Accelerated simulation method for charge regulation effects
Tine Curk, Jiaxing Yuan, Erik Luijten

TL;DR
This paper introduces an efficient Monte Carlo method for simulating charge regulation effects in complex systems, enabling accurate modeling of ionizable groups with linear computational scaling and implementation in LAMMPS.
Contribution
The paper presents a new hybrid MD/CR-MC simulation method with open-source implementation that accurately models charge redistribution in large systems, improving computational efficiency.
Findings
Quantified charge regulation effects on polyelectrolyte transitions.
Analyzed interactions between oppositely charged nanoparticles.
Achieved linear scaling with the number of ionizable groups.
Abstract
The net charge of solvated entities, ranging from polyelectrolytes and biomolecules to charged nanoparticles and membranes, depends on the local dissociation equilibrium of individual ionizable groups. Incorporation of this phenomenon, \emph{charge regulation}, in theoretical and computational models requires dynamic, configuration-dependent recalculation of surface charges and is therefore typically approximated by assuming constant net charge on particles. Various computational methods exist that address this. We present an alternative, particularly efficient charge regulation Monte Carlo method (CR-MC), which explicitly models the redistribution of individual charges and accurately samples the correct grand-canonical charge distribution. In addition, we provide an open-source implementation in the LAMMPS molecular dynamics (MD) simulation package, resulting in a hybrid MD/CR-MC…
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.
