Effect of the Deposition Temperature and Thermal-Annealing on the I-V Characteristics of Low-Temperature-Processed Polycrystalline ZnO and Amorphous InGaZnO TFTs
Bibliographic record
Abstract
Transition metal oxide thin-film transistors (TMO-TFTs) have attracted remarkable attention both in academia and industry during the past few years. ZnO and ZnO-based multicomponent amorphous metal oxides, especially InGaZnO (IGZO), have opened a new window to large-area flexible transparent electronic devices due to their unique properties such as high carrier transport and optical transparency. For large-area flexible transparent electronics based on the transition metal oxides are to be fully implemented, it will be critical to tune the crystalline structure and chemical composition of the metal-oxide channel layers using low-temperature-process methods. During the past few years, several research groups have reported the effects of plasma treatment, annealing process, deposition techniques, and deposition recipes on the electrical performance of the polycrystalline ZnO and amorphous IGZO TFTs; these studies have correlated the electrical performance of the fabricated TFTs to the material characteristics of the channel layer. However, the significant effect of the low-temperature vacuum-annealing and the channel layer deposition temperature on the TFT current-voltage (I-V) characteristics and material properties of the polycrystalline ZnO and amorphous IGZO channel layers has not been well studied. In this research, electrical dependence on the materials properties, surface topography, and chemical composition of the polycrystalline ZnO and amorphous IGZO channel layers are investigated by varying the channel layer deposition temperatures (from room-temperature to 150°C) and post processing low-temperature (150°C) vacuum-annealing. In order to exclude the effect of surface roughness of the gate dielectric and the out-diffusion of hydrogen (H) atoms from plasma-enhanced chemical vapor deposition (PECVD) of conventional gate dielectric layers to the TMO channel layer during the fabrication processes, bottom gate TMO-TFTs were fabricated on thermally grown SiO 2 . A slight improvement in the threshold voltage (V T ) of 150°C processed ZnO TFTs after vacuum-annealing at 150°C was observed. On the other hand, 150°C IGZO TFTs with µ=8.8 cm 2 /V.s, V T = 4.2 V, S.S.= 0.42 V/decade, and I on/off >10 6 became highly conductive and did not show switching behavior after vacuum-annealing. In order to determine the effect of the low-temperature vacuum-annealing on the oxygen vacancy concentration, V o , the chemical composition of the ZnO thin-films was characterized using X-ray photoelectron spectroscopy (XPS). The O 1s spectra of the ZnO film was fitted into three peaks, one located at low-binding energy (O L ), the medium-binding energy (O M ), and the high-binding energy (O H ) through a Gaussian profile. The O L peak is attributed to the oxygen atoms in the oxide lattice without oxygen vacancies (V o ), O M is attributed to the V o , and the O H peak is surface oxygen. The O M value in the O 1s XPS spectra showed almost the same amount of V o , with 18.75 % and 19.2% as the as-deposited and the vacuum-annealed ZnO films, respectively. However, a significant increase in V o concentration (23.06% vs. 28.71%) was observed in the IGZO channel layers upon annealing in vacuum. The improved I-V characteristics of ZnO TFTs after vacuu-annealing was correlated to the better film crystallinity, larger grain size (25 nm vs. 23 nm), and smoother interface roughness (0.615 vs. 0.814 nm), obtained using X-ray diffraction (XRD), scanning electron microscope (SEM), and atomic force microscopy (AFM) measurements, respectively. ZnO TFTs also exhibited a large negative-shift in V T and increased off-current when the deposition temperature of the ZnO channel layer increased from 150°C to 220°C. These findings were correlated to changes in the crystalline structure and the grain size (29 nm vs. 23 nm) rather than a change in the V o concentration (19.04% vs. 18.75 %). The I-V characteristics of room-temperature (RT) processed ZnO and IGZO TFTs exhibited a similar trend as the 150°C processed TMO-TFTs. The as-deposited RT ZnO and RT IGZO TFTs showed high resistivity and no switching behavior. After vacuum annealing at 150°C, the RT ZnO TFTs did not show any improvements in the I-V characteristics while the RT IGZO TFTs, displayed semiconducting behavior having I-V characteristics with µ=8.1 cm 2 /V.s, V T =3.5 V, S.S.=0.51 V/decade, and an I on/off >10 6 due to an increase in the V o concentration from 14.68% to 23.42%,. Lastly, the electrical stability of the drain current under dc bias will be presented.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".