Electronic structures of amorphous M<sub>100-<i>x</i></sub>Zr<sub><i>x</i></sub>alloys (M = Fe, Co, Ni, Cu) studied using core-level x-ray photoemission spectroscopy
Bibliographic record
Abstract
The electronic structures of amorphous a-Fe100-xZrx and a-(Fe1-yMy)(33)Zr-67 alloys (M = Co, Ni, Cu) have been investigated by using x-ray photoemission spectroscopy. For a-Fe100-xZrx, the linewidths of both the Fe 2p and Zr 3d core-level spectra become narrower with increasing x. Systematic line-shape analysis reveals that such a trend could be either due to the decrease in the Auger recombination process or due to the decrease in the exchange splitting of corehole electrons. The broad Zr 3d spectrum for x = 10 is decomposed into two peaks, suggesting a localized nature of the Zr 4d electrons in a-Fe90Zr10. For a-(Fe1-yMy)(33)Zr-67 (M = Co, Ni), the Fe 2p spectrum becomes narrower and the shoulder-like satellite structure becomes more pronounced with increasing y, reflecting the increasingly localized nature of the Fe 3d electrons. In contrast, the M 2p spectra of a-(Fe1-yMy)(33)Zr-67 remain essentially unchanged with varying y, implying that the M 2p spectra of a-M100-xZrx are much less sensitive to the M ion species than to the fractional concentrations of M and Zr ions. As M varies from Fe to Co and Ni in a-M33Zr67, the Zr 3d spectrum exhibits a small shift toward higher binding energy and a slight increase in the linewidth. Band-structure calculations for ordered MZr2 (M = Fe, Co, Ni, Cu) predict that both the density of states at the Fermi level N(E-F) and the total number of valence electrons increase as M varies from Fe to Co and Ni, which is consistent with the measured Zr 3d spectra of a-M33Zr67.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".