Searcharxiv⌕ Search

arXiv · 2610.23285

When Cooling Meets Flow: Advection-Driven Orientation Selection in Phase Separation around a Moving Cooling Source

Abstract

We investigate phase separation in a binary fluid subjected to a moving Gaussian cooling source and externally imposed material flow. Unlike conventional homogeneous quenches, the moving thermal field initiates phase separation at different times across the system, creating a spatially varying thermal history and local age. The interplay of a moving cooling source, phase separation and external flow field introduces directional bias, resulting in anisotropic pattern formation. Using an advective Cahn-Hilliard-Cook model coupled to a spatially and temporally varying temperature field, we examine how front propagation, thermal diffusion, phase separation, and material transport jointly select the evolving morphology. In the absence of flow, increasing the cooling-source velocity drives a transition from nearly symmetric structures to asymmetric spiral-like patterns and, at higher velocities, to narrow elongated domains as the thermal front increasingly lags behind the source. Advection reorganizes the phase-separated domains by transporting, stretching, and reorienting them. At low flow velocities, competing thermal and advective histories produce distinct regions of flow-aligned and vertical layers. A stronger flow aligns the domains predominantly along the flow direction. Our results demonstrate that a moving thermal history can encode a spatial record of non-equilibrium phase separation. This work provides a route to controlled morphology selection through the competition between front propagation, thermal diffusion, and material flow.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Lakshmipriya K, Sutapa Roy. 2026-10-16. When Cooling Meets Flow: Advection-Driven Orientation Selection in Phase Separation around a Moving Cooling Source. https://arxiv.org/abs/2610.23285

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Density and shape govern the dynamical self-organization of active matter on a closed surface

Morphogenesis emerges from dynamic feedback among geometry, mechanics, and chemistry; however, disentangling these contributions in living systems remains challenging. Here, we focus on the interplay between geometry and mechanics by developing a minimal in vitro model in which purified microtubules and kinesin motor clusters self-organize into a two-dimensional active nematic cortex at the surface of spherical water-in-oil droplets. The spherical geometry enforces a total topological charge of +2, here realized by four +1/2 defects whose trajectories reveal robust, self-sustained oscillations. Using full-surface reconstructions, we show that the collective dynamics of the defects lead to a periodic switching between planar and tetrahedral arrangements through alternating coiling and hemisphere-crossing phases. By tuning microtubule density, the system spans a continuum from a classic defect-dominated active nematic to a regime resembling an extensile filament confined to a curved surface, where low density is associated with increased trajectory variability and direction reversals. Geometric perturbations introduced through controlled squeezing redistribute curvature and induce the nucleation of additional defects, thereby reorganizing the entire topological landscape while preserving total charge. Together, these results show that periodic morphogenetic-like cycles, defect topology, and material organization can arise solely from the interplay of activity, density, and curvature. This reconstituted system provides a versatile platform for elucidating the coupling between mechanics and geometry underlying shape formation in active biological matter.

cond-mat.soft↗

Basin-volume distributions in monodisperse particle packings -- the soul of memory

Mechanically stable packings of $N$ particles in $d$ dimensions lie at the minima of an $Nd$-dimensional potential energy landscape. Starting from random initial particle positions, the system can relax using gradient-based optimization until it arrives at one of the equilibrium states; all initial conditions that end at the same minimum belong to the same catchment basin. We measure the distribution of the catchment basin volumes for indistinguishable monodisperse soft spheres in both $d=2$ and $d=3$. Ordering the basins at each system size, $N$, according to their volume, $P_N(n)$, from the largest at $n=1$ to smaller at larger $n$, we find a very wide distribution of volumes which is similar in both dimensions: $P_N(n) \approx A_Nn^{-α}$ with $α\approx 1$ which, in our most favorable cases, extends over $7$ decades. We explore aspects of the connectivity of the basins, show that their structure is highly contorted, and demonstrate how these results may be used to understand the imprinting of memories in cyclic strain studies of solids.

cond-mat.soft↗

Non-Monotonic Exciton Transport Efficiency in Multi-layer Ring-shaped Quantum Networks inspired by Photosystem I

Photosystem I (PSI) is one of the most efficient natural photosynthetic complexes and serves as a structural prototype for understanding excitation energy transfer (EET) and designing artificial light-harvesting systems. Here, we construct a multilayer elliptical-conical quantum network inspired by PSI to investigate how antenna architecture affects EET. Excitation dynamics are simulated using the quantum jump approach combined with coherent modified Redfield theory (QJA-CMRT). The transfer efficiency exhibits a pronounced nonmonotonic dependence on pigment density, reaching a maximum of 0.86 at x=6 in the five-layer network. The optimal configuration contains 91 pigments, close to the number of core antenna pigments in natural PSI. Our combined density-of-states and kinetic analyses reveal that this nonmonotonic dependence originates from a trade-off: at low pigment densities, enhanced band overlap promotes energy transfer, whereas at high densities, excessive exciton delocalization compromises funnel directionality and reduces efficiency; the optimal configuration is consequently achieved at x=6. These findings provide insights into PSI antenna organization and offer guidelines for designing efficient artificial light-harvesting systems.

cond-mat.soft↗