Studying ligands, metals and their complexes in aqueous systems using soft x-ray spectroscopy
Bibliographic record
Abstract
Soft X-ray spectroscopy and spectromicroscopy are emerging technqiues that have unique applications in probing the electronic states of metals and their complexes in aqueous solutions. Using the soft X-rays, the 1s electrons of light elements (e.g. C) and the 2s, 2p, etc. electrons of transition metals and heavy elements (e.g. Se) in aqueous solutions and at mineral-water interfaces can be probed. Element-specificity and high-spectral resolution of soft X-ray methods also permit the examination of small changes in the electronic states of different elements in heterogeneous materials. The availability of the third generation synchrotron X-ray sources and the development of high resolution zone plates has permitted the examination of wet mineral precipitates at a spatial resolution better than 20 nm recently. Such measurements are also possible for samples in wet state, and in complex heterogeneous matrices. The magnetic stuctures of nanoparticles and magnetic domains in micron sized minerals can also be studied in wet state using the plane and elliptically polarized soft X-ray beams. A majority of soft X-ray spectroscopy techniques, and the required facilities to conduct studies on samples of geochemical interest are in the developmental stages. Ab initio calculations are also being conducted for different aqueous metal-ligand systems to correlate their spectral variations with the electronic structure. An introduction to different soft X-ray spectroscopy and spectromicroscopy techniques, available research facilities at the synchrotron light sources, and examples of studies conducted using these methods in model and complex systems will be discussed.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".