Abstract
The mechanical stability of metal-organic framework (MOF) structures is key to their functionality. In this issue of Matter, Moghadam et al. use high-throughput simulations and machine learning to derive structure-mechanical properties and predict bulk moduli of MOFs from a few physical parameters.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
