Quasilocalized hopping in molecularly linked Au nanoparticle arrays near the metal-insulator transition
Bibliographic record
Abstract
We have investigated the temperature dependence of the conductance of 1,4-butane dithiol linked Au nanoparticle films from $2\phantom{\rule{0.3em}{0ex}}\mathrm{K}\phantom{\rule{0.3em}{0ex}}\text{to}\phantom{\rule{0.3em}{0ex}}300\phantom{\rule{0.3em}{0ex}}\mathrm{K}$. At low temperatures $(T<10\phantom{\rule{0.3em}{0ex}}\mathrm{K})$, conductance becomes independent of temperature and exhibits strong nonlinearity with voltage, which we attribute to tunneling. At higher temperatures $(T>20\phantom{\rule{0.3em}{0ex}}\mathrm{K})$, the conductance behaves as $g\ensuremath{\propto}\mathrm{exp}[\ensuremath{-}{({T}_{0}∕T)}^{1∕2}]$. Qualitatively, this is consistent with an Efros-Shklovskii variable range hopping model based on a competition between Coulombic and intercluster tunneling processes. However, we find that hopping distances are too large ($62--720\phantom{\rule{0.3em}{0ex}}\mathrm{nm}$ at $100\phantom{\rule{0.3em}{0ex}}\mathrm{K}$) to be consistent with tunneling between clusters and tend to scale with cluster size. We propose a modified, ``quasilocalized hopping'' model based on competition between single-electron cluster charging and intracluster electron backscattering to explain this temperature dependence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".