Carbon‐Based Nanostructured Film Materials for High‐Intense Laser‐Matter Interaction Experiments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper, a new synthesis of carbon ‐ based nanostructured films for application as plasma facing materials during high‐intense laser‐matter interaction experiments is presented. The materials are produced using a Polyethylene glycol (PEG) matrix, nanostructured with multiwalled carbon nanotubes, or multi‐layer graphene flakes producing a 250 μm thick film. The films are deposited onto typical materials used in harsh environments such as plasma facing materials. These PEG reinforced materials are irradiated by laser‐accelerated particles and by an in‐air plasma, both are techniques that have shown to heavily stress and damage materials used in laser‐matter interaction experiments. The authors observe that the chemical structure of the PEG reinforced materials, when irradiated by both techniques, stays unchanged. However, one can see that the PEG layer adds considerable longevity to the underlying materials, making it more robust against erosion and ablation occurring during its operation.
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.
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) | 0.006 | 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 it