Bibliographic record
Abstract
A new technology is suggested for crystallizing arbitrary materials at temperatures of 3000-4000ºC and pressures of 20-100 thousand atmospheres. First experimental results were obtained in a foil-coated polycarbonate that comprised diffraction gratings. It was established that a laser beam reflected from the diffraction gratings is self-focused inside polycarbonate and becomes a seed, which changes the polycarbonate structure and leads to vitrification and growth of ordered structures from symmetrically arranged whiskers. This results in a light dispersion effect in composites. The results concerning whiskers formed with sharp tips are presented. We used data obtained in these experiments for developing a model of crystallization with the rates of 80-100 m/s. In this case, not only crystals grow, but nanowhiskers also. A new phenomenon of nanowhiskerography was discovered, which can be used for developing the defence against falsification that cannot be reproduced by polygraphic methods. A fundamental data, obtained in this article is allowed us to use technology for crystallisation any materials (glass, quartz, semiconductors, whisker graphite). The term “coherent nanowhiskerography” - is introduced for the first time by us, because the whisker crystallization occurs with a delay in reflection from two diffraction gratings, which are situated at the different depths. Thus, each whisker repeats in structure a retarded whisker during the crystalization. Due to this, unique optical and electrophysical properties arise. Since at the ends of whiskers there is only 1-2 atoms with dangling chemical bonds, therefore, the technology is extremely promising for the new direction of creating a new direction of terahertz technology and also up to date generations of the computing technology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".