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CPP: Fachverband Chemische Physik und Polymerphysik
CPP 31: Focus Session: From Inter-individual Variability to Heterogeneous Group Dynamics and Disorder in Active Matter (joint session DY/BP/CPP)
Wednesday, March 29, 2023, 09:30–13:00, ZEU 160
The study of active particle dynamics has developed into a vibrant field of multidisciplinary research, including such diverse systems as bacterial colonies, cellular self-organization, synthetic colloids and microrobots as well as macroscopic systems like locusts, flocks of birds, schools of fish or pedestrians. Whereas many studies in the past focused either on the random transport of individual particles or on the interplay of temporal fluctuations (noise) and interactions (velocity alignment or attraction/repulsion), there is now an increasing interest in the question how structural disorder and inter-individual variability, i.e., different motility characteristics of individuals, shape the active particle dynamics and emergent pattern formation of groups. The presence of structural or quenched disorder raises furthermore the immediate question how to bridge data and models based on (short time) tracking data, given the simultaneous presence of temporal fluctuations. With this focus session, we aim at bringing researchers from statistical physics and biophysics together to discuss this interdisciplinary topic and exchange ideas on common challenges arising in different application areas.
Organized by Robert Großmann (Potsdam)
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09:30 | CPP 31.1 | Invited Talk: More is different: High-throughput 3D tracking reveals bacterial navigation strategies — •Katja Taute |
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10:00 | CPP 31.2 | Invited Talk: Variability and heterogeneity in natural swarms — •Gil Ariel |
10:30 | CPP 31.3 | The contribution has been withdrawn. | |
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10:45 | CPP 31.4 | Distinct impacts of polar and nematic self-propulsion on active unjamming — Varun Venkatesh, •Chandana Mondal, and Amin Doostmohammadi |
11:00 | 15 min. break | ||
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11:15 | CPP 31.5 | Invited Talk: Superstatistical Analysis and Modelling of Complex Dynamical Systems — •Claus Metzner, Christoph Mark, Ben Fabry, Patrick Krauss, Achim Schilling, Maximilian Traxdorf, and Holger Schulze |
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11:45 | CPP 31.6 | How to infer parameter distributions in heterogeneous populations of active particles — •Jan Albrecht, Robert Großmann, and Manfred Opper |
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12:00 | CPP 31.7 | Derivation and analysis of a phase field crystal model for a mixture of active and passive particles⋆ — •Michael te Vrugt, Max Philipp Holl, Aron Koch, Raphael Wittkowski, and Uwe Thiele |
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12:15 | CPP 31.8 | Active Brownian Particles in a disordered motility environment — Gianni Jacucci, •Davide Breoni, Sandrine Heijnen, Hartmut Löwen, Giorgio Volpe, and Sylvain Gigan |
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12:30 | CPP 31.9 | Characterization of spatial heterogeneities as influencing factors on the dynamics of confluent endothelial cell migration — •Anselm Hohlstamm, Andreas Deussen, Stephan Speier, and Peter Dieterich |
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12:45 | CPP 31.10 | Exploiting the unknown - Smart nutrient collection surpassing the run and tumble strategy — •Mahdi Nasiri, Edwin Loran, and Benno Liebchen |