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Atom Probe Tomography Analysis of Exsolved Mineral Phases
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Reconstructing magmatic histories with 3D diffusion modeling of complex crystals
Adrien J Mourey1, Euan J F Mutch2,3
1Earth Observatory of Singapore, Nanyang Technological University, Singapore, Singapore. adrien.mourey@ntu.edu.sg.
Nature Communications
|May 2, 2026
Summary
This study introduces a 3D modeling approach for mineral diffusion, improving accuracy in dating volcanic processes. This method refines understanding of magma storage, ascent, and eruption dynamics, crucial for hazard assessment.
Area of Science:
- Geochemistry
- Volcanology
- Petrology
Background:
- Traditional 1D diffusion models in magmatic stopwatches overlook complex 3D crystal structures.
- This simplification can lead to inaccurate constraints on critical magmatic processes like storage, ascent, and volatile transfer.
- Accurate temporal constraints are vital for understanding eruption dynamics and volcanic hazards.
Purpose of the Study:
- To develop and apply an integrated approach using 3D finite element diffusion models and X-ray microtomography.
- To reconstruct the magmatic history of the 1820 Keanakāko'i eruption of Kīlauea.
- To provide more accurate temporal constraints on magmatic processes.
Main Methods:
- Combined X-ray microtomography of olivine crystals with 3D finite element diffusion models.
- Analyzed Fe-Mg diffusion in olivine to determine storage and mixing timescales.
- Used melt inclusions to infer decompression rates and syn-eruptive cooling rates via diffusive water loss and Mg diffusion.
Main Results:
- Decadal storage of olivine crystals preceding pre-eruptive mixing events lasting days to weeks.
- Decompression rates estimated between 1 x 10-4 and 6.3 x 10-3 MPa/s.
- Maximum syn-eruptive cooling rates determined to be 7.5–15 °C/s.
Conclusions:
- The 3D modeling approach provides a more robust framework for constraining magmatic histories.
- This method enhances understanding of magma evolution, volatile degassing, and eruption dynamics.
- Offers a transferable framework for diverse tectonic settings, improving volcanic hazard assessment.
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