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Record W6884308082 · doi:10.1016/j.pepi.2025.107418

Rutile's pressure-temperature-time evolution dictates its role as a depth-dependent subduction-zone water regulator

2025· article· en· W6884308082 on OpenAlexfundno aff

Bibliographic record

VenuePhysics of The Earth and Planetary Interiors · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsnot available
FundersCanadian Anesthesiologists' Society
KeywordsRutileSubductionHydrogenCrystallinityRaman spectroscopyFourier transform infrared spectroscopyAmorphous solid

Abstract

fetched live from OpenAlex

The deep Earth water cycling is critically regulated by hydrogen storage capabilities of nominally anhydrous minerals (NAMs). Rutile TiO 2 , a prevalent NAM in subduction zones, incorporates measurable hydrogen via defect-mediated mechanisms. However, its molecular-level structural evolution and hydrogen content variations under subduction-relevant conditions remain poorly constrained. This study integrates spatially resolved Raman imaging and Fourier transform infrared spectroscopy to quantitatively elucidate the microstructural and hydrogen dynamics in rutile across various pressure-temperature-time (P-T-t) trajectories. The results reveal that during prolonged cold subduction (geothermal gradient of ∼5 °C/km), pressure enhances microstructural ordering and crystallinity in rutile, leading to hydrogen loss. Conversely, thermal activation generates microstructural defects, which serves as additional sites for hydrogen incorporation. Quantitative hydrogen tracking demonstrates that rutile undergoes ∼50 % dehydration in anhydrous environments, which is inhibited by the rutile-to-akaogiite transformation. This transformation initiates at ∼8 GPa due to molecular heterogeneity, yet the kinetic stability provided by polar covalent Ti O bonds enables rutile to persist up to ∼20 GPa. Notably, rutile exhibits ∼12 % hydrogen uptake upon prolonged fluid infiltration along cold-to-hot subduction pathways (geothermal gradients of ∼5–20 °C/km). In the continuous aqueous environments typical of subduction zones, these findings establish rutile as a depth-dependent water regulator. It can transport water beyond its initial content to mantle depths exceeding ∼300 km, thus advancing our understanding of how NAMs modulate water cycling in subduction zones. • Pressure-induced crystallinity optimization and H + loss in the NAM rutile. • Thermal activation facilitates structural defects and H + incorporation in rutile. • Polar covalent Ti O bonds kinetically stabilize rutile. • Rutile acts as a depth-dependent water regulation in subduction zones. • Raman imaging offers extensive data for accurate characterization of rutile.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.799

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.003
GPT teacher head0.175
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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