Synthesis of Polymer‐like Hydrogenated Amorphous Carbon by fs‐pulsed Laser Induced Plasma Processing of Solid Hexane
Bibliographic record
Abstract
Abstract A new technique, that involves the plasma processing of frozen hydrocarbons by a pulsed laser generated graphitic plasma, is presented. Polymer‐like hydrogenated amorphous carbon (a‐C:H) thin films were created by allowing the plasma generated during the fs‐pulsed laser ablation of a highly oriented pyrolytic graphite target in high vacuum, to impact on solid layers of n‐hexane (CH3(CH2)4CH3) at 77 K. This technique results in the formation of thin films whose morphology and properties are shown to depend on the plasma processing time tp. Polymer‐like a‐C:H with residual hexane incorporated into the carbon matrix and exhibiting a unique dendritic surface morphology was formed after short processing times. Following longer processing times, these dendritic structures are destroyed resulting in thin films having similar spectral properties to those of conventional a‐C:H. The composition of the plasma was studied using time of flight mass spectrometer (TOF‐MS) and the surface morphology of the synthesized thin films was examined by atomic force microscopy (AFM). A variety of analytic techniques including photoluminescence (PS), UV–Vis absorption, surface enhanced Raman (SERS), and Fourier transform infrared (FTIR) spectroscopy have been used to characterize the structure and composition of these materials. magnified image
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".