Preparation and properties of calcium silicate hydrate-polymer nanocomposite materials
Bibliographic record
Abstract
A series of calcium silicate hydrate (C-S-H)-polymer nanocomposites (C-S-HPN) were prepared by incorporating a number of organic polymers into the inorganic layers of CSH during precipitation of quasicrystalline C-S-H from aqueous solution. The as-synthesized CSHPN materials were characterized by X-ray diffraction (XRD), thermogravimetric analysis (TGA), differential thermogravimetry (DTG) and differential scanning calorimetry (DSC), Fourier-Transform infrared (FTIR)-Photoacustic, X-ray fluorescence (XRF), scanning electron microscopy (SEM), atomic force microscopy (AFM), and NMR spectroscopy. Results on the intermediate nanostructural organization reflecting both intercalation of polymers and exfoliation of the C-S-H structure will be highlighted using XRD, SEM and AFM data. A discussion on the effects of the material composition and polymer type and content on selected C-S-HPN morphology, thermal stability and mechanical properties will be presented. Potential applications of these nanocomposites will be discussed.
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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".