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How is Energy Profiles of the Ion Conduction Pathway studied with molecular dynamics simulations? 


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The study of energy profiles of ion conduction pathways through molecular dynamics (MD) simulations is a multifaceted approach that involves understanding the mechanisms of ion transport across various materials and biological systems. Gavin Winter et al. utilized neural network potentials trained on density functional theory (DFT) simulations to characterize ion conduction mechanisms in solid electrolytes, revealing a sublattice phase transition affecting ion mobility . Similarly, Suzuki et al. explored the ionic conduction in dielectric polymers, highlighting the differences in ionic transport mechanisms between polar and non-polar molecules through MD simulations . In the realm of biological systems, Jäger et al. applied dissipation-corrected targeted MD and Langevin simulations to study potassium diffusion through the Gramicidin A channel, finding coupled protein-ion dynamics and emphasizing the need to include polarization effects in ion diffusion simulations . Pohorille and Wilson developed theoretical approaches for calculating electrophysiological properties from MD simulations, using the electrodiffusion model to represent ion motion as one-dimensional diffusion, thereby simplifying the computation of energy profiles . Flood et al. reviewed the state of atomistic simulation methods for ion channels, illustrating how enhanced sampling approaches can converge on minimum free energy pathways for activation, thereby providing insights into ion conduction and selectivity . Alberini et al. performed atomistic MD simulations to study ionic permeation through voltage-gated sodium channels, using on-the-fly free-energy parametrization to calculate free energy surfaces related to Na+ translocation, offering new insights into ion conduction mechanisms . Fowler et al. calculated potentials of mean force (PMF) for potassium ion channels, aiming to relate structure to function, though they encountered challenges in predicting conductances in line with experimental data . Lastly, Liu and Patey investigated water and ion transport through carbon nanotubes, demonstrating how molecular structural effects and water models influence ion transport efficiencies, thereby affecting the energy profiles of ion conduction pathways . These studies collectively underscore the complexity of studying energy profiles of ion conduction pathways, employing MD simulations to unravel the intricate balance between structural dynamics, material properties, and external conditions influencing ion transport mechanisms.

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Energy profiles of ion conduction pathways are studied using dissipation-corrected targeted MD and Langevin equation simulations, revealing coupled protein-ion dynamics and accurate prediction of I-V characteristics.
Energy profiles of the ion conduction pathway are studied using molecular dynamics simulations with a neural network potential trained on DFT, revealing a sublattice phase transition affecting ion motion.
Energy profiles of ion conduction pathways are studied in polar and nonpolar polymers using molecular dynamics simulations, revealing molecular-level differences in ionic transport mechanisms between polyethylene and epoxy resin.
Energy profiles of ion conduction pathways are studied in polar and nonpolar polymers using molecular dynamics simulations, revealing molecular-level differences in ionic transport mechanisms between polyethylene and epoxy resin.

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