Salma Benzaria
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View article: Machine learning potential for modelling H<sub>2</sub> adsorption/diffusion in MOFs with open metal sites
Machine learning potential for modelling H<sub>2</sub> adsorption/diffusion in MOFs with open metal sites Open
Machine learning potential is required to accurately describe the interactions between the challenging H 2 molecules and metal organic frameworks containing open metal sites.
View article: Machine Learning Potential for Modelling H$_2$ Adsorption/Diffusion in MOF with Open Metal Sites
Machine Learning Potential for Modelling H$_2$ Adsorption/Diffusion in MOF with Open Metal Sites Open
Metal-organic frameworks (MOFs) incorporating open metal sites (OMS) have been identified as promising sorbents for many societally relevant-adsorption applications including CO$_2$ capture, natural gas purification and H$_2$ storage. It i…
View article: Heat Release Kinetics upon Water Vapor Sorption Using Cation-Exchanged Zeolites and Prussian Blue Analogues as Adsorbents: Application to Short-Term Low-Temperature Thermochemical Storage of Energy
Heat Release Kinetics upon Water Vapor Sorption Using Cation-Exchanged Zeolites and Prussian Blue Analogues as Adsorbents: Application to Short-Term Low-Temperature Thermochemical Storage of Energy Open
In view of potential uses in short-term thermochemical heat storage by sorption of water vapor, the capacity to release a sufficient heat amount at the appropriate rate of a Prussian blue analogue (PBA) containing hexacyanocobaltate vacanc…