Implementation of ZnO-functionalized macroporous cellular geopolymer foams: influence of porosity on radiative and photocatalytic properties
Bibliographic record
Abstract
This work is part of a context of development of efficient photocatalytic materials for solar photoconversion in order to produce reactive species for degradation. Cellular foams, perfectly suited candidates, are the main subject of this work. Geopolymer foams were developed using two shaping methods, namely a replication method and a direct foaming method using a pore-forming agent. Macroporous cellular foams with a wide range of porous characteristics and porosities ranging from 0.06 to 0.9 were thus developed. The radiative properties were calculated by an experimental approach coupled with modeling. The absorption and diffusion coefficients, which depend on the porous characteristics, vary from 2 to more than 12 m 2 /Kg depending on the porosity of the foams. The absorption capacity is directly correlated to the average porosity of macroporous cellular foams, which promotes the diffusion of radiation within the cellular structure. The photoconversion process via the evaluation of the photocatalytic efficiency was then studied for the different foams. It appears that the photocatalytic efficiency is correlated to the porous characteristics of the foams. The photocatalytic efficiency of geopolymer foams consisting of closed or partially connected pores varies slightly. On the other hand, beyond the porosity threshold of 0.5, the photocatalytic efficiency of reticulated cellular foams consisting of an open porous network increases significantly depending on the porosity. A cellular geopolymer foam with a porosity equal to 0.89 gives an efficiency of 0.7%. This value is of the order of magnitude of those obtained in the literature for reticulated foams with high porosity. It also appears that catalytic performances are correlated with the radiative properties and in particular with the absorption coefficient of the foams. This original study establishes a correlation between porosity and photocatalytic performance highlighting the importance of porous properties. It seems essential to move towards the shaping of reticulated alveolar foams with high porosity consisting of open pores and millimeter sizes. • Macroporous cellular foams are elaborated with a wide range of porosity (0.06 to 0.9) • Absorption capacity is directly correlated to the porosity • Photocatalytic efficiency is increased with porosity and alveolar properties • move towards the shaping of reticulated alveolar foams with high porosity consisting of open pores and millimeter sizes
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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) | 0.000 | 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".