2021
DOI: 10.1016/j.molliq.2021.115890
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Molecular dynamics study of dispersion and fluidity of porous liquids with different pore sizes

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Cited by 12 publications
(10 citation statements)
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“…The authors later included the pores of the porous liquids and examined the depth to which canopies of the grafted SiO 2 nanoparticles entered the pores. 70,71 Assessing suspension stability is specifically necessary when forming type III porous liquids from porous solids; solvent molecules must not only be excluded from the pores, they must stabilise the porous scaffolds. 41 Indeed, charge transfer from the alkyl chains of [P 6,6,6,14 ][Br] to the zeolite H-ZSM-5 upon alkyl chain penetration helps balance van der Waals forces and mitigates aggregation of the porous liquid in chloroform.…”
Section: Characterisation Of Porous Liquidsmentioning
confidence: 99%
“…The authors later included the pores of the porous liquids and examined the depth to which canopies of the grafted SiO 2 nanoparticles entered the pores. 70,71 Assessing suspension stability is specifically necessary when forming type III porous liquids from porous solids; solvent molecules must not only be excluded from the pores, they must stabilise the porous scaffolds. 41 Indeed, charge transfer from the alkyl chains of [P 6,6,6,14 ][Br] to the zeolite H-ZSM-5 upon alkyl chain penetration helps balance van der Waals forces and mitigates aggregation of the porous liquid in chloroform.…”
Section: Characterisation Of Porous Liquidsmentioning
confidence: 99%
“…73 Besides, reducing the pore size to an acceptable range was desirable for stability and fluidity, while gas sorption decreased because pore sizes were easily blocked by canopy. 74 Moreover, the linear and long canopy structures caused lower viscosity and better fluidity. This is due to the fact that the steric hindrance effect in these structures precipitates smaller relative entanglement depth and better dispersion.…”
Section: Types Of Porous Iquidsmentioning
confidence: 99%
“…As a kind of mass transfer behavior, phase transition can be judged by the self-diffusion coefficient, which is an important thermal physical property reflecting the strength of the particle diffusion behavior in the system. According to the Einstein equation, the self-diffusion coefficient is calculated from the long-time limit of the mean square displacement (MSD), and the calculation formula is as follows where r i ( t ) represents the position vector of particle i at time t and r i (0) is the position vector corresponding to the initial moment. The angle brackets represent the ensemble average.…”
Section: Simulation Detailsmentioning
confidence: 99%