2008
DOI: 10.1016/j.ces.2008.03.032
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A pore network model for diffusion in nanoporous carbons: Validation by molecular dynamics simulation

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Cited by 36 publications
(30 citation statements)
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“…Different VPC models were proposed [1][2][3]. The most popular VPC models were proposed by Biggs et al [1,[4][5][6][7], Do et al [8][9][10][11][12][13][14], and Harris et al [15][16][17][18][19][20][21]. VPCs are also generated using a combination of experimental diffraction data and Monte Carlo simulations (reverse Monte Carlo (RMC) or hybrid reverse Monte Carlo (HRMC) techniques) -see for example [22][23][24][25][26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%
“…Different VPC models were proposed [1][2][3]. The most popular VPC models were proposed by Biggs et al [1,[4][5][6][7], Do et al [8][9][10][11][12][13][14], and Harris et al [15][16][17][18][19][20][21]. VPCs are also generated using a combination of experimental diffraction data and Monte Carlo simulations (reverse Monte Carlo (RMC) or hybrid reverse Monte Carlo (HRMC) techniques) -see for example [22][23][24][25][26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%
“…Molecular dynamics (MD) simulation (Cai et al, 2008) is used in this study to investigate 84 thermo-physical properties of anatase and rutile TiO2 nanoparticles. Simulations were 85 performed for initially spherical particles with diameter ranging from 2 to 6 nm and for 86 different temperatures in the range from 300 to 3000 K. Thermodynamic and structural 87 properties, including radial distribution functions and surface energy for anatase and rutile 88 polymorphs are reported for different particle sizes as a function of temperature.…”
mentioning
confidence: 99%
“…As such the network model [30][31][32] will be adopted, which, in its general form, is adequate for interpreting the derived porosity values. In this model it is assumed that pores are connected through channels and pores plus channels are referred as a network.…”
Section: Comparison Of the Resultsmentioning
confidence: 99%