2018
DOI: 10.1016/j.ces.2018.08.051
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Understanding of imidazolium group hydration and polymer structure for hydroxide anion conduction in hydrated imidazolium-g-PPO membrane by molecular dynamics simulations

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Cited by 45 publications
(28 citation statements)
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“…The RDF and its corresponding CN allow the quantification of such aggregation behavior (Figure 2e). 43,44 The partial radial distribution functions g (N–N) ( r ), which give the density probability for two neighboring QA nitrogen atoms at a given distance ( r ), can be calculated by the following equation: gNN()r=dNNρ4πr2italicdr where ρ is the average density of QA nitrogen in the system, dN N is the number of N species located in a shell of thickness dr with a distance r to adjacent N species. The corresponding CN values were defined as the average number of N species around a certain N species of interest.…”
Section: Results and Disscusionmentioning
confidence: 99%
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“…The RDF and its corresponding CN allow the quantification of such aggregation behavior (Figure 2e). 43,44 The partial radial distribution functions g (N–N) ( r ), which give the density probability for two neighboring QA nitrogen atoms at a given distance ( r ), can be calculated by the following equation: gNN()r=dNNρ4πr2italicdr where ρ is the average density of QA nitrogen in the system, dN N is the number of N species located in a shell of thickness dr with a distance r to adjacent N species. The corresponding CN values were defined as the average number of N species around a certain N species of interest.…”
Section: Results and Disscusionmentioning
confidence: 99%
“…The probability density distribution of the model segments of QAxPPO-P and QAxPPO (shown in Figure S7) were performed using MD simula- (Figure 2e). 43,44 The partial radial distribution functions g (N-N) (r), which give the density probability for two neighboring QA nitrogen atoms at a given distance (r), can be calculated by the following equation:…”
Section: Simulation Studiesmentioning
confidence: 99%
“…In addition to experimental studies, molecular simulation is considered as an effective tool to gain microscopic insights into complex physical phenomena or processes in many research areas [20][21][22][23][24]. The adsorption behaviors in nanopores of shale reservoirs were investigated via molecular simulation by many researchers [25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%
“…During the last twenty years, the development of molecular simulation (MS) technology has exhibited significant progress, especially since the 2013 Nobel Prize in Chemistry was awarded (Nie et al, 2018). To date, MS technology includes homology modelling (Nascimento et al, 2018), molecular docking (Arthur et al, 2018) and molecular dynamics simulation (Zhang et al, 2018), and combines free energy calculation (Mizuguchi & Matubayasi, 2018). Among these methods, molecular docking is the most widely used one in molecular modelling research.…”
Section: Introductionmentioning
confidence: 99%