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Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography

Accepted version
Peer-reviewed

Type

Article

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Authors

MacArthur, Katherine 
Longley, Louis 
Benning, Martin 

Abstract

Several distinct mixing processes and resulting microstructures have recently been reported in multicomponent glasses prepared from multiple metal-organic frameworks (MOFs). Here, two illustrative examples of multicomponent zeolitic imidazolate framework (ZIF) glasses, the (aTZIF-4-Co)0.5(agZIF-62)0.5 blend and the ag[(ZIF-67)0.2(ZIF-62)0.8] flux melted glass, are studied. These materials are characterized by quantitative X-ray energy dispersive spectroscopy in the scanning transmission electron microscope (STEM). By advancing a partial ionization cross-section methodology using standards of arbitrary morphology, quantitative nanoscale elemental analysis throughout the glass volume is achieved. In turn, phase diagrams describing the mixing states are presented, offering mechanistic insight into the formation of the observed microstructures. Significant miscibility was observed in ag[(ZIF-67)0.2(ZIF-62)0.8]. These findings establish phase-segregation and inter-diffusion as two processes in multi-component glass formation, which explains the different outcomes observed in blending and flux-melting.

Description

Keywords

Journal Title

APL Materials

Conference Name

Journal ISSN

2166-532X

Volume Title

7

Publisher

AIP Publishing LLC

Rights

All rights reserved
Sponsorship
Engineering and Physical Sciences Research Council (EP/M00483X/1)
Leverhulme Trust (RPG-2015-250)
Engineering and Physical Sciences Research Council (EP/N014588/1)
Engineering and Physical Sciences Research Council (EP/R008779/1)
S.M.C. acknowledges the Henslow Research Fellowship and Girton College, Cambridge. K.E.M. acknowledges the Helmholtz Association for funding this research through a Postdoctoral Research Fellowship. T.D.B. would like to thank the Royal Society for a University Research Fellowship (UF150021), and EPSRC (grant EP/R015481/1). L.L. acknowledges an EPSRC studentship. P.A.M. acknowledges the EPSRC (EP/R008779/1). M.B. acknowledges the Leverhulme Trust Early Career Fellowship ECF-2016-611. C.-B.S. acknowledges support from the Leverhulme Trust project Breaking the non-convexity barrier, EPSRC grant EP/M00483X/1, EPSRC centre EP/N014588/1 and from CHiPS (Horizon 2020 RISE project grant). R.T. acknowledges funding from EPSRC grant EP/L016516/1 for the Cambridge Centre for Analysis. R.T. and C.-B.S. also acknowledge the Cantab Capital Institute for Mathematics of Information.