Theoretical investigation of second-order nonlinear optical response — Hexamolybdate as a superior donor over metal carbonyl complexes in the D–π–A model
Bibliographic record
Abstract
Density functional theory (DFT) calculations were carried out to investigate the nonlinear optical (NLO) response for the donor-conjugated bridge-accepter (D–π–A) model of p-nitroaniline (PNA) – hexamolybdate derivatives and PNA–metal–carbonyl complexes. The bond length alternation (BLA) values decrease with lengthening of the π-conjugated bridge, especially for PNA–hexamolybdate derivatives, which dramatically enhances the NLO response. In addition, the introduction of Mo≡N in PNA–hexamolybdate derivatives is expected to provide a better electron transition channel, consequently generating lower BLA values and an outstanding NLO response compared with PNA–metal–carbonyl complexes. It is shown that the hexamolybdate acts as an electron donor when incorporating metal–carbonyl complexes into one molecule. All these behaviors reflect the superiority of hexamolybdate as a donor moiety in the D–π–A model for the design of potential NLO 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".