Impacts of Adsorbed N2 on the Diffusion of CO2 and H2O in CALF-20 Assessed via a Frequency Response Method
Bibliographic record
Abstract
The diffusion of CO2 and H2O in CALF-20 was examined at various concentrations and in N2 and He carrier gases. The data show that N2 has a measurable impact on the diffusion of CO2 and H2O in the pores of CALF-20. The results highlight the importance of considering N2 adsorption in CO2 capture materials and the effect that co-adsorbed N2 can have on CO2 and H2O diffusion mechanisms. Because multiple diffusion data points were required as a function of concentration, concentration swing frequency response (CSFR) was used to examine the system. CSFR typically involves perturbing the inlet concentration sinusoidally at a single frequency while monitoring the concentration response at the effluent. To increase the throughput of this device, a methodology was developed based on the Fourier transform of the response of an adsorbent bed to a square wave perturbation of the inlet concentration. FT-CSFR allows multiple data points to be obtained with a single experiment and generally produces results 3x faster than sinewave-only frequency response data collection.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".