Dynamic correlations in a polar fluid: confronting stochastic density functional theory to simulations
Sleeba Varghese, Pierre Illien, Benjamin Rotenberg

TL;DR
This paper develops a stochastic density functional theory to model polarization dynamics in polar fluids, specifically the Stockmayer fluid, and validates it against simulations, revealing strengths and limitations in describing collective polarization fluctuations.
Contribution
The paper introduces a linearized stochastic density functional theory for dipolar fluids and demonstrates its effectiveness in capturing polarization dynamics compared to simulations.
Findings
SDFT accurately predicts longitudinal polarization fluctuations.
Transverse fluctuations are underestimated without correction.
Incorporating the Kirkwood factor improves agreement with simulations.
Abstract
Understanding the dynamic behavior of polar fluids is essential for modeling complex systems such as electrolytes and biological media. In this work, we develop and apply a Stochastic Density Functional Theory (SDFT) framework to describe the polarization dynamics in the Stockmayer fluid, a prototypical model of dipolar liquids consisting of Lennard-Jones particles with embedded point dipoles. Starting from the overdamped Langevin dynamics of dipolar particles, we derive analytical expressions for the intermediate scattering functions and dynamic structure factors of the longitudinal and transverse components of the polarization field, within linearized SDFT. To assess the theory's validity, we compare its predictions with results from Brownian Dynamics simulations of the Stockmayer fluid. We find that SDFT captures the longitudinal polarization fluctuations accurately, while transverse…
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.
Taxonomy
TopicsCharacterization and Applications of Magnetic Nanoparticles · Micro and Nano Robotics · Microfluidic and Bio-sensing Technologies
