The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
pyIAST: Ideal adsorbed solution theory (IAST) Python package
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An Introduction to the Bootstrap
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UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations
Rappe, A. K., Casewit, C. J., Colwell, K. S., Goddard, W. A., & Skiff, W. M. (1992) · Journal of the American Chemical Society · doi:10.1021/ja00051a040 · Cited by 10,557
Hydrogen-storage materials for mobile applications
Schlapbach, L., & Züttel, A. (2001) · Nature · doi:10.1038/35104634 · Cited by 8,865
Design and synthesis of an exceptionally stable and highly porous metal-organic framework
Li, H., Eddaoudi, M., O'Keeffe, M., & Yaghi, O. M. (1999) · Nature · doi:10.1038/46248 · Cited by 8,554
Insights into the modeling of adsorption isotherm systems
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Metal-organic framework materials as catalysts
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Cited by
Green metrics in mechanochemistry
Fantozzi, N., Volle, J.-N., Porcheddu, A., Virieux, D., García, F., & Colacino, E. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00997h · Cited by 336
Siegelman, R. L., Milner, P. J., Kim, E. J., Weston, S. C., & Long, J. R. (2019) · Energy & Environmental Science · doi:10.1039/c9ee00505f · Cited by 203
Computational Approaches to Zeolite-Based Adsorption Processes
Gutiérrez-Sevillano, J. J., & Calero, S. (2020) · Structure and Bonding · doi:10.1007/430_2020_66 · Cited by 4
Metadata
- Authors
- Simon, C. M., Smit, B., & Haranczyk, M.
- Venue
- Computer Physics Communications
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 200
- Pages
- 364-380
- ISSN
- 0010-4655 (ISSN-L)
- OpenAlex
- W2212542377
- Cited by
- 304
- References
- 58
- Type
- software paper
- Language
- en
- Open access
- bronze
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- Simon, C. M., Smit, B., & Haranczyk, M. (2016). pyIAST: Ideal adsorbed solution theory (IAST) Python package. Computer Physics Communications. https://doi.org/10.1016/j.cpc.2015.11.016
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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.
