Effect of Martensitic Transformation of NiTi Particles on Temperature Sensitivity of Flexible VGCF/PDMS Films
Bibliographic record
Abstract
Abstract A novel NiTi/vapor grown carbon fiber (VGCF)/polydimethylsiloxane flexible film is successfully prepared, of which the resistivity can keep stable under various strain deformation. By introducing NiTi particles with appropriate phase transition temperature, the resistivity change value of the composite in the temperature range can be doubled without affecting the flexibility of the composite. A computer simulation based on percolation network (PN) theory and Monte Carlo (MC) calculation is developed to understand the mechanisms of resistivity temperature curves. The simulation results agree with experiments quantitatively, which reveal that the inhomogeneous martensitic transformation of NiTi particles is a dominant mechanism for the enlarged and nonlinearity resistivity temperature variation of the composite. Parametric studies have been conducted and the calculation results show that selecting NiTi particles with smaller particle diameter, VGCF with higher conductivity, and polymer with larger coefficient of thermal expansion is conducive to further obtain flexible composite films with better temperature sensitivity.
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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".