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Physical networks from entropy-driven non-covalent interactions

Physical networks typically employ enthalpy-dominated crosslinking interactions that become more dynamic at elevated temperatures, leading to network softening. Moreover, standard mathematical frameworks such as time-temperature superposition assume network softening and faster dynamics at elevated...

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Autores principales: Yu, Anthony C., Lian, Huada, Kong, Xian, Lopez Hernandez, Hector, Qin, Jian, Appel, Eric A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854746/
https://www.ncbi.nlm.nih.gov/pubmed/33531475
http://dx.doi.org/10.1038/s41467-021-21024-7
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author Yu, Anthony C.
Lian, Huada
Kong, Xian
Lopez Hernandez, Hector
Qin, Jian
Appel, Eric A.
author_facet Yu, Anthony C.
Lian, Huada
Kong, Xian
Lopez Hernandez, Hector
Qin, Jian
Appel, Eric A.
author_sort Yu, Anthony C.
collection PubMed
description Physical networks typically employ enthalpy-dominated crosslinking interactions that become more dynamic at elevated temperatures, leading to network softening. Moreover, standard mathematical frameworks such as time-temperature superposition assume network softening and faster dynamics at elevated temperatures. Yet, deriving a mathematical framework connecting the crosslinking thermodynamics to the temperature-dependent viscoelasticity of physical networks suggests the possibility for entropy-driven crosslinking interactions to provide alternative temperature dependencies. This framework illustrates that temperature negligibly affects crosslink density in reported systems, but drastically influences crosslink dynamics. While the dissociation rate of enthalpy-driven crosslinks is accelerated at elevated temperatures, the dissociation rate of entropy-driven crosslinks is negligibly affected or even slowed under these conditions. Here we report an entropy-driven physical network based on polymer-nanoparticle interactions that exhibits mechanical properties that are invariant with temperature. These studies provide a foundation for designing and characterizing entropy-driven physical crosslinking motifs and demonstrate how these physical networks access thermal properties that are not observed in current physical networks.
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spelling pubmed-78547462021-02-11 Physical networks from entropy-driven non-covalent interactions Yu, Anthony C. Lian, Huada Kong, Xian Lopez Hernandez, Hector Qin, Jian Appel, Eric A. Nat Commun Article Physical networks typically employ enthalpy-dominated crosslinking interactions that become more dynamic at elevated temperatures, leading to network softening. Moreover, standard mathematical frameworks such as time-temperature superposition assume network softening and faster dynamics at elevated temperatures. Yet, deriving a mathematical framework connecting the crosslinking thermodynamics to the temperature-dependent viscoelasticity of physical networks suggests the possibility for entropy-driven crosslinking interactions to provide alternative temperature dependencies. This framework illustrates that temperature negligibly affects crosslink density in reported systems, but drastically influences crosslink dynamics. While the dissociation rate of enthalpy-driven crosslinks is accelerated at elevated temperatures, the dissociation rate of entropy-driven crosslinks is negligibly affected or even slowed under these conditions. Here we report an entropy-driven physical network based on polymer-nanoparticle interactions that exhibits mechanical properties that are invariant with temperature. These studies provide a foundation for designing and characterizing entropy-driven physical crosslinking motifs and demonstrate how these physical networks access thermal properties that are not observed in current physical networks. Nature Publishing Group UK 2021-02-02 /pmc/articles/PMC7854746/ /pubmed/33531475 http://dx.doi.org/10.1038/s41467-021-21024-7 Text en © The Author(s) 2021 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/.
spellingShingle Article
Yu, Anthony C.
Lian, Huada
Kong, Xian
Lopez Hernandez, Hector
Qin, Jian
Appel, Eric A.
Physical networks from entropy-driven non-covalent interactions
title Physical networks from entropy-driven non-covalent interactions
title_full Physical networks from entropy-driven non-covalent interactions
title_fullStr Physical networks from entropy-driven non-covalent interactions
title_full_unstemmed Physical networks from entropy-driven non-covalent interactions
title_short Physical networks from entropy-driven non-covalent interactions
title_sort physical networks from entropy-driven non-covalent interactions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854746/
https://www.ncbi.nlm.nih.gov/pubmed/33531475
http://dx.doi.org/10.1038/s41467-021-21024-7
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