The Computational Study of Optoelectronic Properties of Perylene Diimide and Nucleotide Supramolecular Complex (GMP:PDI)
Bibliographic record
Abstract
In this study, the, Optoelectronic characteristics, and electronic circular dichroism (ECD) spectra of the supramolecular assembly of a perylene diimide analog having β- alanine at the amide positions (PDI(β-ala)) and guanosine-5′-monophosphate nucleotide (GMP) were studied experimentally and computationally. The investigation encompassed geometric characteristics, dipole moments, hyperpolarizabilities, frontier molecular orbitals (FMO), density of states (DOS), and spectral analysis. Interaction types were evaluated using noncovalent interactions, QTAIM topology analysis, and natural bonding orbitals. The electron transfer properties of the GMP-PDI (β-ala) complexes showed significant enhancement over pristine PDI, with the band gap energy decreasing from 2.52 to 1.62 eV. A marked improvement in initial hyperpolarizability to 63.47 × 10 1 a.u. and linear polarizability to 21.78 × 10 2 a.u. was observed in the GMP-PDI(β-ala) complex, compared to the PDI initial hyperpolarizability of 43.22 × 10 1 a.u. and linear polarizability of 81.48 a.u. Moreover, UV–vis absorption, emission, and electronic circular dichroism spectra were used to examine photophysical properties. The UV–vis spectra showed significant redshifts and increased absorption in the GMP-PDI complexes. The variations in the maxima of the emission spectra indicated changes in the electronic environment and higher fluorescence. The ECD study revealed effective structural chirality and supramolecular interactions. The results show that GMP-PDI(β-ala) complexes exhibit excellent optoelectronic characteristics, making them quite valuable for producing future optical materials. This extensive research highlights the potential of GMP-PDI(β-ala) complexes in complicated optoelectronic applications and provides valuable data for the synthesis of high-performance optical materials.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".