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Article: Dendritic Growth Patterns in Rocks: Inverting the Driving and Triggering Mechanisms

TitleDendritic Growth Patterns in Rocks: Inverting the Driving and Triggering Mechanisms
Authors
Issue Date9-Sep-2023
PublisherAmerican Geophysical Union
Citation
Journal of Geophysical Research: Solid Earth, 2023, v. 128, n. 9 How to Cite?
Abstract

Mineral precipitation can form complex patterns under non-equilibrium conditions, in which two representative patterns are rhythmic Liesegang stripes and fractal dendrites. Interestingly, both patterns occur in the same rock formations, including various dendritic morphologies found in different rocks, such as limestone and sandstone. However, the underlying mechanism for selecting the vastly different mineral precipitation patterns remains unclear. We use a phase-field model to reveal the mechanisms driving pattern selection in mineral precipitation. Simulations allow us to explore the effects of diffusion parameters on determining the dendritic morphologies. We also propose a general criterion to distinguish the resulting dendrites in simulations and field observations based on a qualitative visual distinction into three categories and a quantitative fractal dimension (FD) phase diagram. Using this model, we reproduce the classified dendrites in the field and invert for the key parameters that reflect the intrinsic material properties and geological environments. This study provides a quantitative tool for identifying the morphology selection mechanism with potential applications to geological field studies, exploration for resource evaluation, and other potential industrial applications.


Persistent Identifierhttp://hdl.handle.net/10722/338591
ISSN
2023 Impact Factor: 3.9
2023 SCImago Journal Rankings: 1.690
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, Chong-
dc.contributor.authorCalo, M Victor-
dc.contributor.authorRegenauer‐Lieb, Klaus-
dc.contributor.authorHu, Manman-
dc.date.accessioned2024-03-11T10:30:02Z-
dc.date.available2024-03-11T10:30:02Z-
dc.date.issued2023-09-09-
dc.identifier.citationJournal of Geophysical Research: Solid Earth, 2023, v. 128, n. 9-
dc.identifier.issn2169-9313-
dc.identifier.urihttp://hdl.handle.net/10722/338591-
dc.description.abstract<p>Mineral precipitation can form complex patterns under non-equilibrium conditions, in which two representative patterns are rhythmic Liesegang stripes and fractal dendrites. Interestingly, both patterns occur in the same rock formations, including various dendritic morphologies found in different rocks, such as limestone and sandstone. However, the underlying mechanism for selecting the vastly different mineral precipitation patterns remains unclear. We use a phase-field model to reveal the mechanisms driving pattern selection in mineral precipitation. Simulations allow us to explore the effects of diffusion parameters on determining the dendritic morphologies. We also propose a general criterion to distinguish the resulting dendrites in simulations and field observations based on a qualitative visual distinction into three categories and a quantitative fractal dimension (FD) phase diagram. Using this model, we reproduce the classified dendrites in the field and invert for the key parameters that reflect the intrinsic material properties and geological environments. This study provides a quantitative tool for identifying the morphology selection mechanism with potential applications to geological field studies, exploration for resource evaluation, and other potential industrial applications.<br></p>-
dc.languageeng-
dc.publisherAmerican Geophysical Union-
dc.relation.ispartofJournal of Geophysical Research: Solid Earth-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleDendritic Growth Patterns in Rocks: Inverting the Driving and Triggering Mechanisms-
dc.typeArticle-
dc.identifier.doi10.1029/2023JB027105-
dc.identifier.scopuseid_2-s2.0-85172693138-
dc.identifier.volume128-
dc.identifier.issue9-
dc.identifier.eissn2169-9356-
dc.identifier.isiWOS:001068252900001-
dc.identifier.issnl2169-9313-

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