Spatial distribution of nitrogen and hydrogen in natural lithospheric diamonds by in situ synchrotron infrared microspectroscopy
Bibliographic record
Abstract
Natural diamonds are exceptional carriers of mineralogical and chemical information from inaccessible depths of our planet. During their crystallization, they can host light elements such as H and N preserving a natural archive of mantle chemistry that, in turn, allows a better understanding of the chemical composition of the growth media, mechanisms of their formation and residence temperatures in the interior of Earth. However, how N and H distribute near entrapped minerals is still unknown. In this study we investigated the effect of chromite mineral inclusions on the spatial distribution of nitrogen and hydrogen in two natural diamonds of peridotitic origin using in situ synchrotron-based Fourier transform infrared microspectroscopy. From the acquisition and optimization of high-resolution maps, we determined the distribution of nitrogen, hydrogen, and nitrogen aggregation state. Our results reveal a dependence between the absorption of H-related peaks with the incorporation of pairs of nitrogen atoms ( N A-centers ). We explain it as indication that chemical interactions between chromite and H might be masked by variations in the N aggregation state. We also conclude that synchrotron micro-FTIR is an advanced technique to assist the synthesis of N- (and H-) doped diamonds for industrial applications.
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) | 0.000 | 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 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".