Four-coordinate complexes of late transition metals with phenanthridine-containing ligands
Bibliographic record
Abstract
Phenanthridine is the benzannulated version of the more well-known quinoline ligand fragment. Despite its promising electronic features, the inclusion of phenanthridine in ligands for transition metal coordination is currently underexplored. This work investigates the photophysical, spectroscopic, and electrochemical properties of transition metals complexes that contain the phenanthridine fragment in their ligand structure. Specifically, the complexes studied in this work are four-coordinate complexes of late transition metals – their structures range from tetrahedral to square planar, allowing us to examine the change in geometry as ligand structure changes. This document presents two projects. The first is an examination of the relationship between ligand Namido character and emission intensity in Zn(II) complexes. It includes the synthesis of three new Zn(II) complexes, the computational analysis of bonding, and the spectroscopic and computational investigation of the photophysical processes at work. The second project is a characterization of the Ni(II), Pd(II), and Cu(II) complexes of a new tetradentate NNNN diamido ligand. It presents the synthesis of the new ligand and its complexes, as well as the structural, spectroscopic, electrochemical, and computational analysis. Together, these projects demonstrate the versatility of the phenanthridine ligand fragment in coordination with late transition metals.
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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".