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Comparison of DFT characterization methods based on N2, Ar, CO2, and H2 adsorption applied to carbons with various pore size distributions
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Cited by
Porous materials with optimal adsorption thermodynamics and kinetics for CO2 separation
Nugent, P., Belmabkhout, Y., Burd, S. D., Cairns, A. J., Luebke, R., Forrest, K., Pham, T., Ma, S., Space, B., Wojtas, L., et al. (2013) · Nature · doi:10.1038/nature11893 · Cited by 2,387
Surface chemistry variations among a series of laboratory-produced biochars
Mukherjee, A., Zimmerman, A. R., & Harris, W. (2011) · Geoderma · doi:10.1016/j.geoderma.2011.04.021 · Cited by 1,171
Biochar impacts on soil physical properties and greenhouse gas emissions
Mukherjee, A., & Lal, R. (2013) · Agronomy · doi:10.3390/agronomy3020313 · Cited by 565
Activated carbons prepared from hydrothermally carbonized waste biomass used as adsorbents for CO2
Hao, W., Björkman, E., Lilliestråle, M., & Hedin, N. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.02.028 · Cited by 277
Jeong, C. Y., Dodla, S. K., & Wang, J. J. (2016) · Chemosphere · doi:10.1016/j.chemosphere.2015.05.084 · Cited by 210
Metadata
- Authors
- Jagiello, J., & Thommes, M.
- Venue
- Carbon
- Publisher
- Elsevier BV
- Published
- 2004
- Volume
- 42
- Issue
- 7
- Pages
- 1227-1232
- ISSN
- 0008-6223 (ISSN-L)
- OpenAlex
- W2075308715
- Cited by
- 478
- References
- 0
- FWCI
- 4.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Comparison of DFT characterization methods based on N2, Ar, CO2, and H2 adsorption applied to carbons with various pore size distributions. https://app.cochat.ai/papers/10.1016/j.carbon.2004.01.022
- The paper
- Jagiello, J., & Thommes, M. (2004). Comparison of DFT characterization methods based on N2, Ar, CO2, and H2 adsorption applied to carbons with various pore size distributions. Carbon. https://doi.org/10.1016/j.carbon.2004.01.022
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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.
