2006
DOI: 10.1021/la053402z
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Molecular Modeling of Porous Carbons Using the Hybrid Reverse Monte Carlo Method

Abstract: We apply a simulation protocol based on the reverse Monte Carlo (RMC) method, which incorporates an energy constraint, to model porous carbons. This method is called hybrid reverse Monte Carlo (HRMC), since it combines the features of the Monte Carlo and reverse Monte Carlo methods. The use of the energy constraint term helps alleviate the problem of the presence of unrealistic features (such as three- and four-membered carbon rings), reported in previous RMC studies of carbons, and also correctly describes th… Show more

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Cited by 172 publications
(174 citation statements)
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“…This is key, e.g., to help settle arguments such as the large variations reported in water fluxes through CNT--based RO membranes (discussed in section 2). Gubbins and coworkers developed advanced algorithms for reproducing the sub nm--level features of carbon adsorbents (177,178). Similar approaches should be attempted to replicate the physical properties of GO stacks used in RO membranes, to better understand how processing conditions determine the performance of such devices.…”
Section: Frontiers Of Simulation Studiesmentioning
confidence: 99%
“…This is key, e.g., to help settle arguments such as the large variations reported in water fluxes through CNT--based RO membranes (discussed in section 2). Gubbins and coworkers developed advanced algorithms for reproducing the sub nm--level features of carbon adsorbents (177,178). Similar approaches should be attempted to replicate the physical properties of GO stacks used in RO membranes, to better understand how processing conditions determine the performance of such devices.…”
Section: Frontiers Of Simulation Studiesmentioning
confidence: 99%
“…Further applications of the CRMC algorithm by Walters et al [12], Thomson and Gubbins [13] and Pikunic et al [14,15] yielded some success, while still demonstrating the presence of unphysical configurations in constructed models of disordered carbon, which appeared to be an intrinsic byproduct of the RMC algorithm [8,9]. The major improvement in this regard was the development of the Hybrid Reverse Monte Carlo (HRMC) technique [9,[16][17][18]. The new algorithm performs conventional CRMC simulation, while simultaneously implementing an energy minimization scheme using reactive force fields.…”
Section: ୀଵmentioning
confidence: 99%
“…The second material we consider is CS1000, a molecular reconstruction of a saccharose-based heat-activated carbon (CS) obtained by Hybrid Reverse Monte Carlo method (Jain et al 2006). CS1000 is a glassy nanoporous material composed of a highly cross-linked polymeric network (Fig.…”
Section: Simulation Of Nanoporous Polymermentioning
confidence: 99%