2015
DOI: 10.1021/acs.jpcc.5b08554
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Molecular Simulation Studies of the Diffusion of Methane, Ethane, Propane, and Propylene in ZIF-8

Abstract: ZIF-8 is a strong candidate for propane/propylene separation, which is regarded as one of the most industrially demanding. Molecular simulation of this separation must account for the flexibility of the structure, which enables the adsorption and diffusion of molecules with kinetic diameter larger than the apertures of the pores. Moreover, this simulation requires modeling subtle changes since the strong sieving effect upon the mixture depends on the very small differences between propane and propylene molecul… Show more

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Cited by 98 publications
(113 citation statements)
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References 45 publications
(110 reference statements)
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“…Corrected diffusivities from FR and IRM have similar trend, and show a slight minimum between 1 and 2 bar (∼50% coverage). The extracted corrected diffusivities at low coverage are in good agreement with the D 0 value of 8.8 × 10 −12 m 2 /s obtained using membrane permeation technique at 35°C and the self‐diffusivity of 1.0 × 10 −11 m 2 / s from molecular simulation . The transport diffusivities from IRM are more or less constant at low loadings, but have a strong increase in the range above 3.5 molecules per cage, corresponding to pressure above 1 bar.…”
Section: Resultssupporting
confidence: 81%
“…Corrected diffusivities from FR and IRM have similar trend, and show a slight minimum between 1 and 2 bar (∼50% coverage). The extracted corrected diffusivities at low coverage are in good agreement with the D 0 value of 8.8 × 10 −12 m 2 /s obtained using membrane permeation technique at 35°C and the self‐diffusivity of 1.0 × 10 −11 m 2 / s from molecular simulation . The transport diffusivities from IRM are more or less constant at low loadings, but have a strong increase in the range above 3.5 molecules per cage, corresponding to pressure above 1 bar.…”
Section: Resultssupporting
confidence: 81%
“…[8][9][10] In particular, the zeolitic imidazolate framework-8 (ZIF-8) was revealed as ap romising MOF for such ak inetic control of the separation. [11][12][13][14] Many approaches have recently been considered, such as linker exchange,metal substitution, and configuration optimization, to enhance the C 3 H 6 /C 3 H 8 diffusion selectivity achieved by ZIF-8 derivatives. [11,[15][16][17][18][19] Boosting the level of performance of ZIF-8 for such challenging separations is atopical area of research, since any improvement in terms of selectivity is expected to lead to asignificant advantage from an economic standpoint.…”
Section: Bin Zheng and Guillaume Maurin*mentioning
confidence: 99%
“…As afurther stage,the diffusivities of propylene and propane in ZIF-8 with the loading of five molecules/unit cell (corresponding roughly to the experimental half-saturation) were computed at 1bar. [13] Since these two hydrocarbons show slow diffusion rates,M Ds imulations were performed at high temperatures and their self-diffusivities (D s )a tr oom temperature were assessed from the Arrhenius representation (see Figure S7). [13] Ther esulting D s values for C 3 H 6 and C 3 H 8 are 1.97 10 À12 m 2 s À1 and 1.26 10 À13 m 2 s À1 , respectively,a t3 00 K. These simulated data are within the same range as available calculated values.…”
Section: Bin Zheng and Guillaume Maurin*mentioning
confidence: 99%
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“…This problem was resolved by Seminario, who proposed determining force constants via diagonalization of partial QM Hessian matrices in Cartesian coordinates . Indeed, the Seminario method allows fast parameterization and has been implemented and used by many research groups, especially for deriving force constant parameters required for MM simulations of metalloproteins, nanosystems, a metal‐organic framework (MOF), an ionic liquid, and so on. Burger et al developed another efficient approach that makes use of a projected Hessian for a single internal coordinate to determine k b and k a , thereby circumventing the abovementioned ambiguity problem …”
Section: Introductionmentioning
confidence: 99%