Nickel(ii) complexes of heterodichalcogenido and monochalcogenido imidodiphosphinate ligands: AACVD synthesis of nickel ditelluride
Bibliographic record
Abstract
The reaction of two equivalents of (TMEDA)Li[(EP(i)Pr(2))(TeP(i)Pr(2))N] (E = S, Se) with NiBr(2)(DME) in THF at 23 degrees C yields homoleptic complexes of heterodichalcogenido PNP ligands Ni[(EP(i)Pr(2))(TeP(i)Pr(2))N](2) (2, E = S; 3, E = Se). Similarly, the complexes Ni[(P(i)Pr(2))(EP(i)Pr(2))N](2) (4, E = Se; 5, E = Te) are obtained by in situ deprotonation of the neutral monochalcogenides E=P(i)Pr(2)NP(H)(i)Pr(2) (E = Se, Te) with (n)BuLi in THF at -78 degrees C followed by addition of NiBr(2)(DME). The complexes 2-5 have been characterised by multinuclear ((1)H, (31)P, (77)Se and (125)Te) NMR spectroscopy in solution and by X-ray crystallography in the solid state, the results of which show that they all exist as the square planar, trans isomers. Aerosol-assisted chemical vapour deposition (AACVD) of Ni[(SeP(i)Pr(2))(TeP(i)Pr(2))N](2) yields crystalline Ni(0.51)Te films at 450-500 degrees C, which were analysed by X-ray powder diffraction (XRPD), scanning electron microscopy (SEM), energy dispersive X-ray analysis (EDX) and X-ray photoelectron spectroscopy (XPS).
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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".