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Adsorption of Gases in Metal Organic Materials: Comparison of Simulations and Experiments

Garberoglio, Giovanni, Skoulidas, Anastasios I., Johnson, J. Karl·2005·The Journal of Physical Chemistry B

Abstract

Molecular simulations using standard force fields have been carried out to model the adsorption of various light gases on a number of different metal organic framework-type materials. The results have been compared with the available experimental data to test the validity of the model potentials. We observe good agreement between simulations and experiments for a number of different cases and very poor agreement in other cases. Possible reasons for the discrepancy in simulated and measured isotherms are discussed. We predict hydrogen adsorption isotherms at 77 and 298 K in a number of different metal organic framework materials. The importance of quantum diffraction effects and framework charges on the adsorption of hydrogen at 77 K is discussed. Our calculations indicate that at room temperature none of the materials that we have tested is able to meet the requirements for on-board hydrogen storage for fuel cell vehicles. We have calculated the volume available in a given sorbent at a specified adsorption energy (density of states). We discuss how this density of states can be used to assess the effectiveness of a sorbent material for hydrogen storage.

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Metadata

Authors
Garberoglio, G., Skoulidas, A. I., & Johnson, J. K.
Venue
The Journal of Physical Chemistry B
Published
2005-06-21
Volume
109
Issue
27
Pages
13094-13103
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W2063716026
Cited by
389
References
0
FWCI
19.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adsorption of Gases in Metal Organic Materials: Comparison of Simulations and Experiments. https://app.cochat.ai/papers/10.1021/jp050948l
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Garberoglio, G., Skoulidas, A. I., & Johnson, J. K. (2005). Adsorption of Gases in Metal Organic Materials: Comparison of Simulations and Experiments. The Journal of Physical Chemistry B. https://doi.org/10.1021/jp050948l

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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.