frameworks to improve density functional theory simulations, connect microscopic and mesoscopic simulations, and model advanced material properties

Systems Biolog

Dr. Ulrik Günther

Research at CASUS aims to enable next-generation biology and to improve the mechanistic understanding and control of living systems.

Scientific Computing Core

Dr. Andreas Knüpfer

The department supports CASUS researchers in all aspects of scientific computing and data-driven research. It also conducts research on specific topics of its own.

Autonomous Systems

The department supports CASUS researchers in all aspects of scientific computing and data-driven research. It also conducts research on specific topics of its own.

Computational Radiation Physics

Dr. Michael Bussmann

The group models, simulates and visualizes the dynamics of particles and radiation phenomena that are of interest when investigating the physics of laser particle acceleration.

Theoretical Chemistry

PD Dr. Agnieszka Beata Kuc

In the Theoretical Chemistry group, we explore innovative materials, with a particular emphasis on two-dimensional systems, for use in energy storage and generation, catalysis, isotope separation, and nano(opto)electronic devices.

Frontiers of Computational Quantum Many-Body

Dr. Tobias Dornheim

Our group develops novel methods and concepts to tackle problems from quantum many-body theory

Mathematical Foundations of Complex System Scienc

Prof. Dr. Michael Hecht

The beauty and fascinating enigmatic nature that complex systems embody might be the driving force behind the ambitions of many scientists in their realm of scientific research.

Dynamics of Complex Living Systems

Dr. Ricardo Martínez-García

The interdisciplinary group consists of scientists seeking to understand and quantify how the components of complex living systems like organisms or cells interact among each other and with the environment – and how these behaviors drive higher-level processes.

Machine Learning for Infection and Disease

Dr. Artur Yakimovich

Machine Learning for Infection and Disease (MLID) group aims to develop novel computational methods to facilitate our understanding of Infection Biology and Disease Biology.