Enhanced CO <sub>2</sub> Adsorption on Activated Carbon‐Modified HKUST‐1 Composites
Bibliographic record
Abstract
Abstract Mesoporous activated carbon (AC)‐modified HKUST‐1 composites with different AC contents were prepared and were used for CO 2 adsorption. The structure and physiochemical properties of the composites were characterized by scanning electron microscopy(SEM), X‐ray diffractometer(XRD), thermogravimetry(TG) and nitrogen adsorption techniques. The results showed that the surface area and micro pore volume for the HKUST‐1@AC composites increase obviously compared to the HKUST‐1. Especially, the HKUST‐1@AC/2% gave the maximum specific surface area of 1145.71 m 2 /g and micropore volume of 0.4363 mL/g, resulting in highest CO 2 adsorption capacity of 155.7 mg/g, which is almost two times than that of the unmodified HKUST‐1. The content of oxygen‐containing functional groups in AC also play an important role in CO 2 adsorption for the HKUST‐1@AC/2% composites, and the optimum content of oxygen‐containing functional groups for the coconut shell AC is about 2.9 mg/g. This might be due to that HKUST‐1 grows along the surface of AC with rich oxygen‐containing functional groups, and a large number of micropores are formed between the two interfaces, therefore increasing CO 2 adsorption amount.
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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".