Common Physical Framework Explains Phase Behavior and Dynamics of Atomic, Molecular, and Polymeric Network Formers

We show that the self-assembly of a diverse collection of building blocks can be understood within a common physical framework. These building blocks, which form periodic honeycomb networks and nonperiodic variants thereof, range in size from atoms to micron-scale polymers and interact through mecha...

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Main Authors: Stephen Whitelam, Isaac Tamblyn, Thomas K. Haxton, Maria B. Wieland, Neil R. Champness, Juan P. Garrahan, Peter H. Beton
Format: Article
Language:English
Published: American Physical Society 2014-03-01
Series:Physical Review X
Online Access:http://doi.org/10.1103/PhysRevX.4.011044
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spelling doaj-322b136a348344c7b8a08ef1a61b22382020-11-24T21:39:29ZengAmerican Physical SocietyPhysical Review X2160-33082014-03-014101104410.1103/PhysRevX.4.011044Common Physical Framework Explains Phase Behavior and Dynamics of Atomic, Molecular, and Polymeric Network FormersStephen WhitelamIsaac TamblynThomas K. HaxtonMaria B. WielandNeil R. ChampnessJuan P. GarrahanPeter H. BetonWe show that the self-assembly of a diverse collection of building blocks can be understood within a common physical framework. These building blocks, which form periodic honeycomb networks and nonperiodic variants thereof, range in size from atoms to micron-scale polymers and interact through mechanisms as different as hydrogen bonds and covalent forces. A combination of statistical mechanics and quantum mechanics shows that one can capture the physics that governs the assembly of these networks by resolving only the geometry and strength of building-block interactions. The resulting framework reproduces a broad range of phenomena seen experimentally, including periodic and nonperiodic networks in thermal equilibrium, and nonperiodic supercooled and glassy networks away from equilibrium. Our results show how simple “design criteria” control the assembly of a wide variety of networks and suggest that kinetic trapping can be a useful way of making functional assemblies.http://doi.org/10.1103/PhysRevX.4.011044
collection DOAJ
language English
format Article
sources DOAJ
author Stephen Whitelam
Isaac Tamblyn
Thomas K. Haxton
Maria B. Wieland
Neil R. Champness
Juan P. Garrahan
Peter H. Beton
spellingShingle Stephen Whitelam
Isaac Tamblyn
Thomas K. Haxton
Maria B. Wieland
Neil R. Champness
Juan P. Garrahan
Peter H. Beton
Common Physical Framework Explains Phase Behavior and Dynamics of Atomic, Molecular, and Polymeric Network Formers
Physical Review X
author_facet Stephen Whitelam
Isaac Tamblyn
Thomas K. Haxton
Maria B. Wieland
Neil R. Champness
Juan P. Garrahan
Peter H. Beton
author_sort Stephen Whitelam
title Common Physical Framework Explains Phase Behavior and Dynamics of Atomic, Molecular, and Polymeric Network Formers
title_short Common Physical Framework Explains Phase Behavior and Dynamics of Atomic, Molecular, and Polymeric Network Formers
title_full Common Physical Framework Explains Phase Behavior and Dynamics of Atomic, Molecular, and Polymeric Network Formers
title_fullStr Common Physical Framework Explains Phase Behavior and Dynamics of Atomic, Molecular, and Polymeric Network Formers
title_full_unstemmed Common Physical Framework Explains Phase Behavior and Dynamics of Atomic, Molecular, and Polymeric Network Formers
title_sort common physical framework explains phase behavior and dynamics of atomic, molecular, and polymeric network formers
publisher American Physical Society
series Physical Review X
issn 2160-3308
publishDate 2014-03-01
description We show that the self-assembly of a diverse collection of building blocks can be understood within a common physical framework. These building blocks, which form periodic honeycomb networks and nonperiodic variants thereof, range in size from atoms to micron-scale polymers and interact through mechanisms as different as hydrogen bonds and covalent forces. A combination of statistical mechanics and quantum mechanics shows that one can capture the physics that governs the assembly of these networks by resolving only the geometry and strength of building-block interactions. The resulting framework reproduces a broad range of phenomena seen experimentally, including periodic and nonperiodic networks in thermal equilibrium, and nonperiodic supercooled and glassy networks away from equilibrium. Our results show how simple “design criteria” control the assembly of a wide variety of networks and suggest that kinetic trapping can be a useful way of making functional assemblies.
url http://doi.org/10.1103/PhysRevX.4.011044
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