Coordination-Induced Shifts of Absorption and Binding Energies in the SrFe<sub>1−<i>x</i></sub>Zn<sub><i>x</i></sub>O<sub>3−δ</sub> System
Bibliographic record
Abstract
The SrFe 1− x Zn x O 3−δ system (0 ≤ x ≤ 1) was synthesized and investigated by X-ray absorption near-edge spectroscopy (XANES) and X-ray photoelectron spectroscopy (XPS). These techniques were used to examine the effect of substitution on metal charge and coordination number (CN) and to study the influence of ground-state and final-state effects on spectral energies. As x increases, a greater oxygen deficiency lowers the transition-metal CN, as observed by examination of Fe K- and Zn K-edge XANES spectra. Substitution of Fe by Zn results in shifts in the (Fe 2p and Zn 2p) XPS binding energies and (Fe and Zn) K-edge XANES absorption energies that are much greater than the shifts observed in the corresponding Fe L- and Zn L-edge XANES absorption energies. These shifts are due to increasing final-state relaxation with decreasing metal CN. The O K-edge XANES absorption energies and O 1s binding energies were found to shift in a similar fashion because of ground-state effects owing to a greater screening of the O nuclear charge as Fe 3+/4+ is replaced by more electron rich Zn 2+ atoms.
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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 | 0.000 | 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 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".