The DOI matches its Crossref record.
Novel MOF‐Membrane for Molecular Sieving Predicted by IR‐Diffusion Studies and Molecular Modeling
Abstract
The predicted permeation selectivity of a binary gas mixture for a metal-organic framework ZIF-8 membrane was estimated from combined Grand Canonical Monte Carlo (GCMC) simulations and infrared microscopy (IRM) data and compared with permeation measurements on a ZIF-8 membrane. It is shown that membrane selectivity can be predicted and hence porous materials can be preselected for membrane applications thus saving time and effort in R&D.
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Citations
Cited by
Liu, X., Li, Y., Zhu, G., Ban, Y., Xu, L., & Yang, W. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201104383 · Cited by 355
Chen, J., Zhang, X., Huang, C., Cai, H., Hu, S., Wan, Q., Pei, X., & Wang, J. (2017) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.35960 · Cited by 150
Zhou, H., Hui, X., Li, D., Hu, D., Chen, X., He, X., Gao, L., Huang, H., Lee, C., & Mu, X. (2020) · Advanced Science · doi:10.1002/advs.202001173 · Cited by 136
Metadata
- Authors
- Bux, H., Chmelik, C., van Baten, J. M., Krishna, R., & Caro, J.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2010-09-02
- Volume
- 22
- Issue
- 42
- Pages
- 4741-4743
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2163222819
- Cited by
- 247
- References
- 0
- FWCI
- 44.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Novel MOF‐Membrane for Molecular Sieving Predicted by IR‐Diffusion Studies and Molecular Modeling. https://app.cochat.ai/papers/10.1002/adma.201002066
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- Bux, H., Chmelik, C., van Baten, J. M., Krishna, R., & Caro, J. (2010). Novel MOF‐Membrane for Molecular Sieving Predicted by IR‐Diffusion Studies and Molecular Modeling. Advanced Materials. https://doi.org/10.1002/adma.201002066
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
