Feature-preserving synthesis of termite-mimetic spinodal nest morphology.

Oberst, S; Martin, R

Feature-preserving synthesis of termite-mimetic spinodal nest morphology.

Oberst, S

Martin, R

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: iScience, 2024, 27, (1), pp. 108674
Issue Date:: 2024-01-19

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Field	Value	Language
dc.contributor.author	Oberst, S https://orcid.org/0000-0002-1388-2749
dc.contributor.author	Martin, R
dc.date.accessioned	2024-04-03T06:47:55Z
dc.date.available	2023-12-05
dc.date.available	2024-04-03T06:47:55Z
dc.date.issued	2024-01-19
dc.identifier.citation	iScience, 2024, 27, (1), pp. 108674
dc.identifier.issn	2589-0042
dc.identifier.issn	2589-0042
dc.identifier.uri	http://hdl.handle.net/10453/177467
dc.description.abstract	Termite-built topology is complex due to group interactions and environmental feedback. Being interlinked with material characteristics and related to functionality, an accurate synthesis of termite mound topology has never been achieved. We scanned inner termite mound pieces via high-resolution micro-computed tomography. A wavelet scattering transform followed by optimization extracts features that are fed into a Gaussian Random Fields (GRFs) approach to synthesize termite-mimetic spinodal topology. Compared to natural structures the GRF topology is more regular. Irregularity is related to anisotropy, indicative of directionality caused by porous network connectivity of chambers and corridors. Since GRFs are related to diffusion, we assume that deterministic behavioral traits play a significant role in the development of these local differences. We pioneer a framework to reliably mimic termite mound spinodal features. Engineering termite-inspired structures will allow to inspect aspects of termite architectures and their behavior to manufacture novel material concepts with imprinted multi-functionality.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	Elsevier
dc.relation	http://purl.org/au-research/grants/arc/DP200100358
dc.relation.ispartof	iScience
dc.relation.isbasedon	10.1016/j.isci.2023.108674
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Feature-preserving synthesis of termite-mimetic spinodal nest morphology.
dc.type	Journal Article
utslib.citation.volume	27
utslib.location.activity	United States
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2024-04-03T06:47:43Z
pubs.issue	1
pubs.publication-status	Published online
pubs.volume	27
utslib.citation.issue	1

Abstract:

Termite-built topology is complex due to group interactions and environmental feedback. Being interlinked with material characteristics and related to functionality, an accurate synthesis of termite mound topology has never been achieved. We scanned inner termite mound pieces via high-resolution micro-computed tomography. A wavelet scattering transform followed by optimization extracts features that are fed into a Gaussian Random Fields (GRFs) approach to synthesize termite-mimetic spinodal topology. Compared to natural structures the GRF topology is more regular. Irregularity is related to anisotropy, indicative of directionality caused by porous network connectivity of chambers and corridors. Since GRFs are related to diffusion, we assume that deterministic behavioral traits play a significant role in the development of these local differences. We pioneer a framework to reliably mimic termite mound spinodal features. Engineering termite-inspired structures will allow to inspect aspects of termite architectures and their behavior to manufacture novel material concepts with imprinted multi-functionality.

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http://hdl.handle.net/10453/177467