New Applications to Atom Probe Tomography: Insights on Trace Element Diffusion in Naturally Deformed Minerals
Why this work is in the frame
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Bibliographic record
Abstract
The links between deformation-induced microstructures and trace element diffusion is an important theme within material sciences and geosciences. In material sciences, investigating the interplay between impurities and crystalline defects has had a significant impact on improving the design of synthetic materials As for geochronology, the reliable use of minerals such as zircon and titanite as U-Th-Pb geochronometers requires minimal radiogenic isotope and trace element mobility Deformationinduced redistribution of trace elements within minerals can affect isotopic ratios, significantly impacting the reliability of geochronometers. In economic geology, the incorporation of base-and precious-metals in sulphide minerals has significant implications for metallic ore paragenesis It has recently been illustrated that plastic deformation in pyrite creates diffusion pathways as subgrain boundaries that act as traps for base-and precious-metals However, the plastic behaviour of pyrite and the diffusion mechanisms driving trace elements in microstructures remain poorly understood. In this study, we attempt to document the diffusion processes driving trace elements into deformation-induced microstructures of sulphides by developing new applications to 2D and 3D nanostructural and geochemical imaging techniques. Herein, we integrate electron backscatter diffraction (EBSD) mapping, electron channeling contrast imaging (ECCI) and atom probe tomography (APT) on crystal-plastically deformed pyrite. Our study pushes the limits of the 3D tools' abilities by applying new data processing techniques that allow crystallographic-orientation measurement of nanostructural crystal defects.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it