P‐153L: <i>Late‐News Poster</i> : Vacuum Deposition of OLEDs with Feature Sizes ≤ 20um Using a Contact Shadow Mask Patterned In‐situ by Laser Ablation
Bibliographic record
Abstract
Abstract A new RGB patterning method for realizing high resolution Organic Light Emitting Device (OLED) full color displays is proposed. In this method, a plastic film is used as a shadow mask. The film is patterned by laser ablation in situ on the bottom electrode of the device, (e.g. anode), and the organic layers are then deposited on this electrode. Because the film is patterned after being put on the electrode, issues pertaining to the deformation of shadow masks and/or difficulties with aligning them precisely, are eliminated. This present study has been performed as a feasibility study for this approach. In order to assess the capability of the plastic film as a shadow mask and to test if the mounting and removal of the film on the pre‐deposited organic layer may damage to the organic layers, 20um wide OLEDs were fabricated using a pre‐patterned plastic film. Experimental results show that OLEDs can be patterned by using the plastic film mask with reasonable dimensional uniformity and without causing any significant damage to the pre‐deposited organic layer. Additionally, elemental analysis of the anode surface using Energy Dispersive X‐ray Spectroscopy (EDS) shows that anode surfaces that have been subjected to the laser ablation process are free organic contaminants or oxides, indicating that the patterning process is successful in completely removing the plastic film from the electrode surface without leaving any significant organic contaminants on the metal, and/or in causing oxidation of the metal surface in the patterned areas. These preliminary results therefore suggest that this new method is indeed promising for realizing high resolution displays, specifically 300ppi for small sized displays.
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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) | 0.003 | 0.001 |
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".