Metallic Single Electron Transistors: Impact of Parasitic Capacitances on Small Circuits
Bibliographic record
Abstract
A method of simulating metallic-island single electron transistors (SETs) and small circuits which speeds up the design-fabrication-characterization cycle is proposed. The method combines finite-elements method to extract device capacitance matrix and standard master equations solved by Monte Carlo to simulate device transport characteristics based on the fabrication geometry and materials. It allows simulation of SET circuits. The simulation method is detailed using two capacitively coupled SETs acting either as an electron box or a sensor. The method is also compared with isolated SETs fabricated using the nanodamascene process and characterized at low temperatures. Experimental devices show clear Coulomb blockade diamonds at 1.5 K and charging energies up to 3 meV. The simulation platform predicts the electrical behavior accurately with minimal fitting parameters. This method allows rapid and accurate design iterations before costly fabrication.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".