Pore Shape Affects Spontaneous Charge Redistribution in Small Pores
Bibliographic record
Abstract
A complete understanding of charge redistribution (spontaneous movement of charge once the system has been placed on open-circuit) in porous materials is desirable because charge redistribution will affect the performance of devices incorporating porous electrodes. In this paper, a model pore based on the de Levie transmission line model is used to examine the effects of pore geometry on charge redistribution, including pore size, pore shape, and the presence of bottlenecks. Results highlight that pore geometry does affect the charge redistribution profile and emphasize the importance of the diameter of the pore mouth on charge redistribution. For cone, inverted cone, and cylindrically shaped pores having the same total resistance and capacitance, cone-shaped pores were able to accumulate the most charge. Results also indicate that the presence of a restrictive bottleneck beyond the pore mouth results in a charge redistribution profile with multiple slopes.
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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 | 0.000 |
| 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 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".