2015
DOI: 10.1016/j.polymertesting.2015.05.010
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On O2 gas permeability of PP/PLA/clay nanocomposites: A molecular dynamic simulation approach

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Cited by 49 publications
(44 citation statements)
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“…These coordinates as a function of time indicate the itinerary of the system. The system has alteration at the first while reaching to an equilibrium state thereupon and most of the macroscopic properties such as diffusion can be deciphered by averaging over an equilibrium itinerary . With the help of MD simulation, the diffusivity of gases through organic solvents and polymers can be computed by specifying the mean square displacement (MSD) of the gases in the materials.…”
Section: Characterizationmentioning
confidence: 99%
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“…These coordinates as a function of time indicate the itinerary of the system. The system has alteration at the first while reaching to an equilibrium state thereupon and most of the macroscopic properties such as diffusion can be deciphered by averaging over an equilibrium itinerary . With the help of MD simulation, the diffusivity of gases through organic solvents and polymers can be computed by specifying the mean square displacement (MSD) of the gases in the materials.…”
Section: Characterizationmentioning
confidence: 99%
“…In long periods of times, MDS behaves as a linear function of time and the diffusion coefficient can be calculated using Einstein equation D=16Nlimtddttrue(iNtrue[ri(t)ri(0)true]2true) where, (| r ( t ) − r (0)|) represents the displacement of permeating gases from their primitive positions. From the slope of the plot of the MSD against time t , the diffusion coefficient, D , is achieved …”
Section: Characterizationmentioning
confidence: 99%
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