2013
DOI: 10.1021/ma400334b
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Toward Effective CO2/CH4 Separations by Sulfur-Containing PIMs via Predictive Molecular Simulations

Abstract: Listed below are the simulation details of each sample set of PIMs including: the simulation box length, the total number of united atoms in the box, and the weight average molecular weight of the polymer chains within the simulated sample. Also shown are the generalized amber force field atom definition, the Transferable Potential for Phase Equilibria type definition and parameters, and the ab initio calculated partial charge for each united atom type in each polymer. Molecular simulation details of each samp… Show more

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Cited by 57 publications
(63 citation statements)
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References 88 publications
(137 reference statements)
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“…Molecular simulations of PIM-1, using the same force field model used here, have been shown to resemble the physical polymer in properties, such as BET surface area, adsorption isotherms, enthalpies of adsorption, gas selectivities and wide angle X-ray scattering experimental data, in previous works of the authors [ 18 , 26 , 35 , 37 , 46 ]. Moreover, the results of the structural characterization of the PIM-1 (2D) model is in excellent agreement with the average values of the previous 3D periodic PIM-1 simulated samples (“PIM-1 (sims.…”
Section: Molecular Modelingmentioning
confidence: 80%
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“…Molecular simulations of PIM-1, using the same force field model used here, have been shown to resemble the physical polymer in properties, such as BET surface area, adsorption isotherms, enthalpies of adsorption, gas selectivities and wide angle X-ray scattering experimental data, in previous works of the authors [ 18 , 26 , 35 , 37 , 46 ]. Moreover, the results of the structural characterization of the PIM-1 (2D) model is in excellent agreement with the average values of the previous 3D periodic PIM-1 simulated samples (“PIM-1 (sims.…”
Section: Molecular Modelingmentioning
confidence: 80%
“…In order to construct an atomistic sample of a slice of an amorphous polymer, the predictive virtual synthesis software, Polymatic [ 34 , 35 ], in conjunction with the LAMMPS simulation package [ 36 ], was used. Polymatic has recently been used to simulate a wide variety of polymeric materials, including porous [ 18 , 37 , 38 , 39 ] and nonporous glassy [ 35 ], linear [ 40 ], networked [ 41 , 42 , 43 ] and composite polymer structures [ 44 ]. One of the benefits of using this procedure is the versatility in designing an environment in which the sample is polymerized.…”
Section: Molecular Modelingmentioning
confidence: 99%
“…The above observations demonstrate that the thermal regeneration energy does not correlate strongly with the common used single structural properties. In our previous work (Wu et al, 2012a), a concept of "adsorbility" (AD) was proposed to build the structure-property relationships for MOFs and then successfully by others applied to porous polymeric systems (Hart et al, 2013 "solubility parameter" in solution theory that can be used as an estimate of the compatibility (mutual solubility) of two components in solution. The adsorbility of an adsorbate in a nanoporous material is defined as AD ¼ E ad ¼ Q 0 st =φ, where Q 0 st is the isosteric heat of adsorption at infinite dilution in units of kJ/mol for an adsorbate, and φ is the material's free volume in units of cm 3 /cm 3 , which is also known as the porosity.…”
Section: Structure-separation Performance Relationshipsmentioning
confidence: 99%
“…Pressure swing adsorption (PSA) has been previously proposed as a technology suitable for CH 4 /CO 2 separation typically using a zeolite (e.g., 13X, 4A, or silicalite), metal‐organic framework (MOF), zeolitic imidazolate framework, activated carbon, sepiolite, or polymer as the sorbent. For zeolites and MOFs, for which there exist databases containing thousands of possible candidates, an efficient computational screening procedure is required.…”
Section: Introductionmentioning
confidence: 99%