Propriedades ópticas não lineares e microestruturação em vidros boratos com laser de femtossegundos
Bibliographic record
Abstract
Ultrashort laser pulses have been used to study and develop nonlinear optical processes in materials, as well as for their processing, aiming at several technological applications. In this work, both areas (study of optical nonlinearities and materials processing) were exploited for different glass materials. Initially, we have studied the third order nonlinear optical spectrum of lead oxifluoroborate glasses (50BO 1,5 -(50-x)PbF 2 -xPbO) as a function of the composition. The optical nonlinearities were determined from the visible to the near infrared employing the Zscan technique, using a Ti:sapphire laser system (775 nm, 150 fs, 1 kHZ) and an optical parametric amplifier (470 a 2000 nm) as excitation sources. The results revealed that the formation of non-bridging oxygens favors the nonlinear optical properties of the material; the glass with x = 50 presents the higher third order nonlinearities, exhibiting a nonlinear index of refraction of about 4,7 x 10 -19 m 2 /W at the range of 470 -1550 nm, and a two-photon absorption coefficient of approximately 1 cm/GW at the resonant enhancement region. Figure of merit analysis and optical limiting measurements suggest that these glasses have potential for applications in optical limiting and all-optical switching. Regarding materials processing, we have used femtosecond laser micromachining to produce microstructures in lead borate and borosilicate glasses. We were able to produce lines with controlled widths, from 3 -35 m, on the surface of the glasses by changing the focus, speed and energy of the laser beam. Moreover, using femtosecond laser pulses we obtained copper nanoparticles on the surface as well as in the bulk of a borosilicate glass. We have observed that there is an optimal combination between scanning speed and annealing temperature to promote the formation of nanoparticles at the regions irradiated by the laser.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".