Laser Direct Imaging – Towards a Universal Tool for Display Manufacturing
Bibliographic record
Abstract
The constant push to reduce prices is forcing display manufacturers to continuously look for cheaper manufacturing methods. One of the main cost drivers in display manufacturing is patterning. The process of manufacturing a modern display includes several steps of patterning which are conventionally done by photolithography. Photolithography certainly delivers the level of quality that is required in modern displays but it requires costly equipment and, being a subtractive process, also considerable chemical infrastructure for handling the developing, stripping and etching steps which follow the patterning. Laser direct imaging, now the predominant patterning method in computer-to-plate (CTP) applications in graphic arts, has already been proposed as a replacement for photolithography in manufacturing LCD color filters and inkjet barrier ribs.The purpose of this paper is to present recent work done by Creo Inc. and our partners that demonstrates additional applications where laser direct imaging could replace photolithography in display manufacturing. Such applications include surface energy patterning, conductor sintering and process-less masks.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.014 |
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".