Investigation of AlMe<sub>3</sub>, BEt<sub>3</sub>, and ZnEt<sub>2</sub>as Co-Reagents for Low-Temperature Copper Metal ALD/Pulsed-CVD
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Bibliographic record
Abstract
The reactions of AlMe 3, BEt 3, and ZnEt 2 with toluene solutions of the copper(II) complexes [CuL 2 ] {L = acetylacetonate (acac; 1 ), hexafluoroacetylacetonate (hfac; 2 ), N -isopropyl-β-ketiminate (acnac; 3 ), N, N -dimethyl-β-diketiminate (nacnac; 4 ), 2-pyrrolylaldehyde (PyrAld; 5 ), N -isopropyl-2-pyrrolylaldiminate (PyrIm i Pr; 6a ), N -ethyl-2-pyrrolylaldiminate (PyrIm Et; 6b ), and N -isopropyl-2-salicylaldiminate (IPSA; 7 )} were investigated, and most combinations were found to deposit metal films or metal powder at 50 °C or less. SEM and XPS of metal films deposited on ruthenium showed a range of morphologies and compositions, including pure copper (excluding oxygen content after atmospheric exposure). These nonaqueous solution screening studies provided a rapid and convenient means to identify the most promising [Cu II L 2 ] precursor/ER n co-reagent combinations for copper metal ALD/pulsed-CVD studies, and subsequent ALD/pulsed-CVD studies were performed using 6b in combination with AlMe 3, BEt 3 and ZnEt 2 . As in solution, the reactivity of these reagents (pulsed-CVD) followed the order ZnEt 2 ≈ AlMe 3 ≫ BEt 3 . Furthermore, at 120−150 °C, ZnEt 2 was used successfully to deposit smooth, conductive films composed of copper with 8−15% Zn. On the basis of CVD studies with ZnEt 2, zinc content appears to derive from a parasitic CVD process, which becomes more favorable above 120 °C, detracting from the goal of self-limiting deposition.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it