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Article: Coefficients of Reaction‐Diffusion Processes Derived From Patterns in Rocks
Title | Coefficients of Reaction‐Diffusion Processes Derived From Patterns in Rocks |
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Authors | |
Issue Date | 10-May-2023 |
Publisher | American Geophysical Union |
Citation | Journal of Geophysical Research: Solid Earth, 2023, v. 128, n. 5 How to Cite? |
Abstract | Self-organizing diffusion-reaction systems naturally form complex patterns under far-from-equilibrium conditions. A representative example is the rhythmic concentration pattern of Fe-oxides in Zebra rocks; these patterns include reddish-brown stripes, rounded rods, and elliptical spots. Similar patterns are observed in the banded iron formations, which are presumed to have formed in the early earth under global glaciation. We propose that such patterns can be used directly (e.g., by computer-vision-analysis) to infer basic quantities relevant to their formation giving information on generalized chemical gradients. Here we present a phase-field model that quantitatively captures the distinct Zebra rock patterns based on the concept of phase separation that describes the process forming Liesegang stripes. We find that diffusion coefficients (the bulk self-diffusivities of the native species and the mobility of the reaction product) play an essential role in controlling the appearance of regular stripe patterns as well as the transition from stripes to spots. The numerical results are carefully benchmarked with well-established empirical spacing law, width law, timing law and the Matalon-Packter law. Using this model, we invert for the important process parameters originating from the intrinsic material properties, the self-diffusivity ratio and the mobility of Fe-oxides with a series of Zebra rock samples. This study allows a quantitative prediction of the generalized chemical gradients in mineralized source rocks without intrusive measurements, providing a better intuition for the mineral exploration space. |
Persistent Identifier | http://hdl.handle.net/10722/328554 |
ISSN | 2023 Impact Factor: 3.9 2023 SCImago Journal Rankings: 1.690 |
DC Field | Value | Language |
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dc.contributor.author | Liu, C | - |
dc.contributor.author | Calo, VM | - |
dc.contributor.author | Regenauer-Lieb, K | - |
dc.contributor.author | Hu, MM | - |
dc.date.accessioned | 2023-06-28T04:46:14Z | - |
dc.date.available | 2023-06-28T04:46:14Z | - |
dc.date.issued | 2023-05-10 | - |
dc.identifier.citation | Journal of Geophysical Research: Solid Earth, 2023, v. 128, n. 5 | - |
dc.identifier.issn | 2169-9313 | - |
dc.identifier.uri | http://hdl.handle.net/10722/328554 | - |
dc.description.abstract | <p>Self-organizing diffusion-reaction systems naturally form complex patterns under far-from-equilibrium conditions. A representative example is the rhythmic concentration pattern of Fe-oxides in Zebra rocks; these patterns include reddish-brown stripes, rounded rods, and elliptical spots. Similar patterns are observed in the banded iron formations, which are presumed to have formed in the early earth under global glaciation. We propose that such patterns can be used directly (e.g., by computer-vision-analysis) to infer basic quantities relevant to their formation giving information on generalized chemical gradients. Here we present a phase-field model that quantitatively captures the distinct Zebra rock patterns based on the concept of phase separation that describes the process forming Liesegang stripes. We find that diffusion coefficients (the bulk self-diffusivities of the native species and the mobility of the reaction product) play an essential role in controlling the appearance of regular stripe patterns as well as the transition from stripes to spots. The numerical results are carefully benchmarked with well-established empirical spacing law, width law, timing law and the Matalon-Packter law. Using this model, we invert for the important process parameters originating from the intrinsic material properties, the self-diffusivity ratio and the mobility of Fe-oxides with a series of Zebra rock samples. This study allows a quantitative prediction of the generalized chemical gradients in mineralized source rocks without intrusive measurements, providing a better intuition for the mineral exploration space.<br></p> | - |
dc.language | eng | - |
dc.publisher | American Geophysical Union | - |
dc.relation.ispartof | Journal of Geophysical Research: Solid Earth | - |
dc.title | Coefficients of Reaction‐Diffusion Processes Derived From Patterns in Rocks | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1029/2022JB026253 | - |
dc.identifier.volume | 128 | - |
dc.identifier.issue | 5 | - |
dc.identifier.eissn | 2169-9356 | - |
dc.identifier.issnl | 2169-9313 | - |