Polymer gelation involves the emergence of a system-spanning network from growing polymer-rich domains, yet conventional percolation models typically prescribe particle size independently of material consumption. We formulate gelation as a locally mass-conserving growth-percolation process in which Voronoi capture zones define finite material reservoirs for individual nuclei. Local depletion determines the evolving supersaturation and limiting particle size, while particle contacts generate a dynamic network whose first spanning cluster defines the gel point. Three mechanisms, namely, interface-, diffusion-, and polymer-blob-controlled growth produce distinct gelation kinetics while sharing the same accessible final state. Spatial fluctuations in nucleation further generate a distribution of gelation times. The framework separates gelation from saturation and naturally captures post-gel aging as continued growth and topological maturation.
Short-range-attractive, long-range-repulsive (SALR) interactions generate organization over multiple length scales, making the relation between aggregation and particle transport inherently nontrivial. Here, we use molecular-dynamics simulations to investigate how compression affects structure and mobility in a three-d...
M. S. Marques, J. R. Bordin· Soft Matter· 0 citations
Colloidal gels are frequently modeled as monodisperse particle networks, although practical formulations commonly contain particles with multiple characteristic sizes. Here, we use large-scale, hydrodynamically resolved simulations of colloidal depletion gels to isolate the effects of particle size and local packing in...
Robert A. A. Campbell, Zi-Ye Zhuang, A. Mohraz et al.· 0 citations
Cure-induced shrinkage in thermosetting polymers is generally assumed to reflect progressive densification during network formation. Here, we show that this assumption breaks down at gelation, which marks a transition in structural evolution. Using a model epoxy system, direct shrinkage measurements, wide-angle X-ray s...
We use the density of surface-grafted polymers as a geometry-preserving control parameter for tuning the rheology of colloidal depletion gels. Reducing brush density accelerates gelation and produces gels with higher plateau storage modulus and yield stress. This mechanical enhancement is not accompanied by increased l...
Zi-Ye Zhuang, Robert A. A. Campbell, Safa Jamali et al.· 0 citations
We introduce Active Model H$^{-}$, a scalar phase-field model of non-equilibrium phase separation in the overdamped hydrodynamic limit, and show that it produces filamentous networks with enhanced connections and arrested coarsening, a morphology not observed in existing scalar active field theories. Isolated filaments...
Elena Lucas, V. Venkatesh, Amin Doostmohammadi· 0 citations
We investigate the kinetics of bubble coarsening in a single-component Lennard-Jones fluid using large-scale molecular dynamics simulations. A homogeneous high-temperature system is quenched below the vapor-liquid critical temperature to induce nucleation and growth of vapor bubbles within a dense liquid matrix. The st...
P. A, Bhaskar Sen Gupta· Journal of Chemical Physics· 0 citations
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.