Valiullin et al.
[J. Phys. Chem. C
2019, 123, 16239] have developed a statistical theory describing adsorption/desorption
hysteresis in one-dimensional pore structures with structural disorder.
The theory captures the behavior of such systems based on simple rules
for the phase transformations in individual pores together with assumptions
about the role of pore connectivity. To test this theory, we have
developed an algorithmic method for exact construction of sorption
isotherms for chains of pores from single pore isotherms. We show
that the predictions of the statistical theory are indeed very accurate.
We have used the statistical theory to extract the pore size distribution
(PSD) and chain lengths using both adsorption and desorption branches
of the isotherm obtained by the algorithmic model on various pore
structures. The predicted PSD’s and chain lengths are in excellent
agreement with the actual properties of the original structures. We
conclude that the statistical theory offers a new direction toward
a more accurate characterization methodology of nanoporous materials.
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