Heterogeneous aqueous CO<sub>2</sub> reduction by rhenium(<scp>i</scp>) tricarbonyl diimine complexes with a non-chelating pendant pyridyl group
Bibliographic record
Abstract
Electrocatalytic CO2 reduction in water using a series of chlorotricarbonylrhenium(i) diimine complexes deposited on pyrolytic graphite electrodes is described. Two known CO2 reduction catalysts (with diimine = 4,4'-di-tert-butyl-2,2'-bipyridine or 2-(2'-quinolyl)benzimidazole), that are highly active in organic solvent, proved to be only weakly active in water. In contrast, Cl(CO)3Re(L) complexes with tridentate nitrogen-containing ligands (L = 4,4',4''-tri-tert-butyl-2,2':6',2''-terpyridine or 2,6-bis(2-benzimidazolyl)pyridine) were better CO2 reduction catalysts. In those Cl(CO)3Re(L) complexes, only two N-atoms of the ligand are coordinated to the rhenium, leaving the third arm of the ligands to support activated, CO2-bound intermediates. The 2,6-bis(2-pyridyl)pyridine (terpy) complex was the most active, with substantial activity at alkaline pH.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.000 | 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 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".