Optimization of Low-Temperature Solution-Processed Antimony Tin Oxide Thin-Film Field-Effect Transistor Fabrication Procedure for Neuromorphic Applications
Bibliographic record
Abstract
This work focuses on optimizing the fabrication of solution-processed antimony tin oxide (ATO) nanoparticle film on 100 nm silicon oxide passivation layer by varying concentration, rotation speed, duration, and annealing temperature.A 550 nm ATO layer with nonlinear behaviour can be made consistently by forming a meniscus of dispersion over the wafer's surface using 10%w/w ATO+H2O solution, spinning at 200 RPM for 30 minutes, and annealing at 250°C for 1 hour.Devices consist of ATO channel using the doped silicon substrate as a bottom gate, which show current enhancement without extinction, as altering the gate sweep voltage range results in a proportional translation or mirroring of the transfer function.Introducing measurement delays to the voltage sweeps have shown a major time-dependent component to the current in addition to some field-effect dependence.Application of sufficient gate voltage can cause a change in behaviour that could be evidence of valence-change memristor behaviour..........
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".