News


Microswimmers can learn from bubbles how to swim efficiently

January 25, 2021
Researchers at the Max Planck Institute for Dynamics and Self-Organization show that the secret to optimal micro-swimming is out there in the nature. They prove that a microswimmer can increase its swimming efficiency by learning the swimming techniques from an unexpected mentor: an air bubble.

European scientists recommend COVID-19 targets

December 19, 2020
Max-Planck-Institute for Dynamics and Self-Organization initiates pan-European call for a rapid reduction of COVID-19 case numbers

Mysteries in clouds: Large droplets favoring creation of smaller ones

December 18, 2020
Scientists from the Max Planck Institute for Dynamics and Self-Organization (MPIDS) reported their new findings on how precipitating large raindrops, ice particles can favor growth of aerosols to produce new cloud condensation nuclei or ice nucleating particles. The results were recently published in the Geophysical Research Letters.

Research Departments


Fluid Physics, Pattern Formation and Biocomplexity
(Prof. Dr. Dr. h.c. Eberhard Bodenschatz)

We are investigating the dynamics of a variety of complex nonlinear systems both experimentally and theoretically. Our interests are currently focused on biocomplexity in cell-biology, Lagrangian properties of fully developed turbulence, pattern formation and spatio-temporal chaos, and the Geodynamics of the earth's crust.

Dynamics of Complex Fluids 
(Prof. Dr. Stephan Herminghaus)

A complex fluid consists of (a large number of) similar mobile entities which are complex enough by themselves to preclude a straightforward prediction of the collective behaviour of the whole. Our research aims at understanding emergent phenomena in complex fluids, in particular in active fluids. We hope to identify suitable model systems which yield insight into overarching principles of self-organization in systems as diverse as granular flows, swarming of plankton particles, or patterns in traffic flow. One challenging question is: are there general common ‘principles’ behind the various instances of symmetry breaking, structure formation, and emergence in open systems? How does nature proceed from ‘being’ to ‘becoming’?

Living Matter Physics
(Prof. Dr. Ramin Golestanian)

Since March 2018, Prof. Ramin Golestanian from Oxford University is a new director heading the department ‘Living Matter Physics’. The department is engaged in a wide range of theoretical research aimed at a multi-scale understanding of the dynamics of living systems from a physical perspective. 

Max Planck Research Groups


Neural Systems
Theory

Dr. Viola Priesemann

Biomedical
Physics

Prof. Dr. Stefan Luther

Statistical physics of
evolving systems

Dr. Armita Nourmohammad

Theory of Biological
Fluids

Dr. David Zwicker

In a nutshell


Dates

Seminar über aktuelle Fragen zur Dynamik komplexer Fluide: Physicochemical hydrodynamics of confined pumping droplets

Prashanth Ramesh
29.01.2021 10:15 - 11:15
Max-Planck-Institut für Dynamik und Selbstorganisation (MPIDS), Room: Video conference at www.zoom.us, Meeting ID: 980 3913 9623, Passcode: 050762

MPIDS Colloquium: Localization in Biological Networks

Prof. Dr. David Nelson
03.02.2021 14:15 - 15:15
Max-Planck-Institut für Dynamik und Selbstorganisation (MPIDS), Room: Video conference at www.zoom.us Meeting ID: 959 2774 3389 Passcode: 651129

Seminar über aktuelle Fragen zur Dynamik komplexer Fluide: tba

Ranabir Dey
19.02.2021 10:15 - 11:15
Max-Planck-Institut für Dynamik und Selbstorganisation (MPIDS), Room: Video conference at www.zoom.us, Meeting ID: 980 3913 9623, Passcode: 050762

MPIDS Colloquium: tbd

Prof. Dr. Alain Goriely
24.02.2021 14:15 - 15:15
Max-Planck-Institut für Dynamik und Selbstorganisation (MPIDS), Room: Video conference at www.zoom.us Meeting ID: 959 2774 3389 Passcode: 651129

MPIDS Colloquium: Soft matter physics and the COVID-19 pandemic

Prof. Dr. Wilson Poon
10.03.2021 14:15 - 15:15
Max-Planck-Institut für Dynamik und Selbstorganisation (MPIDS), Room: Video conference at www.zoom.us Meeting ID: 959 2774 3389 Passcode: 651129

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