Bundle of Nanobelts Up to 4 cm in Length: One‐Step Synthesis and Preparation of Titanium Trisulfide (TiS<sub>3</sub>) Nanomaterials
Bibliographic record
Abstract
Abstract One‐dimensional (1D) titanium trisulfide (TiS3) nanobelt bundles up to 4 cm in length have been successfully synthesized through an easy and common chemical vapor transition (CVT) process. The as‐synthesized samples were characterized by X‐ray powder diffraction (XRD), polarized light microscopy, scanning electron microscopy (SEM), and transmission electron microscopy (TEM). All microscopic observations indicated a belt‐like morphology. Powder XRD patterns showed that TiS3 crystallized in the monoclinic system with a = 4.958(1) Å, b = 3.393(1) Å, c = 8.793(3) Å and β = 97.27(5)°. TEM images revealed a nanostructure with an interplanar spacing of 0.87 nm. The ED pattern and HRTEM images confirmed the [014] elongated direction and the [001] dilated direction of the bundle of TiS3 nanobelts. Its tensile strength (TS) was further examined with a universal testing machine with 20 N as the biggest strength: the maximum stress and the break strain were 111.027 MPa and 97.1 %, respectively. Because the TiS3 nanocrystals are up to 4 cm in length and flexible enough to be cut into small pieces, they should be used directly in electrical and electronic applications. Also, these nanomaterials are synthesized and prepared by a simple one‐step process. (© Wiley‐VCH Verlag GmbH & Co. KGaA, 69451 Weinheim, Germany, 2006)
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 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) | 0.001 | 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".