| 02/2025 Hydrodynamic stresses in a multi-species suspension of active Janus colloids Gennaro Tucci et al. A realistic description of active particles should include interactions with the medium, commonly a momentum-conserving simple fluid, in which they are suspended. In this work, we consider a multi-species suspension of self-diffusiophoretic Janus colloids interacting via chemical and hydrodynamic fields. Through a systematic coarse-graining of the microscopic dynamics, we calculate the multi-compo … |
| 02/2025 Fluctuation Dissipation Relations for the Non-Reciprocal Cahn-Hilliard Model Martin Kjøllesdal Johnsrud et al. Recent results demonstrate how deviations from equilibrium fluctuation-dissipation theorem can be quantified for active field theories by deriving exact fluctuations dissipation relations that involve the entropy production [M. K. Johnsrud and R. Golestanian, arXiv:2409.14977]. Here we develop and employ diagrammatic tools to perform perturbative calculations for a paradigmatic active field theory … |
| 01/2025 Sensitive particle shape dependence of growth-induced mesoscale nematic structure Jonas Isensee et al. Directed growth, anisotropic cell shapes, and confinement drive self-organization in multicellular systems. We investigate the influence of particle shape on the distribution and dynamics of nematic microdomains in a minimal in-silico model of proliferating, sterically interacting particles, akin to colonies of rod-shaped bacteria. By introducing continuously tuneable tip variations around a commo … |
| 01/2025 Physics of droplet regulation in biological cells David Zwicker et al. Droplet formation has emerged as an essential concept for the spatiotemporal organisation of biomolecules in cells. However, classical descriptions of droplet dynamics based on passive liquid-liquid phase separation cannot capture the complex situations inside cells. This review discusses three general aspects that are crucial in cells: (i) biomolecules are diverse and individually complex, implyi … |
| 01/2025 Stochastic bubble dynamics in phase-separated scalar active matter Mingqi Yan et al. In ABP systems, phase separation is accompanied by the emergence of vapor bubbles within liquid domains. Using large-scale particle-based simulations, we study the stochastic dynamics of these bubbles and find that most nucleate, grow, and dissolve within liquid domains. We show that their area dynamics can be described by a Langevin equation with a constant negative drift and noise proportional t … |
| 01/2025 Enhanced condensate fluidity in modified patchy particle models Alena Taskina et al. Biomolecular condensates are formed via liquid-liquid phase separation of proteins, often together with nucleic acids, typically driven by interactions between low-affinity binding sites. The computational study of such condensates that accounts both for the droplet-scale fluid behavior and the internal structure of the condensate requires coarse-grained models. Recently, patchy particle models, r … |
| 01/2025 Ensemble inequivalence in the design of mixtures with super-Gibbs phase coexistence Filipe C. Thewes et al. Designing the phase behavior of multicomponent mixtures is a rich area with many potential applications. One key question is how more than $M+1$ phases, as would normally be allowed by Gibbs' phase rule at generic temperature in a mixture of $M$ molecular species, can be made to coexist in equilibrium. In the grandcanonical ensemble, such super-Gibbs phase equilibria can be realized by tuning … |
| 01/2025 Non-reciprocal mixtures in suspension: the role of hydrodynamic interactions Giulia Pisegna et al. The collective chasing dynamics of non-reciprocally coupled densities leads to stable travelling waves which can be mapped to a model for emergent flocking. In this work, we couple the non-reciprocal Cahn-Hilliard model (NRCH) to a fluid to minimally describe scalar active mixtures in a suspension, with the aim to explore the stability of the waves, i.e. the emergent flock in the presence of self- … |
| 12/2024 What should a neuron aim for? Designing local objective functions based on information theory Andreas C. Schneider et al. In modern deep neural networks, the learning dynamics of the individual neurons is often obscure, as the networks are trained via global optimization. Conversely, biological systems build on self-organized, local learning, achieving robustness and efficiency with limited global information. We here show how self-organization between individual artificial neurons can be achieved by designing abstra … |
| 11/2024 An elastoplastic model approach for the relaxation dynamics of active glasses Tanmoy Ghosh et al. How activity affects the glassy dynamics is crucial for several biological processes. Furthermore, active glasses offer fascinating phenomenologies, extend the scope of equilibrium glasses, and can provide novel insights into the original problem. We introduce a family of novel approaches to investigating the relaxation dynamics of active glasses via an active elastoplastic model (EPM). These appr … |