Conductance peaks and exotic metallic behavior in an engineered nanoscale system: Signatures of correlated quasiparticles
Bibliographic record
Abstract
We have studied conductance ($g$) of 1,4-butanedithiol-linked Au nanoparticle films (NPFs) through a percolation Mott-Hubbard insulator-to-metal transition (MH-MIT) from a Mott insulating phase with significant nanostructure-induced Coulomb charging barriers to a metallic phase. Near the transition, the NPFs traverse an exotic metallic phase exhibiting a pseudogaplike behavior and a zero-bias conductance peak. The peak decays rapidly with increasing temperature, yielding power-law fits with an average exponent of $3.8\ifmmode\pm\else\textpm\fi{}2.9$ and surviving in some samples up to remarkably high temperatures of $\ensuremath{\sim}$20 K. We propose that the peak is an Abrikosov-Suhl resonance previously observed in nonnanoengineered, correlated materials near MH-MITs. Since nanostructures can be controllably synthesized over a wide range of parameters, the study highlights an opportunity to use nanoengineered correlated materials as a powerful platform to study this exotic metallic phase and electron correlations.
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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) | 0.000 | 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".