Vapor-phase growth of single-crystal defect-free nanowires: Interface dynamics, morphology control, and emerging applications
Bibliographic record
Abstract
Nanowire-based technologies in electronics, photonics, and sensing demand high-quality nanowires with precise control over structure, morphology, and composition. Vapor-phase growth, such as vapor–liquid–solid and vapor–solid–solid, has enabled the controlled synthesis of elemental, group III–V, group II–VI, and a few oxide nanowires; however, many challenges remain. This review highlights the interface dynamics at the seed by comparing conventional growth with an unconventional set-up that has demonstrated success in controllably synthesizing single-crystal, defect-free oxide nanowires. Dynamic aspects are amplified when the substrate itself thermally evaporates at elevated temperatures to generate vapor species that are subsequently encapsulated on gold seeds, enabling nanowire growth at rates of ∼200 nm/min. This review examines the structural characteristics of gold–oxide interfaces, given their critical role in mediating key growth steps, ranging from oxide mass transport across vapors to solid phases, to nucleation and lateral growth at the nanowire growth front. Examples demonstrating how control over interface dynamics can tune nanowire morphology and functionality are presented. We anticipate that this review will provide an alternative perspective on addressing some fundamental processes in vapor-phase nanowire growth and provide valuable insights for further expansion of nanowire synthesis to new materials systems and applications.
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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".