Bibliographic record
Abstract
Bismuth (Bi) is a unique electronic material with small effective mass (~0.001me) and long carrier mean free path (100 nm at 300K). It is particularly suitable for studying nano scale related phenomena such as size effect and energy level spacing. In this thesis work, bismuth based nanoelectronic devices were studied. Devices were fabricated using a combination of electron beam (e-beam) writing and thermal evaporation techniques. Dimensions of the fabricated devices were in the order of 100 rim. All structures were optimized for individual electrical characterization. Three types of devices were studied: Bi nanowires, Bi nanowires with dual side-gate structures and Bi nanodot structures. In the study of Bi nanowires, metal-to-semiconductor transition phenomenon and size effect were observed. The conduction behavior of Bi nanowires changed from metallic to semiconductor when the device's critical dimension was reduced to below 50 nm. It is a solid experimental evidence of the quantum confinement-induced bandgap theory. Additionally, it has been found in the present work that resistivity of individual Bi nanowire increased as linewidth decreased indicating size effect occurred in the Bi nanowires. Dual side-gate structures were formed adjacent to the Bi nanowires in an attempt to modulate the current. Measurements showed a 7% of current modulation. The small current modulation suggested the high carrier density in the nanowire which has prevented the full depletion of free carriers. 100 nm-diameter Bi nanodot structures were fabricated utilizing proximity effect of e-beam writing. Precise control of electron doses and process conditions led to the successful fabrication of sub-nanometer tunneling junctions to the nanodots. Significant non-linear current-voltage (I-V) characteristic was observed at low temperatures. The step like I-V characteristic was a strong indication of energy level spacing in the zero-dimensional nanodot structure. The successful observation of energy level spacing in a relatively large nanodot is due to the small effective mass of bismuth material which leads to a measurable energy level spacing.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".