Ligand Assisted Volatilization and Thermal Stability of [(t-BuN=)2MoCl2]2
Bibliographic record
Abstract
Volatile molybdenum containing compounds have successfully been utilized for the atomic layer deposition of MoN<i><sub>x</sub></i>, MoO<sub>3</sub>, MoS<sub>2</sub>, and MoC<i><sub>x</sub></i>N<i><sub>y</sub></i>. Most of the reported volatile molybdenum containing compounds have been prepared via salt metathesis reactions of <i>bis</i>(<i>tert</i>-butylimido)-dichloromolybdenum(VI), with anionic nitrogen based ligands. Herein we describe the preparation of several adducts of [(<i>t</i>-BuN=)<sub>2</sub>MoCl<sub>2</sub>]<sub>2</sub> (<b>2</b>) <i>via</i> ligand exchange reactions with various neutral ligands, including both mono- and bidentate ethers, amines, and phosphines, as well as an <i>N</i>-heterocyclic carbene (NHC). These compounds have been characterized using NMR spectroscopy, elemental analysis, and the solid-state structures have been determined using single crystal X-ray crystallography. The volatility and thermal stability of all compounds have been assessed using TGA and DSC, showing that the coordinated ligands can improve the volatility, but in many cases the gas phase species reverts to <b>2</b>. This highlights a strategy for using coordinative ligands that are easily thermolyzed during evaporation and delivery yet improve the volatility of a key precursor.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".