Covalent organic framework (COF)-enhanced carbon hollow sphere (CS): a novel nano-porous material for robust epoxy composite coating intelligent corrosion protection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this research, carbon hollow spheres (CSs) were synthesized by carbonizing polysaccharide shells deposited on silica spheres as hard templates to obtain graphenic carbon shells. Melamine-based covalent organic framework (COF) 3D nanostructures (NSs) were synthesized onto the surface of CSs to enhance their compatibility with the epoxy matrix and their capacity for encapsulating zinc cations and green L-glutamate (ZG) as corrosion inhibitors. Corrosion protection studies of the CS@ZG-COF extract showed an increase in the total impedance of immersed steel from 2298.5 to 14,502.2 Ω cm 2 after 24 h, compared to the control solution. The potentiodynamic polarization (PP) test revealed an inhibition efficiency of 82.43% for the CS@ZG-COF extract. The EP/CS@ZG-COF coating demonstrated exceptional self-healing ability, corrosion protection, and barrier properties, forming a robust and uniform protective layer due to the release of encapsulated ZG complexes, which enhanced its electrochemical performance compared to other tested coatings. Furthermore, the incorporation of CS@ZG-COF NSs increased both dry and wet adhesion strength of the epoxy coatings, while the cathodic delamination radius was reduced from 7.6 to 4.4 mm in their presence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 it