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      Tuning the balance between dispersion and entropy to design temperature-responsive flexible metal-organic frameworks

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          Abstract

          Temperature-responsive flexibility in metal-organic frameworks (MOFs) appeals to the imagination. The ability to transform upon thermal stimuli while retaining a given crystalline topology is desired for specialized sensors and actuators. However, rational design of such shape-memory nanopores is hampered by a lack of knowledge on the nanoscopic interactions governing the observed behavior. Using the prototypical MIL-53(Al) as a starting point, we show that the phase transformation between a narrow-pore and large-pore phase is determined by a delicate balance between dispersion stabilization at low temperatures and entropic effects at higher ones. We present an accurate theoretical framework that allows designing breathing thermo-responsive MOFs, based on many-electron data for the dispersion interactions and density-functional theory entropy contributions. Within an isoreticular series of materials, MIL-53(Al), MIL-53(Al)-FA, DUT-4, DUT-5 and MIL-53(Ga), only MIL-53(Al) and MIL-53(Ga) are proven to switch phases within a realistic temperature range.

          Abstract

          Rational design of metal organic frameworks (MOFs) with shape-memory nanopores is a formidable challenge. Here the authors use an accurate theoretical approach to design thermo-responsive MOFs based on a balance of van der Waals and entropy contributions.

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          Most cited references89

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                Author and article information

                Contributors
                Veronique.VanSpeybroeck@UGent.be
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                21 November 2018
                21 November 2018
                2018
                : 9
                : 4899
                Affiliations
                [1 ]ISNI 0000 0001 2069 7798, GRID grid.5342.0, Center for Molecular Modeling, , Ghent University, ; Technologiepark 903, 9052 Zwijnaarde, Belgium
                [2 ]ISNI 0000 0001 2286 1424, GRID grid.10420.37, Faculty of Physics and Center for Computational Materials Science, , University of Vienna, ; Sensengasse 8/12, 1090 Vienna, Austria
                Author information
                http://orcid.org/0000-0002-4841-2608
                http://orcid.org/0000-0002-4462-8209
                http://orcid.org/0000-0003-2206-178X
                Article
                7298
                10.1038/s41467-018-07298-4
                6249296
                30464249
                a27f0f48-420b-42d0-ae8d-319adb8ba808
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 February 2018
                : 25 October 2018
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