SearcharxivSearch

arXiv subjects

Hessam Malmir

Publications and source records attributed to Hessam Malmir.

2 recordsLinked to original sources

Induced Charge Anisotropy: a Hidden Variable Affecting Ion Transport through Membranes

The ability of semipermeable membranes to selectively impede the transport of undesirable solutes is key to many applications. Yet, obtaining a systematic understanding of how membrane structure affects selectivity remains elusive due to the insufficient spatiotemporal resolution of existing experimental techniques, and the inaccessibility of relevant solute transport timescales to conventional molecular simulations. Here, we utilize jumpy forward-flux sampling to probe the transport of sodium and chloride ions through a graphitic membrane with sub-nm pores. We find chlorides to traverse the pore at rates over two orders of magnitude faster than sodiums. We also identify two major impediments to the transport of both ion types. In addition to the partial dehydration of the leading ion, its traversal induces charge anisotropy at its rear, which exerts a net restraining force on the ion. Charge anisotropy is therefore a crucial hidden variable controlling the kinetics of ion transport through nanopores.

cond-mat.soft

Morphology and Kinetics of Random Sequential Adsorption of Superballs: From Hexapods to Cubes

Superballs represent a class of particles whose shapes are defined by ${|x|}^{2p}+{|y|}^{2p}+{|z|}^{2p} \le R^{2p}$, with $p\in(0,\infty)$ being the "deformation parameter". $0 1$ one has, respectively, families of convex octahedrallike and cubelike particles, with $p=1,\;0.5$ and $\infty$ representing spheres, octahedra, and cubes. Colloidal zeolite suspensions, catalysis, and adsorption, as well as biomedical magnetic nanoparticles are but a few of the applications of packing of superballs. We introduce a universal method for simulating random sequential adsorption of superballs, which we refer to as "low-entropy" algorithm, in contrast with the conventional algorithm that represents a "high-entropy" method. The two algorithms yield, respectively, precise estimates of the jamming fraction $ϕ_\infty(p)$ and $ν(p)$, the exponent that characterizes the kinetics of adsorption at long times $t$, $ϕ(\infty)-ϕ(t)\sim t^{-ν(p)}$. Precise estimates of $ϕ_\infty(p)$ and $ν(p)$ are obtained and shown to be in agreement, in some special limits, with the existing analytical and numerical results.

cond-mat.soft