Molecular Signature and Activationless Transport in Cobalt‐Terpyridine‐Based Molecular Junctions
Bibliographic record
Abstract
Abstract Cobalt terpyridine oligomers are compared with π‐conjugated and ruthenium‐centered layers in molecular junctions (MJs) with identical contacts. A wide range of layer thickness is investigated, and attenuation plots are obtained. Strong dependence of charge transport on molecular layers is found with a variation of four orders of magnitude of current density ( J) for different molecules and d = 7 nm. For a Ru(bpy)3 complex and bis‐thienylbenzene MJs, the attenuation plot shows two different regions corresponding to two different dominant transport mechanisms. On the contrary Co(tpy)2 and viologen‐based MJs show no transition thickness in the attenuation plot, indicating a possible change of mechanism with film thickness, and very low attenuation factors (β of 0.17 and 0.25 nm−1 from 2 to 14 nm, respectively). These β values indicate highly efficient long‐range transport. This is attributed to the fact that the energy levels of the frontier orbital involved in transport are between, and thus almost in resonance with, the Fermi levels of the electrodes. Temperature‐dependence measurements suggest that field ionization followed by multistep hopping and redox events can occur above 100 K, while the activationless region at low T indicates incoherent tunneling between redox sites with reorganization concerted with charge transfer.
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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".