Cut-and-pasting ligands: The structure/function relationships of a thermally robust Mo(VI) precursor
Bibliographic record
Abstract
The bis(tert-butylimido)-molybdenum(VI) framework has previously been used for the successful atomic layer deposition (ALD) and chemical vapor deposition of many molybdenum-containing thin films. Here, we have prepared and fully characterized a new thermally robust bis(tert-butylimido)molybdenum(VI) complex, bis(tert-butylimido)-bis(N-2-(tert-butyliminomethyl)pyrrolato)-molybdenum(VI), (tBuN)2Mo(PyrIm)2 (1), that incorporates two N,N’-κ2-monoanionic ligands. The volatility and thermal stability of 1 were measured using thermogravimetric analysis and differential scanning calorimetry, where it was found to achieve a vapor pressure of 1 Torr at 212 °C and had an onset of thermal decomposition at 273 °C. A comparison of its thermal properties with those of the known ALD precursor (tBuN)2Mo(dpamd)2 (dpamd = N,N’-diisopropyl-acetamidinato) showed that 1 had similar volatility but a 78 °C improvement in thermal stability. Preliminary deposition experiments indicated that 1 should be a good ALD precursor; it exhibited self-limiting adsorption and did not decompose on the surface until at least 500 °C, features that will enable its use in the development of new high-temperature ALD processes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".