Synthesis Of Nanoparticle Networks By Femtosecond Laser Ablation Of Microparticles
Bibliographic record
Abstract
The process of laser ablation has been adapted to generate nonoparticles from microparticles of the material, referred to as laser ablation of microparticles (LAM). The LAM process has been shown to generate finer nanoparticles than were previously possible through laser ablation of solid targets. In this thesis, a method of generating a 3D nanoparticle network using the LAM process has been proposed using a femtosecond laser. 3D naoparticles were successfully generated through ablation of microparticle samples of lead oxide, nickel oxide and zinc oxide. The size of the nanoparticles in the generated network was significantly reduced in comparison with similar networks generated through laser ablation of solid targets. The method has been further extended to generate a unique alloy nanomaterial through the ablation of the microparticle containing powders of two metals (Aluminum and Nickel Oxide).
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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) | 0.001 | 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 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".