Bibliographic record
Abstract
Colloidal semiconductor nanocrystals have shown great promise in functional devices \nsuch as solar cells and LEDs, but still relatively little is understood about the chemistry of their formation and resulting structure. In this thesis, we describe the results of our study of ultrathin Bi2S3 nanowires, part of the emerging class of materials at the transition from molecular scale clusters to nanowires, from a chemical perspective. Using a complementary suite of techniques, we propose an atomically precise model of the nanowires accounting for both the inorganic core structure and ligand-surface interaction for purified dispersions. The growth process of the nanowires was studied using in situ NMR on reaction mixtures and information on the growth and reactivity not attainable with purified dispersions was gained. The small molecule reactivity of the sulfur-oleylamine precursor was elucidated and it was shown that H2S is produced in situ leading to the formation of Bi2S3. This knowledge allowed for the extension of the sulfur-oleylamine precursor to SemSn-oleylamine, which produces H2S and H2Se in situ leading to the formation of homogeneous solid-solution PbSxSe1-x nanocrystals with tunable stoichiometry. Through this work, we elucidated each stage of the nanowire \nformation from small molecule reactivity, to growth process, to solution phase structure.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".