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Determination of Pore Size Distribution from Density Functional Theory: A Comparison of Nitrogen and Argon Results
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Cited by
Neimark, A. V., Sing, K. S. W., & Thommes, M. (2008) · Handbook of Heterogeneous Catalysis · doi:10.1002/9783527610044.hetcat0037 · Cited by 1,301
Density functional theory methods for characterization of porous materials
Landers, J., Gor, G. Y., & Neimark, A. V. (2013) · Colloids and Surfaces A: Physicochemical and Engineering Aspects · doi:10.1016/j.colsurfa.2013.01.007 · Cited by 1,239
Quenched solid density functional theory and pore size analysis of micro-mesoporous carbons
Neimark, A. V., Lin, Y., Ravikovitch, P. I., & Thommes, M. (2009) · Carbon · doi:10.1016/j.carbon.2009.01.050 · Cited by 868
Progress in the Physisorption Characterization of Nanoporous Gas Storage Materials
Cychosz, K. A., & Thommes, M. (2018) · Engineering · doi:10.1016/j.eng.2018.06.001 · Cited by 782
Physical adsorption characterization of nanoporous materials: progress and challenges
Thommes, M., & Cychosz, K. A. (2014) · Adsorption · doi:10.1007/s10450-014-9606-z · Cited by 767
Metadata
- Venue
- Studies in Surface Science and Catalysis
- Publisher
- Elsevier
- Published
- 1994
- Pages
- 81-89
- ISSN
- 0167-2991 (ISSN-L)
- OpenAlex
- W110740096
- Cited by
- 192
- References
- 0
- FWCI
- 17.93
- Type
- book chapter
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Determination of Pore Size Distribution from Density Functional Theory: A Comparison of Nitrogen and Argon Results. https://app.cochat.ai/papers/10.1016/s0167-2991(08)63067-0
- The paper
- Determination of Pore Size Distribution from Density Functional Theory: A Comparison of Nitrogen and Argon Results. (1994). Studies in Surface Science and Catalysis. https://doi.org/10.1016/s0167-2991(08)63067-0
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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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
