Synthesis, Structure and Thermal Properties of Volatile Group 11 Triazenides as Potential Precursors for Vapor Deposition
Bibliographic record
Abstract
Group 11 thin films are desirable as interconnects in microelectronics. Although many M–N bonded Cu precursors have been explored for vapor deposition, there is currently a lack of suitable Ag and Au derivatives. Herein, we present monovalent Cu, Ag and Au 1,3-di-tert-butyltriazenides that have potential for use in vapor deposition. These compounds possess thermal stability and volatility that rival that of current state-of-the-art group 11 precursors with bidentate M–N bonded ligands. All compound sublime quantitatively between 120 and 130 °C at 0.5 mbar. Thermogravimetric analysis showed the Cu and Ag compounds both volatilized at ~200 °C with 0 and 2% residual mass, respectively. The Au triazenide showed two separated mass loss events at ~175 and 240 °C, and 35% residual mass. The crystal structure of the Cu compound showed a dimer, whilst the Ag and Au derivatives were tetrameric. Nuclear magnetic resonance spectroscopy showed dimers for the Cu and Au compounds and a dimer/tetramer equilibrium for the Ag compound. Electronic energies from density functional theory calculations confirmed dimeric preference for the Cu triazenide while Ag and Au preferred the tetrameric. However, all three compounds showed dimeric preference when accounting for entropy. Dimers are, therefore, expected to dominate in the gas phase for all three compounds during sublimation. Natural bond orbital analysis was used to identify orbital interactions important for the dimer/tetramer preference. Three factors were identified, in conjunction with strong metal-metal interactions, to increase the preference for rhombic tetramers.
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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".