Macroporous geopolymers designed for facile polymers post-infusion
Bibliographic record
Abstract
Highly porous geopolymers suffers from poor mechanical properties; typically intrinsic brittleness, low compression strength and very weak toughness. Geopolymers were designed so that they can be reinforced by incorporating a low viscosity polymeric resin through a facile post-infusion process. Porosity in the range of 100–4700 μm was generated by decomposition of hydrogen peroxide and large expanses of open porosity was obtained by the addition of small amounts of saponified canola oil as a surfactant. Geopolymers with high open porosity (~60 vol%) and low compression strength (<1.5 MPa) were infilled with an unsaturated polyester resin. High amounts of resin (>75 vol% with respect to the open porosity) were incorporated and polymerized within the porous geopolymer framework. As a result, compressive strength of geopolymers composites can be increased as much as 40 times despite poor interfacial adhesion prevailing between inorganic and organic phases.
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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) | 0.001 | 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 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".