A Case Study of Sedimentation of Charged Colloids: The Primitive Model and the Effective One-Component Approach
Aldemar Torres, Alejandro Cuetos, Marjolein Dijkstra, Rene van Roij

TL;DR
This study compares theoretical and simulation approaches to sedimentation profiles of charge-stabilized colloids, revealing that effective one-component models can accurately replicate multi-component models, but Poisson-Boltzmann theory has limitations due to correlation effects.
Contribution
It demonstrates that effective one-component models can match multi-component models in sedimentation studies, highlighting the limitations of Poisson-Boltzmann theory in certain regimes.
Findings
Effective one-component models agree with multi-component simulations.
Poisson-Boltzmann theory matches effective models with adjusted charge.
Correlations are poorly treated in Poisson-Boltzmann approximation.
Abstract
Sedimentation-diffusion equilibrium density profiles of suspensions of charge-stabilized colloids are calculated theoretically and by Monte Carlo simulation, both for a one-component model of colloidal particles interacting through pairwise screened-Coulomb repulsions and for a three-component model of colloids, cations, and anions with unscreened-Coulomb interactions. We focus on a state point for which experimental measurements are available [C.P. Royall et al., J. Phys.: Cond. Matt. {\bf 17}, 2315 (2005)]. Despite the apparently different picture that emerges from the one- and three-component model (repelling colloids pushing each other to high altitude in the former, versus a self-generated electric field that pushes the colloids up in the latter), we find similar colloidal density profiles for both models from theory as well as simulation, thereby suggesting that these pictures…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
