Bibliographic record
Abstract
The Laser Induced Forward Transfer (LIFT) process uses a laser pulse to selectively remove thin film material from a transparent donor substrate and transfer it in the form of micron-sized dots onto an acceptor substrate nearby. This microprinting process can be used for various applications such as rapid prototyping of microelectronic circuits for research applications and for MEMS repair. In the present paper we report a scaling study of the size of LIFT of gold dots as a function of laser energies from 45 nJ to 100 /spl mu/J. All LIFT experiments are carried out using an 800 nm Ti:sapphire laser system emitting pulses of 110 fs duration. The laser beam is focused to spot sizes of a few microns onto the donor substrate using a 10X microscope objective. 2 /spl mu/m to 15 /spl mu/m diameter gold dots showing continuous morphology were transferred in our experiments using laser energies from 100 nJ to 5 /spl mu/J. For higher energies the transferred dots show ring-like morphology.
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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".