New Dioximes as Bridging Ligands in 3d/4f-Metal Cluster Chemistry: One-Dimensional Chains of Ferromagnetically Coupled {Cu<sub>6</sub>Ln<sub>2</sub>} Clusters Bearing Acenaphthenequinone Dioxime and Exhibiting Magnetocaloric Properties
Bibliographic record
Abstract
The employment of the tetradentate ligand acenaphthenequinone dioxime (acndH 2 ) for a first time in heterometallic Cu II /Ln III (Ln = Gd and Dy) chemistry has afforded the one-dimensional coordination polymers [Cu 6 Gd 2 (acnd) 6 (acndH) 6 (MeOH) 6 ] n ( 1 ) and [Cu 6 Dy 2 (acnd) 6 (acndH) 6 (MeOH) 2 ] n ( 2 ), which consist of repeating {Cu 6 Ln 2 } clusters that are intermolecularly linked to each other through the oximate groups of two η 2:η 1:η 1:μ 3 acnd 2– ligands. The [Cu 6 Ln 2 (μ 3 -NO) 6 (μ-NO) 8 ] 4+ core is unprecedented in heterometallic cluster chemistry and comprises two symmetry-related {Cu 3 Ln} subunits, each with a distorted trigonal pyramidal topology. Magnetic susceptibility studies revealed the presence of predominant ferromagnetic exchange interactions within the {Cu 3 Ln} subunits and weak antiferromagnetic interactions between them. As a result, the magnetic and magnetocaloric properties of the {Cu 6 Gd 2 } n compound could be rationalized in terms of two weakly coupled S = 5 spins that yield a magnetic entropy change of −Δ S m = 11.8 J kg –1 K –1 at T = 1.6 K for μ 0 Δ H = 7 T.
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) | 0.000 | 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".