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Published on: September 17, 2021
Dynamic correlations in a polar fluid: Confronting stochastic density functional theory to simulations.
Sleeba Varghese1, Pierre Illien1, Benjamin Rotenberg1,2
1Sorbonne Université, CNRS, Laboratoire PHENIX (Physicochimie des Electrolytes et Nanosystèmes Interfaciaux), 4 Place Jussieu, 75005 Paris, France.
We developed a stochastic density functional theory (SDFT) to model polar fluid dynamics. Modified SDFT accurately predicts polarization fluctuations in Stockmayer fluids, crucial for electrolytes and biological systems.
Area of Science:
- Physics
- Physical Chemistry
- Computational Science
Background:
- Polar fluids like electrolytes and biological media require accurate dynamic behavior models.
- The Stockmayer fluid, a model for dipolar liquids, is key to understanding these dynamics.
Purpose of the Study:
- To develop and apply a stochastic density functional theory (SDFT) framework for polarization dynamics in Stockmayer fluids.
- To analyze longitudinal and transverse polarization field components using linearized SDFT.
- To compare SDFT predictions with Brownian Dynamics simulations.
Main Methods:
- Derivation of analytical expressions for intermediate scattering functions and dynamic structure factors from Langevin dynamics.
- Application of linearized stochastic density functional theory (SDFT).
- Comparison with Brownian Dynamics simulations and incorporation of the Kirkwood factor.
Main Results:
- Linearized SDFT accurately describes longitudinal polarization fluctuations.
- Transverse fluctuations were initially underestimated due to neglected dipolar correlations.
- Modified SDFT incorporating the Kirkwood factor achieved quantitative agreement for both components.
Conclusions:
- SDFT provides a valuable coarse-grained model for polar fluid dynamics.
- Collective effects significantly influence polarization relaxation in dipolar liquids.
- The modified SDFT framework offers improved accuracy for modeling complex polar systems.
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