Enhancing CO<sub>2</sub> Capture Via Fast Microwave-Assisted Synthesis of the CALF-20 Metal–Organic Framework
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Metal–organic frameworks (MOFs) are promising porous materials for CO 2 adsorption due to their high surface area, tunable properties, and selective adsorption capabilities. The recently reported Calgary Framework 20 (CALF-20) MOF has very appealing CO 2 capture properties: high uptake capacity; low regeneration energy; durability (>450 000 cycles) under steam and wet acid gases; simple and scalable synthesis. This study investigates the microwave (MW)-assisted synthesis of CALF-20, which reduces reaction time 12-fold while enhancing the synthesis yield to 97%. Structural analysis confirmed that MW-synthesized CALF-20 retains its crystallographic structure and shows improved CO 2 capture performance, exhibiting higher adsorption capacity (∼20% higher), selectivity, and lower regeneration energy. This method provides a rapid and efficient alternative for producing the CALF-20 adsorbent for CO 2 capture and separation applications.
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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".