Self-organization across scales: from nm to parsec (SOcraSCALES)

5 - 16 September 2022

Erwin Frey, Frank Jenko, Andreas Burkert

Isolated systems tend to evolve towards thermal equilibrium, a special state that has been a research focus in physics for more than a century. By contrast, most processes studied in ORIGINS are far from equilibrium. A fundamental, overarching feature of all these processes is the emergence of structure, order, and information, or in short self-organization. If one wants to understand such physical phenomena from the molecular to the galactic scale, one has to face the challenge of investigating systems where different physics and a multitude of scales are strongly interlinked. There is a need for a holistic approach that combines expertise ranging from theories of the universe to non-equilibrium physics and theories of complex living systems. Such different fields can be interconnected conceptually and mathematically , e.g., by defining collective states of matter to reduce the physics to the most relevant degrees of freedom. While the particular “language” in the various disciplines may differ, we all share the common challenge to understand how the collective interaction between building blocks leads to system-level properties. 

Key questions

- Is turbulence really self-organisation or "just a pain in the neck"?

- Can we / should we define self-organisation?

- Is there something like "hierarchical self-organisation" which links scales but at each scale there is some self-organisation?

- How important are non-equilbrium processes in self-organisation? What kind of non-equilibrium processes are important?

- Does the scale matter in self-organisation or is it all the same?


Talks (time tba)

The Emergence of Star Formation Near the Sun (Catherine Zucker)


Biological signal processing across scales (Steffen Rulands)


The 3D motion of the Interstellar Medium (João Alves)


Self-organization in active matter and biological systems (Erwin Frey)


Dynamics of Fluids and Soft Matter across Scales (Michael Wilczek)


Information field theory (Torsten Enßlin)


Complex Networks in Astrochemistry (Alexander Ruf)


Self-Replication: Self-Organisation at another level? -- Efficient Simulations of RNA Reactor dynamics
(Johannes Harth-Kitzerov)


Self-organised star formation in galaxies and the puzzle of the long star formation timescale (Andreas Burkert)


Self organization in biological systems: the importance of context tentative  (Barbara Drossel)


Turbulences as a paradigmatic model for self-organization (Frank Jenko)


Self-organization of living matter with non-reciprocal interactions (Ramin Golestanian)


Limiting aggregate size in biological self-assembly (Martin Lenz)


Self-Organization of Information Flow in Neural Networks and Beyond (Viola Priesemann)