Structural Defects of Heavy Rare Earth Element Minerals in Granite Accelerate Their Decomposition and Facilitate Mineralization During Weathering
Bibliographic record
Abstract
Abstract Heavy rare earth elements (HREEs), an indispensable resource for modern industry, are extracted mainly from clays in ion adsorption deposits (IADs) in South China. The HREEs in IADs are derived from accessory minerals in parental granites. These precursor HREE phases have low solubility in aqueous environments, and unraveling the mechanism of their decomposition during weathering is critical to understanding how IADs form. Here, we report the micro- to nanoscale structural characteristics of HREE precursor minerals in parental granites from the large Zudong and Zhaibei IADs. High-resolution transmission electron microscopy shows that these minerals are characterized by abundant structural defects that range from lattice dislocations to submicro- to nanoscale crystallite aggregates with a variable proportion of amorphous material. Ubiquitous structural defects make the precursor HREE minerals unstable during weathering, resulting in their rapid decomposition, thereby facilitating the development of clay-hosted mineralization.
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 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 | 0.000 |
| 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) | 0.001 | 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 teacher head, 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".