Mechanical characterization of multifunctional highly porous carbon nanotube‐reinforced foams
Bibliographic record
Abstract
Abstract In recent years, novel features of ultra‐flexible nanocomposite foams have drawn tremendous attention toward these materials to be utilized in a variety of engineering applications. Since Young's modulus of nanocomposite foams is related to their mechanical strength and directly affects their applications, in this study, this property was evaluated experimentally and theoretically. In this regard, polydimethylsiloxane (PDMS)/multiwalled carbon nanotube (MWCNT) nanocomposite foams with different filler contents (e.g., 0.1, 0.25, and 0.5 wt%) and different porosities (e.g., 60%, 70%, and 80%) were fabricated by solvent casting and particulate leaching methods. The results suggested that the optimum value for foam porosity and MWCNT content is required to elevate Young's modulus of nanocomposite foams. The experimental data indicated that in the samples with 60% porosity increasing MWCNT content improved Young's modulus of the samples; however, in the samples with 70% porosity Young's modulus was elevated when the filler content was up to 0.25 wt%. Moreover, using the experimental data, a theoretical approach was successfully extended to predict Young's modulus of nanocomposite foams with the combination of different void fractions and CNT contents.
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 | 0.000 | 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) | 0.000 | 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".