Strength and Deformation of Zircon at Crustal and Mantle Pressures
Bibliographic record
Abstract
Strength and deformation microstructure of zircon were investigated to 32 GPa at room temperature using a diamond anvil cell (DAC). The obtained X-ray diffraction data were analyzed using the lattice strain theory. The high-pressure quenched samples were analyzed by electron backscatter diffraction (EBSD). Our results show a bulk modulus of 203 ± 13 GPa below 11 GPa. However, zircon is surprisingly sensitive to applied stress and demonstrates a wide range of volume variations at a given pressure under different stress conditions. The differential stress supported by zircon gradually increases from 0.4 to 5.0 GPa. Zrn(200) appears the most compressible plane, whereas Zrn(112) is the least compressible plane. A [001] lattice preferred orientation developed at 1 GPa and shifted toward [110] with pressure. In the 20 GPa quenched sample, lamellae of mechanical microtwins are present along {112}, with misorientation to host zircon grains 65° about <110>. The microtwins formed within the zircon stability field and all domains exhibit crystal-plastic deformation microstructures, suggesting nucleation of microtwins at <11 GPa. Above 18 GPa, zircon partially transformed to reidite. In the 32 GPa quenched sample, 20% of the grains was reidite, with no evidence of reidite to zircon reversion. Crystal-plastic deformation microstructures were seen in both zircon and reidite grains.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".