Defect engineering and dopant activation of room temperature grown aluminium-doped zinc oxide thin films
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Bibliographic record
Abstract
The impact of structural defects on the electrical properties of aluminium doped zinc oxide (AZO) thin films is investigated by varying sputter deposition and post deposition annealing conditions. Results demonstrate sputtered species of high kinetic energy at high radio frequency power (or low sputtering pressure) facilitate the production of AZO films with enhanced crystallinity, grain growth, and compactness with reduced trap defects at grain boundaries. A resistivity of 1.11 × 10 –3 Ω.cm is achieved for the optimised as-deposited samples at room temperature (RT), using 3.95 W/cm 2 sputtering at 2 mTorr of Ar. Post deposition annealing via pulsed Krypton Fluoride (KrF λ = 248 nm) excimer laser annealing (ELA) and rapid thermal annealing (RTA), provided a functional means to further manipulate the defects in terms of density and distribution. ELA (5 pulses at 125 mJ/cm 2 in air) and RTA (300 °C/20 s in nitrogen) resulted in a ∼50 % resistivity reduction to ∼5.20 × 10 –4 Ω.cm due to an increase of both free electron density and Hall mobility. X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), atomic force microscopy (AFM), and Hall Effect measurements demonstrated a reduction of structural, adsorbed, and morphological defects, with an enhancement of compactness and the effective incorporation of Al into the ZnO lattice. ELA increased the visible transparency from 82 % to 86 %, and the bandgap ( Eg ) from 3.69 eV to 3.80 eV. RTA also increased the bandgap to 3.80 eV, with a slightly larger increase in the visible transparency to 88 %. The optimised ELA and RTA procedures present a roadmap of rapid annealing conditions following low temperature deposition suitable for the optoelectronics industry and transparent electrodes applications.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it