Tellurite glass based optical fiber for the investigation of supercontinuum generation and nonlinear properties
Bibliographic record
Abstract
Abstract This manuscript introduces a unique tellurite core-based photonic crystal fiber (PCF) with silica clad and circular air holes, which manifests highly birefringent and non-linear characteristics. Several optical features, such as birefringence (Br), nonlinear coefficients (NLC), dispersion (D), confinement loss (CL), material loss, etc are thoroughly analyzed and explored by applying the finite element method (FEM). The simulated outcomes validate that by optimizing the formation of the cladding region, a large NLC of 7650 W − 1 Km − 1 , as well as an ultra-high Br of 11.2810 − 2 and zero-dispersion can be accomplished in the offered PCF design at 1.56 μm wavelength. Moreover, the evaluated findings indicate that the stated fiber structure is capable of generating a wide supercontinuum spectrum spanning from 943 to 8038 nm when augmented with a 4.5 kW input power and a pulse duration of 20 f s . Calculations and analyses have been carried out on the effects of higher-order dispersion co-efficients, pulse length and input power on spectrum broadening. The advanced PCF design will be a suitable candidate for practical applications in numerous fields, including bio photonics, biomedical imaging, biosensing, spectroscopy and ultra-broadband signal amplification, etc.
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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 | 0.000 | 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) | 0.001 | 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 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".