SYNTHESIS AND CHARACTERIZATION OF SEMI-ORGANIC SINGLE CRYSTAL FROM LPHENYLALANINE DOPED UREA ASSISTED COBALT CHLORIDE, pp. 226-230
Bibliographic record
Abstract
In this work synthesis and characterization of L-Phenylalanine doped urea assisted cobalt chloride single crystal was carried out.The slow evaporation approach with controlled temperature conditions was used to create a single crystal.L-Phenylalanine, an important amino acid, was used as a dopant to improve the characteristics of the cobalt chloride crystal.UV-Vis spectroscopy was used to analyze the optical characteristics of the single crystal, indicating higher optical absorption in the visible region due to L-Phenylalanine doping.Fourier-transform infrared spectroscopy (FTIR) confirms the vibrational bonds of the crystal.The crystalline nature and phase purity of the produced single crystal were validated by X-ray diffraction (XRD) analysis, which showed the material's crystalline structure.SEM was used to investigate the surface morphology and growth pattern.Furthermore, dielectric measurement was carried out to examine the dielectric constant and dielectric loss of the single crystal, revealing its suitability in the manufacturing of optical materials.Finally, the L-Phenylalanine doped urea assisted cobalt chloride single crystal outperformed the pure crystal in terms of optical absorption, and dielectric loss.These results offer up new pathways for prospective applications in optoelectronics, photonic devices, and sensor technologies.
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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".