Molecular Layer Deposition of an Aluminum Formate Metal–Organic Framework for Selective Carbon Dioxide Capture
Bibliographic record
Abstract
The urgent need for compact, high-performance CO 2 sorbents has spurred the development of vapor-deposited ultrathin films. Here, we construct aluminum formate metal–organic framework (ALF-MOF) films via molecular layer deposition (MLD) and vapor-phase activation. Self-limiting growth is achieved at 150 °C via alternating 0.8 s pulses of trimethylaluminum and 1.5 s pulses of formic acid, yielding 3.6 Å per cycle, as confirmed by quartz crystal microbalance and atomic force microscopy. Subsequent exposure to 55 °C formic-acid vapor transforms the amorphous film into a crystalline ALF-MOF, and X-ray diffraction reveals that the onset of crystallization begins within 30 min and ends after 48 h. Mass spectrometry confirms the framework connectivity, and scanning electron microscopy shows the conformal coverage. Crystalline films show Type I CO 2 isotherms (3.95 mmol·g –1, 25 °C) with negligible N 2 uptake at 77 K, matching bulk ALF. Deposition on submicron features position ALF-MOF MLD as a scalable route for embedding selective CO 2 capture in next-generation separation devices.
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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".