The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Progress in the Physisorption Characterization of Nanoporous Gas Storage Materials
Open accessAbstract
Assessing the adsorption properties of nanoporous materials and determining their structural characterization is critical for progressing the use of such materials for many applications, including gas storage. Gas adsorption can be used for this characterization because it assesses a broad range of pore sizes, from micropore to mesopore. In the past 20 years, key developments have been achieved both in the knowledge of the adsorption and phase behavior of fluids in ordered nanoporous materials and in the creation and advancement of state-of-the-art approaches based on statistical mechanics, such as molecular simulation and density functional theory. Together with high-resolution experimental procedures for the adsorption of subcritical and supercritical fluids, this has led to significant advances in physical adsorption textural characterization. In this short, selective review paper, we discuss a few important and central features of the underlying adsorption mechanisms of fluids in a variety of nanoporous materials with well-defined pore structure. The significance of these features for advancing physical adsorption characterization and gas storage applications is also discussed.
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Self-citationN‐Doped Polypyrrole‐Based Porous Carbons for CO2 Capture
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A Statistical Approach to Determine Optimal Models for IUPAC-Classified Adsorption Isotherms
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Conjugated porous polymers: incredibly versatile materials with far-reaching applications
Taylor, D., Dalgarno, S. J., Xu, Z., & Vilela, F. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00315k · Cited by 259
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Metadata
- Authors
- Cychosz, K. A., & Thommes, M.
- Venue
- Engineering
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 4
- Issue
- 4
- Pages
- 559-566
- ISSN
- 2095-8099 (ISSN-L)
- OpenAlex
- W2808028132
- Cited by
- 782
- References
- 32
- FWCI
- 19.63
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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