Publications by authors named "Filippo Savazzi"

Article Synopsis
  • Reduced graphene oxide (rGO) shows promise for many applications in water-based settings, making it essential to understand how it interacts with water.
  • The study uses molecular dynamics simulations to explore how water behaves around rGO, finding that the material's ability to attract water (hydrophilicity) improves with more oxygen-containing groups.
  • Results also indicate that water trapped between rGO layers moves similarly to water in its bulk form, suggesting rGO membranes could be useful for various water-related applications.
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Nanoporous graphene is considered the next-generation material for reverse osmosis water desalination providing both high water permeability and almost complete salt rejection. The main problem with graphene is the difficulty of synthesizing membranes with a consistent subnanometer pore size distribution. A recently proposed solution involves processing as-grown graphene oxide (GO) monolayers via a mild temperature annealing pre-treatment causing GO functional groups to cluster into small oxidized islands.

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Nanoporous graphene was proposed as an efficient material for reverse osmosis water desalination membranes because it allows water molecules to pass at high flux while rejecting hydrated salt ions. Nevertheless, from an experimental point of view it is still difficult to control the pore size. A scalable method to generate pores is urgently required for the diffusion of this technology.

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Graphene oxide (GO) is a versatile 2D material whose properties can be tuned by changing the type and concentration of oxygen-containing functional groups attached to its surface. However, a detailed knowledge of the dependence of the chemo/physical features of this material on its chemical composition is largely unknown. We combine classical molecular dynamics and density functional theory simulations to predict the structural and electronic properties of GO at low degree of oxidation and suggest a revision of the Lerf-Klinowski model.

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