Direct Photopatterning of Metal Oxide Structures Using Photosensitive Metallorganics
Bibliographic record
Abstract
A novel process employing photosensitive metallorganic precursor materials is used to pattern thin-film mixed-metal oxide structures. In this process a photosensitive metallorganic precursor is coated onto a silicon substrate and exposed to ultraviolet light through a mask to form patterned oxide structures or baked at low temperatures to produce blanket metal oxide thin films. In the case of direct photopatterning, a negative-tone process occurs in which the unexposed areas can be washed away using a developer solvent. The photochemical conversion of the precursor films was monitored using transmission Fourier transform infrared FTIR spectroscopy, and lithographic contrast experiments were conducted to estimate the dose required to pattern mixed oxide films of barium, strontium, and titanium. It was determined that the minimum dose required to print an image with the set of precursors investigated in this work was approximately 440 mJ/cm 2 for a precursor film thickness of 800 nm. Based on FTIR data, this dose corresponds to removal of approximately 20% of the organic material from the original precursor film. Dielectric properties were measured for photochemically converted oxide films via parallel-plate capacitance testing. The composition of the oxide films produced from a given precursor stoichiometry was determined by using X-ray photoelectron spectroscopy.
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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) | 0.000 | 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".