Microstructural Dynamics in Cement Mortars Fortified with a Sustainable Graphene Derivative
Bibliographic record
Abstract
This study explores the influence of a sustainable form of graphene derivative, Date Syrup Graphene Sand Hybrid (D-GSH), on the microstructural evolution of cement mortars.Two mortar mixtures were prepared: plain and D-GSH-modified cement mortar.D-GSH-modified cement mortar mix had a concentration of 0.5% by weight of cement, while maintaining a water-to-cement ratio of 0.5.The synthesized D-GSH was ultrasonicated in water to ensure dispersion before incorporation.Microstructural changes were assessed using Scanning Electron Microscopy (SEM) and X-ray Diffraction (XRD) at 1 and 7 days.The results revealed that D-GSH significantly accelerated the hydration and enhanced the microstructure.The mixture made with 0.5% D-GSH exhibited a denser matrix, refined crystalline morphology, and reduced porosity, attributed to the nucleation effect of D-GSH.Unique flower-like structures on the surfaces of calcium silicate hydrate (C-S-H) crystals were observed in the D-GSH-modified mixes, which were absent in the plain mix, resulting in reduced pores in the microstructure of the D-GSH-modified mixtures.XRD analysis confirmed the enhanced hydration kinetics with accelerated C 3 S consumption and higher portlandite (Ca(OH) 2 ) formation.The findings suggest that D-GSH could improve the performance and longevity of cement mortar, offering a sustainable solution for developing advanced building materials.
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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".