Microfiber Bragg Grating Sandwiched Between Standard Optical Fibers for Enhanced Temperature Sensing
Bibliographic record
Abstract
Ultrafast laser-based direct writing of a millimeter long Bragg grating in a microfiber spliced between standard single-mode fibers is presented for highly sensitive temperature measurement. Periodic filamentary voids are written in the core of microfiber using point-by-point inscription method to achieve refractive index modulation. The structural configuration of the sensor offers strong grasp around the microfiber grating when buried in materials of higher thermal expansion coefficients. Any change in ambient temperature causes the molding material to apply higher thermal strain on the grating and amplifies its temperature sensitivity. A maximum temperature sensitivity of 479.48 pm/°C is demonstrated when molded with acetal. The proposed fiber structure can also potentially allow the molding/coating materials to retain strong grip around the fiber in event of adhesion weakening.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".