Transmittal Effect Evaluation of Heterocyclic Rings on Nonlinear Optical Ambit of Benzotrithiophene-Based Push-Pull Driving Materials: a Theoretical Approach
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Bibliographic record
Abstract
To obtain extensive insights into NLO properties, herein, two series of benzotrithiophene (BTT) based organic compounds (MS1-MS5 and MP1-MP5) containing D1-π1-D2-π2-A-type framework have been designed. The structural tailoring was accomplished via the incorporation of thiophene and pyrrole units in MS1-MS5 and MP1-MP5, respectively at the region of π2 in each derivative. Quantum chemical calculations including: frontier molecular orbitals (FMOs), natural population analysis (NPA), UV-Vis investigation, transition density matrix (TDMx), density of state (DOS), molecular electrostatic potential (MEP) and natural bond orbitals (NBOs) analyses were accomplished at MPW1PW91/6-311G(d,p) functional to determine the influence of π-linkers on the optical response of designed chromophores. Conclusively, remarkable NLO results were obtained for thiophene-based derivatives (MS1-MS5) as compared to pyrrole-based derivatives (MP1-MP5). Interestingly, among all the derivatives, minimum Egap values of 2.248 and 2.264 eV were observed for MS4 and MS5, respectively, and the Egap values were found in the following decreasing order: MS1>MS3>MS2>MS5>MS4. Surprisingly, MS4 and MS5 displayed maximum amplitudes of < α> i.e., 2.44 × 10−22 and 2.65 × 10−22 esu as well as < γ> such as: 3.91 × 10−32 and 4.35 × 10−32 esu, respectively. Moreover, the declining trend of < γ> was observed as follows: MS5 > MS4 > MS2 > MS3 > MS1. In a nutshell, this investigation may provide a new insight for the use of these BTT-based organic chromophores especially MS4 and MS5 for potential NLO-based hi-tech applications.
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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 | 0.005 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it