Room Temperature Nanojoining of Triangular and Hexagonal Silver Nanodisks
Bibliographic record
Abstract
Room temperature nanojoining is an important phenomenon that has to be understood well for use in different applications, for example, for assembly of nanoscale building blocks into nanoscale and microscale structures and devices. However, the mechanism for nanoparticle joining at room temperature is not well established. In this research, we employed molecular dynamics simulation to explain how and why silver nanodisks are joined/assembled but with their original shape unchanged. To support our theoretical observations, we compared our simulation results to SEM and HRTEM observations of joined silver nanodisks. It was found that joining at a wide temperature range (1–500 K) can be done through short movement and rearrangement of surface atoms and subsequent elastic or plastic deformation of the particles, resulting in perfect crystal alignment at the joint interface. Our simulation shows the crystal defects such as dislocations due to initial lattice mismatch of the crystals can be sintered out to yield a perfect crystalline structure at the interface between joined particles, which is supported by the experimental observations.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".