Acquiring an Efficient Warm‐CO<sub>2</sub> Sorbent from Advanced Pyrolysis of Magnesium Oxalate
Bibliographic record
Abstract
Abstract For the first time, porous MgO with a Brunauer–Emmett–Teller (BET) surface area over 200 m2 g−1 can be simply obtained from pyrolysis of common magnesium oxalate without any solvent or additive. The obtained porous MgO had a large surface area of 278.5 m2 g−1 and captured 30.8 mg g−1 of CO2 in the instantaneous adsorption at 473 K, comparable with many MgO‐based sorbents prepared through complex procedures. Use of a U‐pipe furnace along with the specific “throughout” sweeping mode of nitrogen carrier gas enable this efficient warm‐CO2 sorbent to be fabricated in a simple way. Factors including contacting modes between precursor salt and flowing gas, flow rate, type of gas and salt were carefully studied, and related to the pore structure and adsorption character of the MgO samples. Apart from the capability of trapping CO2 mixed with SO2 and NO at 473 K, the MgO sample showed a high ratio of exposed strong basic sites (70.5 %), which provides a useful solid strong base for control of CO2 in flue gas.
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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) | 0.000 | 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 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".