Simulating major element diffusion in garnet using realistic 3D geometries

Chemical diffusion of major elements in garnet is a common phenomenon in amphibolite to granulite facies metamorphic rocks. The study of this process has led to important constraints on the rate and timescale of metamorphism, for instance using geospeedometry and forward thermodynamic modelling. However, to date, most models have assumed spherical coordinates and simple geometries when modelling diffusion in garnet. In this study, we present a framework for running 3D multicomponent diffusion models from real grain geometries obtained by micro-computed tomography. We introduce an open-source code, DiffusionGarnet.jl, written for high performance in the Julia programming language. We demonstrate the high efficiency of the numerical solver, a stabilised explicit method, and its scalability using GPU acceleration. This approach is applied to two garnet grains with different characteristics, a euhedral well-shaped grain and a deformed sub-euhedral grain with a high connectivity to the matrix from core to rim. Starting from a similar initial composition and at constant conditions of 700 °C and 0.8 GPa for 10 Myr, the models show results with very different characteristics. The euhedral grain shows results similar to those predicted with a spherical assumption, largely preserving its original zoning. In contrast, the sub-euhedral grain shows significant re-equilibration, nearly erasing completely its initial zoning. This behaviour is caused by the high connectivity with the matrix. In addition to providing a robust solver for 3D diffusion modelling, these results demonstrate the role of grain geometry and matrix connectivity on intra-grain diffusion and highlight the power of 3D approaches to properly study the complexity of natural grains. • Develop a 3D diffusion modelling code of garnet for arbitrary geometries. • Demonstrate performance gains using stabilised explicit methods and GPU acceleration. • Predict key differences for diffusion between euhedral and sub-euhedral garnet grains.

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Publication Details

Journal
Computers & Geosciences
Published
2025-08-08
DOI
https://doi.org/10.1016/j.cageo.2025.106023
Citations
2
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
2.67
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article

Simulating major element diffusion in garnet using realistic 3D geometries

Pierre Lanari, Hugo Domínguez, Nathan Mäder
2 citations
Computers & Geosciences
Geological Modeling and Analysis
2.67
article

Simulating major element diffusion in garnet using realistic 3D geometries

Pierre Lanari, Hugo Domínguez, Nathan Mäder
article en
2 citations

Abstract

Chemical diffusion of major elements in garnet is a common phenomenon in amphibolite to granulite facies metamorphic rocks. The study of this process has led to important constraints on the rate and timescale of metamorphism, for instance using geospeedometry and forward thermodynamic modelling. However, to date, most models have assumed spherical coordinates and simple geometries when modelling diffusion in garnet. In this study, we present a framework for running 3D multicomponent diffusion models from real grain geometries obtained by micro-computed tomography. We introduce an open-source code, DiffusionGarnet.jl, written for high performance in the Julia programming language. We demonstrate the high efficiency of the numerical solver, a stabilised explicit method, and its scalability using GPU acceleration. This approach is applied to two garnet grains with different characteristics, a euhedral well-shaped grain and a deformed sub-euhedral grain with a high connectivity to the matrix from core to rim. Starting from a similar initial composition and at constant conditions of 700 °C and 0.8 GPa for 10 Myr, the models show results with very different characteristics. The euhedral grain shows results similar to those predicted with a spherical assumption, largely preserving its original zoning. In contrast, the sub-euhedral grain shows significant re-equilibration, nearly erasing completely its initial zoning. This behaviour is caused by the high connectivity with the matrix. In addition to providing a robust solver for 3D diffusion modelling, these results demonstrate the role of grain geometry and matrix connectivity on intra-grain diffusion and highlight the power of 3D approaches to properly study the complexity of natural grains. • Develop a 3D diffusion modelling code of garnet for arbitrary geometries. • Demonstrate performance gains using stabilised explicit methods and GPU acceleration. • Predict key differences for diffusion between euhedral and sub-euhedral garnet grains.

Computers & GeosciencesVol. 206
University of Bern (CH), Johannes Gutenberg University Mainz (DE), Max Planck Institute for Chemistry (DE), University of Lausanne (CH)
Sustainable cities and communities
Openalex Percentile: Top 10%
Geological Modeling and Analysis
2.67
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