Topology-generating interfacial pattern formation during liquid metal dealloying
Abstract
Liquid metal dealloying has emerged as a novel technique to produce topologically complex nanoporous and nanocomposite structures with ultra-high interfacial area and other unique properties relevant for diverse material applications. This process is empirically known to require the selective dissolution of one element of a multicomponent solid alloy into a liquid metal to obtain desirable structures. However, how structures form is not known. Here we demonstrate, using mesoscale phase-field modelling and experiments, that nano/microstructural pattern formation during dealloying results from the interplay of (i) interfacial spinodal decomposition, forming compositional domain structures enriched in the immiscible element, and (ii) diffusion-coupled growth of the enriched solid phase and the liquid phase into the alloy. We highlight how those two basic mechanisms interact to yield a rich variety of topologically disconnected and connected structures. Furthermore, we deduce scaling laws governing microstructural length scales and dealloying kinetics.
- Authors:
-
- Northeastern Univ., Boston, MA (United States)
- Johns Hopkins Univ., Baltimore, MD (United States)
- Publication Date:
- Research Org.:
- Northeastern Univ., Boston, MA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1239972
- Alternate Identifier(s):
- OSTI ID: 1906126
- Grant/Contract Number:
- FG02-07ER46400
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nature Communications
- Additional Journal Information:
- Journal Volume: 6; Journal ID: ISSN 2041-1723
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 77 NANOSCIENCE AND NANOTECHNOLOGY; 36 MATERIALS SCIENCE; physical sciences; materials science
Citation Formats
Geslin, Pierre -Antoine, McCue, Ian, Gaskey, Bernard, Erlebacher, Jonah, and Karma, Alain. Topology-generating interfacial pattern formation during liquid metal dealloying. United States: N. p., 2015.
Web. doi:10.1038/ncomms9887.
Geslin, Pierre -Antoine, McCue, Ian, Gaskey, Bernard, Erlebacher, Jonah, & Karma, Alain. Topology-generating interfacial pattern formation during liquid metal dealloying. United States. https://doi.org/10.1038/ncomms9887
Geslin, Pierre -Antoine, McCue, Ian, Gaskey, Bernard, Erlebacher, Jonah, and Karma, Alain. Thu .
"Topology-generating interfacial pattern formation during liquid metal dealloying". United States. https://doi.org/10.1038/ncomms9887. https://www.osti.gov/servlets/purl/1239972.
@article{osti_1239972,
title = {Topology-generating interfacial pattern formation during liquid metal dealloying},
author = {Geslin, Pierre -Antoine and McCue, Ian and Gaskey, Bernard and Erlebacher, Jonah and Karma, Alain},
abstractNote = {Liquid metal dealloying has emerged as a novel technique to produce topologically complex nanoporous and nanocomposite structures with ultra-high interfacial area and other unique properties relevant for diverse material applications. This process is empirically known to require the selective dissolution of one element of a multicomponent solid alloy into a liquid metal to obtain desirable structures. However, how structures form is not known. Here we demonstrate, using mesoscale phase-field modelling and experiments, that nano/microstructural pattern formation during dealloying results from the interplay of (i) interfacial spinodal decomposition, forming compositional domain structures enriched in the immiscible element, and (ii) diffusion-coupled growth of the enriched solid phase and the liquid phase into the alloy. We highlight how those two basic mechanisms interact to yield a rich variety of topologically disconnected and connected structures. Furthermore, we deduce scaling laws governing microstructural length scales and dealloying kinetics.},
doi = {10.1038/ncomms9887},
journal = {Nature Communications},
number = ,
volume = 6,
place = {United States},
year = {Thu Nov 19 00:00:00 EST 2015},
month = {Thu Nov 19 00:00:00 EST 2015}
}
Web of Science
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