Investigation of anomalous physical properties of multilayer nanolaminate (TiAl)N/Cu coatings by electron spectroscopy techniques
Bibliographic record
Abstract
Abstract In accordance with high‐resolution transmission electron microscopy (HRTEM), (Ti 34 Al 66 )N/Cu physical vapour deposition (PVD) composite coating had a nanolaminated structure with 20 nm (Ti 34 Al 66 )N and 2.0–5.0 nm fine grain recrystallized Cu layers. It was unexpectedly found that the coatings under investigation had a lower thermal conductivity coefficient of 25 to 450 °C compared to the TiAlN single layer coating. The physical basis of thermo‐barrier protective features of copper nanolayers was explained based on XPS and high‐resolution electron energy losses spectroscopy (HREELS) data. The temperature dependence of the phonons and conducting electron vibrations was investigated for Cu bulk, (TiAl)N upper layer, and the intermediate Cu one. In comparison with Cu bulk reference sample, the intermediate Cu layers of complex PVD coating were characterized by the following features: size‐dependent shift of Cu 2p 3/2 binding energy, reduced plasmon losses and acoustic mode phonon vibrations amplitudes, and increased intensities of the optical mode vibrations. These features of phonon and plasmon oscillations in the crystal lattice of Cu nanolayers do not completely explain the anomalies of the thermal conductivity of the (TiAl)N/Cu PVD coating. The thermal barrier properties of Cu nanolayers can be primarily attributed to the mirror effect or reflecting of the heat flux from the surface by metal layer with high concentration of conducting electrons. Copyright © 2010 John Wiley & Sons, Ltd.
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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 | 0.000 |
| Research integrity | 0.000 | 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 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".