Hyperconnected molecular glass network architectures with exceptional elastic properties
Abstract
Hyperconnected network architectures can endow nanomaterials with remarkable mechanical properties that are fundamentally controlled by designing connectivity into the intrinsic molecular structure. For hybrid organic–inorganic nanomaterials, here we show that by using 1,3,5 silyl benzene precursors, the connectivity of a silicon atom within the network extends beyond its chemical coordination number, resulting in a hyperconnected network with exceptional elastic stiffness, higher than that of fully dense silica. The exceptional intrinsic stiffness of these hyperconnected glass networks is demonstrated with molecular dynamics models and these model predictions are calibrated through the synthesis and characterization of an intrinsically porous hybrid glass processed from 1,3,5(triethoxysilyl) benzene. Altogether, the proposed molecular design strategy applies to any materials system wherein the mechanical properties are controlled by the underlying network connectivity.
- Authors:
-
- Stanford Univ., Stanford, CA (United States)
- IBM Almaden Research Center, San Jose, CA (United States)
- Stanford Univ., Stanford, CA (United States); IBM Almaden Research Center, San Jose, CA (United States)
- Publication Date:
- Research Org.:
- Stanford Univ., CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1499684
- Grant/Contract Number:
- FG02-07ER46391
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nature Communications
- Additional Journal Information:
- Journal Volume: 8; Journal Issue: 1; Journal ID: ISSN 2041-1723
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Burg, Joseph A., Oliver, Mark S., Frot, Theo J., Sherwood, Mark, Lee, Victor, Dubois, Geraud, and Dauskardt, Reinhold H.. Hyperconnected molecular glass network architectures with exceptional elastic properties. United States: N. p., 2017.
Web. doi:10.1038/s41467-017-01305-w.
Burg, Joseph A., Oliver, Mark S., Frot, Theo J., Sherwood, Mark, Lee, Victor, Dubois, Geraud, & Dauskardt, Reinhold H.. Hyperconnected molecular glass network architectures with exceptional elastic properties. United States. https://doi.org/10.1038/s41467-017-01305-w
Burg, Joseph A., Oliver, Mark S., Frot, Theo J., Sherwood, Mark, Lee, Victor, Dubois, Geraud, and Dauskardt, Reinhold H.. Wed .
"Hyperconnected molecular glass network architectures with exceptional elastic properties". United States. https://doi.org/10.1038/s41467-017-01305-w. https://www.osti.gov/servlets/purl/1499684.
@article{osti_1499684,
title = {Hyperconnected molecular glass network architectures with exceptional elastic properties},
author = {Burg, Joseph A. and Oliver, Mark S. and Frot, Theo J. and Sherwood, Mark and Lee, Victor and Dubois, Geraud and Dauskardt, Reinhold H.},
abstractNote = {Hyperconnected network architectures can endow nanomaterials with remarkable mechanical properties that are fundamentally controlled by designing connectivity into the intrinsic molecular structure. For hybrid organic–inorganic nanomaterials, here we show that by using 1,3,5 silyl benzene precursors, the connectivity of a silicon atom within the network extends beyond its chemical coordination number, resulting in a hyperconnected network with exceptional elastic stiffness, higher than that of fully dense silica. The exceptional intrinsic stiffness of these hyperconnected glass networks is demonstrated with molecular dynamics models and these model predictions are calibrated through the synthesis and characterization of an intrinsically porous hybrid glass processed from 1,3,5(triethoxysilyl) benzene. Altogether, the proposed molecular design strategy applies to any materials system wherein the mechanical properties are controlled by the underlying network connectivity.},
doi = {10.1038/s41467-017-01305-w},
journal = {Nature Communications},
number = 1,
volume = 8,
place = {United States},
year = {2017},
month = {10}
}
Web of Science
Figures / Tables:

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