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Computational prediction of the molecular configuration of three-dimensional network polymers

(2021) NATURE MATERIALS. 20(10). p.1422-1430
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Abstract
A computational platform describing the spatial and temporal interactions of monomers during the formation of network polymers provides structure-property relationships that are used to synthesize 3D network polymers with tailored functionalities. The three-dimensional arrangement of natural and synthetic network materials determines their application range. Control over the real-time incorporation of each building block and functional group is desired to regulate the macroscopic properties of the material from the molecular level onwards. Here we report an approach combining kinetic Monte Carlo and molecular dynamics simulations that chemically and physically predicts the interactions between building blocks in time and in space for the entire formation process of three-dimensional networks. This framework takes into account variations in inter- and intramolecular chemical reactivity, diffusivity, segmental compositions, branch/network point locations and defects. From the kinetic and three-dimensional structural information gathered, we construct structure-property relationships based on molecular descriptors such as pore size or dangling chain distribution and differentiate ideal from non-ideal structural elements. We validate such relationships by synthesizing organosilica, epoxy-amine and Diels-Alder networks with tailored properties and functions, further demonstrating the broad applicability of the platform.
Keywords
Mechanical Engineering, General Materials Science, Mechanics of Materials, General Chemistry, Condensed Matter Physics

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MLA
De Keer, Lies, et al. “Computational Prediction of the Molecular Configuration of Three-Dimensional Network Polymers.” NATURE MATERIALS, vol. 20, no. 10, 2021, pp. 1422–30, doi:10.1038/s41563-021-01040-0.
APA
De Keer, L., Kilic, K. I., Van Steenberge, P., Daelemans, L., Kodura, D., Frisch, H., … D’hooge, D. (2021). Computational prediction of the molecular configuration of three-dimensional network polymers. NATURE MATERIALS, 20(10), 1422–1430. https://doi.org/10.1038/s41563-021-01040-0
Chicago author-date
De Keer, Lies, Karsu I. Kilic, Paul Van Steenberge, Lode Daelemans, Daniel Kodura, Hendrik Frisch, Karen De Clerck, et al. 2021. “Computational Prediction of the Molecular Configuration of Three-Dimensional Network Polymers.” NATURE MATERIALS 20 (10): 1422–30. https://doi.org/10.1038/s41563-021-01040-0.
Chicago author-date (all authors)
De Keer, Lies, Karsu I. Kilic, Paul Van Steenberge, Lode Daelemans, Daniel Kodura, Hendrik Frisch, Karen De Clerck, Marie-Françoise Reyniers, Christopher Barner-Kowollik, Reinhold H. Dauskardt, and Dagmar D’hooge. 2021. “Computational Prediction of the Molecular Configuration of Three-Dimensional Network Polymers.” NATURE MATERIALS 20 (10): 1422–1430. doi:10.1038/s41563-021-01040-0.
Vancouver
1.
De Keer L, Kilic KI, Van Steenberge P, Daelemans L, Kodura D, Frisch H, et al. Computational prediction of the molecular configuration of three-dimensional network polymers. NATURE MATERIALS. 2021;20(10):1422–30.
IEEE
[1]
L. De Keer et al., “Computational prediction of the molecular configuration of three-dimensional network polymers,” NATURE MATERIALS, vol. 20, no. 10, pp. 1422–1430, 2021.
@article{8715793,
  abstract     = {{A computational platform describing the spatial and temporal interactions of monomers during the formation of network polymers provides structure-property relationships that are used to synthesize 3D network polymers with tailored functionalities.

The three-dimensional arrangement of natural and synthetic network materials determines their application range. Control over the real-time incorporation of each building block and functional group is desired to regulate the macroscopic properties of the material from the molecular level onwards. Here we report an approach combining kinetic Monte Carlo and molecular dynamics simulations that chemically and physically predicts the interactions between building blocks in time and in space for the entire formation process of three-dimensional networks. This framework takes into account variations in inter- and intramolecular chemical reactivity, diffusivity, segmental compositions, branch/network point locations and defects. From the kinetic and three-dimensional structural information gathered, we construct structure-property relationships based on molecular descriptors such as pore size or dangling chain distribution and differentiate ideal from non-ideal structural elements. We validate such relationships by synthesizing organosilica, epoxy-amine and Diels-Alder networks with tailored properties and functions, further demonstrating the broad applicability of the platform.}},
  author       = {{De Keer, Lies and Kilic, Karsu I. and Van Steenberge, Paul and Daelemans, Lode and Kodura, Daniel and Frisch, Hendrik and De Clerck, Karen and Reyniers, Marie-Françoise and Barner-Kowollik, Christopher and Dauskardt, Reinhold H. and D'hooge, Dagmar}},
  issn         = {{1476-1122}},
  journal      = {{NATURE MATERIALS}},
  keywords     = {{Mechanical Engineering,General Materials Science,Mechanics of Materials,General Chemistry,Condensed Matter Physics}},
  language     = {{eng}},
  number       = {{10}},
  pages        = {{1422--1430}},
  title        = {{Computational prediction of the molecular configuration of three-dimensional network polymers}},
  url          = {{http://dx.doi.org/10.1038/s41563-021-01040-0}},
  volume       = {{20}},
  year         = {{2021}},
}

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