Structural and dynamical behavior of methane-water systems under nanoconfinement
José Torres-Arenas, Ángel M. Fernández-Fernández, Martín Pérez-Rodríguez, Manuel M. Piñeiro
Abstract
We investigate the structural and dynamical behavior of methane water systems under nanoconfinement using molecular dynamics simulations across pore widths from 1 to 5 nm. Structural analysis reveals a strong and nonmonotonic dependence on confinement: while tetrahedral ordering partially recovers as confinement is reduced, cubic like order associated with clathrate precursors is maximized at intermediate pore sizes. Radial distribution functions show that three dimensional correlations are suppressed under strong confinement, whereas lateral ordering persists, indicating a reduction in the effective dimensionality of structural organization. Transport properties reflect the same structural competition. Parallel diffusion is nonmonotonic with pore size, while perpendicular motion is subdiffusive due to confinement induced trapping and heterogeneity. Methane exhibits stronger subdiffusion and remains dynamically coupled to the water matrix. A characteristic confinement length scale emerges at which structural ordering, dynamical heterogeneity, and solvent solute decoupling are simultaneously maximized. At strong confinement, three dimensional correlations are suppressed, leading to dimensional reduction, frustrated ordering, and inhibited nucleation.
Create a lesson
Related papers
Geometry-Controlled Relaxation Spectra in Viscoelastic Fluids
Niloyendu Roy, Rupayan Saha, Debankur Das et al.
Dense HeLa cell monolayers remain liquid-like despite strong crowding
Suravi Pal, Nen Saito, Takeshi Kawasaki et al.
Transport of Deformable Vesicles Driven by Chiral Active Brownian Particles
Dipak Patra, Anil Kumar Dasanna
Conformational landscape of a macrocycle from REST enhanced sampling
Valentin Kasper, Nicole Holzmann, Sanjoy Ray et al.
Prediction of the maximum penetration of a circular intruder in a two-dimensional granular bed from its early trajectory using Machine Learning
Patricia Altshuler
Odd slip at chiral active surfaces
Yuto Hosaka, Andrej Vilfan