2021
DOI: 10.1039/d0fd00089b
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Multi-stimulus linear negative expansion of a breathing M(O2CR)4-node MOF

Abstract: Quartz-type MOF (Me2NH2)2[Cd(NO2BDC)2] (SHF-81) exhibits anisotropic breathing behaviour as single crystals in response to multiple stimuli.

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Cited by 2 publications
(2 citation statements)
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“…Further exploration of different solvents and the effect of any water content would be needed to draw more detailed conclusions; these aspects are being actively explored alongside computational modelling. Recent studies of MOFs comprising deformable M-(O 2 CR) 4 nÀ nodes [28,30,33,34] illustrate that these represent an emerging class of responsive dynamic MOFs with tuneable behaviour. The amenability to study in situ by single-crystal diffraction provides a route to detailed characterisation and understanding of this behaviour as a platform to future applications.…”
Section: Angewandte Chemiementioning
confidence: 99%
“…Further exploration of different solvents and the effect of any water content would be needed to draw more detailed conclusions; these aspects are being actively explored alongside computational modelling. Recent studies of MOFs comprising deformable M-(O 2 CR) 4 nÀ nodes [28,30,33,34] illustrate that these represent an emerging class of responsive dynamic MOFs with tuneable behaviour. The amenability to study in situ by single-crystal diffraction provides a route to detailed characterisation and understanding of this behaviour as a platform to future applications.…”
Section: Angewandte Chemiementioning
confidence: 99%
“…Further exploration of different solvents and the effect of any water content would be needed to draw more detailed conclusions; these aspects are being actively explored alongside computational modelling. Recent studies of MOFs comprising deformable M(O 2 CR) 4 n − nodes[ 28 , 30 , 33 , 34 ] illustrate that these represent an emerging class of responsive dynamic MOFs with tuneable behaviour. The amenability to study in situ by single‐crystal diffraction provides a route to detailed characterisation and understanding of this behaviour as a platform to future applications.…”
mentioning
confidence: 99%