All Outputs (4)

Machine learning insights into predicting biogas separation in metal-organic frameworks (2024)
Journal Article
Cooley, I., Boobier, S., Hirst, J. D., & Besley, E. (2024). Machine learning insights into predicting biogas separation in metal-organic frameworks. Communications Chemistry, 7, Article 102. https://doi.org/10.1038/s42004-024-01166-7

Breakthroughs in efficient use of biogas fuel depend on successful separation of carbon dioxide/methane streams and identification of appropriate separation materials. In this work, machine learning models are trained to predict biogas separation pro... Read More about Machine learning insights into predicting biogas separation in metal-organic frameworks.

Understanding the Electron Beam Resilience of Two-Dimensional Conjugated Metal–Organic Frameworks (2024)
Journal Article
Mücke, D., Cooley, I., Liang, B., Wang, Z., Park, S., Dong, R., …Kaiser, U. (2024). Understanding the Electron Beam Resilience of Two-Dimensional Conjugated Metal–Organic Frameworks. Nano Letters, 24(10), 3014–3020. https://doi.org/10.1021/acs.nanolett.3c04125

Knowledge of the atomic structure of layer-stacked two-dimensional conjugated metal–organic frameworks (2D c-MOFs) is an essential prerequisite for establishing their structure–property correlation. For this, atomic resolution imaging is often the me... Read More about Understanding the Electron Beam Resilience of Two-Dimensional Conjugated Metal–Organic Frameworks.

Computational Predictions for Effective Separation of Xenon/Krypton Gas Mixtures in the MFM Family of Metal-Organic Frameworks (2022)
Journal Article
Cooley, I., Efford, L., & Besley, E. (2022). Computational Predictions for Effective Separation of Xenon/Krypton Gas Mixtures in the MFM Family of Metal-Organic Frameworks. Journal of Physical Chemistry C, 126(28), 11475-11486. https://doi.org/10.1021/acs.jpcc.2c02237

This study shows that a range of separation applications for the MFM family of metal-organic frameworks (MOFs) can be expanded to include effective separations of Xe/Kr binary gas mixtures. The MFM family of copper paddlewheel-based, isoreticular MOF... Read More about Computational Predictions for Effective Separation of Xenon/Krypton Gas Mixtures in the MFM Family of Metal-Organic Frameworks.

Fission gas released from molten salt reactor fuel: the case of noble gas short life radioisotopes for radiopharmaceutical application (2021)
Journal Article
Degueldre, C., Dawson, R., Cooley, I., & Besley, E. (2021). Fission gas released from molten salt reactor fuel: the case of noble gas short life radioisotopes for radiopharmaceutical application. Medicine in Novel Technology and Devices, 10, Article 100057. https://doi.org/10.1016/j.medntd.2021.100057

The present study explores the potential of fission gas (Kr and Xe short life radioisotopes) released from a molten salt reactor, the separation of these noble gases using specific absorbents under well fixed conditions and the utilisation of these r... Read More about Fission gas released from molten salt reactor fuel: the case of noble gas short life radioisotopes for radiopharmaceutical application.