It's an Interesting MOF, but Is It Stable?

Randall Q. Snurr

doi:10.1016/j.matt.2019.06.014

It's an Interesting MOF, but Is It Stable?

Randall Q. Snurr^*

^*Corresponding author for this work

Chemical and Biological Engineering

Research output: Contribution to journal › Short survey › peer-review

3 Scopus citations

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.

Original language	English (US)
Pages (from-to)	26-27
Number of pages	2
Journal	Matter
Volume	1
Issue number	1
DOIs	https://doi.org/10.1016/j.matt.2019.06.014
State	Published - Jul 10 2019

ASJC Scopus subject areas

Materials Science(all)

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10.1016/j.matt.2019.06.014

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@article{f43716f27b3747b19591c3bf336f6b99,

title = "It's an Interesting MOF, but Is It Stable?",

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.",

author = "Snurr, {Randall Q.}",

note = "Funding Information: The author is grateful to the US Department of Energy, Office of Science, Office of Basic Energy Sciences for support under award DE-FG02-08ER15967. R.Q.S. has a commercial interest in the company NuMat Technologies, which is seeking to commercialize metal-organic frameworks. Funding Information: The author is grateful to the US Department of Energy , Office of Science, Office of Basic Energy Sciences for support under award DE-FG02-08ER15967. Publisher Copyright: {\textcopyright} 2019 Elsevier Inc.",

year = "2019",

month = jul,

day = "10",

doi = "10.1016/j.matt.2019.06.014",

language = "English (US)",

volume = "1",

pages = "26--27",

journal = "Matter",