English

A Statistical-Mechanical Model for Dipolar Chain Formation

Chemical Physics 2026-04-23 v1

Abstract

Dipolar fluids are known to exhibit complex self-assembly at low temperatures, yet a compact thermodynamic description of their aggregate statistics has remained elusive. Using molecular dynamics simulations of Stockmayer particles with a purely repulsive WCA core, we show that over broad regions of the (ρ\rho, TT) phase space the chain-size distribution follows an exponential decay with characteristic size s0s_0. Within this regime, we find that s0s_0 can be accurately described by an effective thermodynamic potential ϕ\phi that incorporates bonding energy, a crowding penalty, and translational entropy. Identifying deviations from this ideal scaling provides a further division of the phase space into four regions. Therefore, our results locate a regime of relatively simple chain statistics and offer an alternative regime-based perspective on dipolar self-assembly.

Keywords

Cite

@article{arxiv.2604.19912,
  title  = {A Statistical-Mechanical Model for Dipolar Chain Formation},
  author = {Zhongqi Liang and Jesús Peréz-Ríos},
  journal= {arXiv preprint arXiv:2604.19912},
  year   = {2026}
}

Comments

5 pages, 4 figures

R2 v1 2026-07-01T12:29:13.571Z