Unique Mixed Valence Behavior of Tantalum and Electronic Structure of the Novel P <sub>1−x</sub> Ta <sub>8+x</sub> N <sub>13</sub> (X = 0.1–0.15) Using Density Functional Theory and Soft X‐Ray Spectroscopy
Bibliographic record
Abstract
In this study, the electronic structure and bonding characteristics of PTaN ( x = 0.1–0.15), a compound featuring a high coordination of phosphorus with six nitrogen atoms, are explored. Soft X‐ray spectroscopy and density functional theory calculations are employed to investigate the material's electronic properties. The analysis reveals that the material exhibits metallic behavior, which can be attributed to the 5 d electronic states of tantalum. It is observed that tantalum exists in mixed valence states, forming two distinct types of TaN bonds: one predominantly covalent and the other with a combination of ionic and covalent characteristics. Both bond types contribute to the metallic properties observed. Additionally, it is found that the valence electrons of tantalum are not fully integrated into the TaN bonds, as supported by electron localization function (ELF) calculations, which show electron localization in narrow channels consisting of three Ta atoms. To the best of our knowledge, we have measured the phosphorus L β 3, β 4 XES and L 1 ‐edge XAS for the first time. These findings enhance one's understanding of the complex electronic structure of PTaN and provide insights into the material's potential applications in electronic devices and electrocatalysis.
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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".