Electrochemical Characterization of Hydrocarbon Bipolar Membranes with Varying Junction Morphology
Bibliographic record
Abstract
Current water electrolysis technology is limited to operation at a single pH through the use of ion exchange membranes or traditional liquid alkaline systems. Using a bipolar membrane, comprised of both a cation and anion exchange membrane, operation across a pH gradient may be achieved, with the hydrogen and oxygen evolution reactions occurring in acidic and basic media, respectively. In this work, we focus on the characterization of hydrocarbon bipolar membranes for electrolytic water splitting based on two emerging classes of hydrocarbon ion-conducting polymers. The influence of the cation and anion exchange membrane interface on the efficiency of water dissociation is explored using two types of 3D, dual-fiber electrospun junctions. The results support the view that both high interfacial surface area and inclusion of Al(OH) 3 enhance water dissociation under high current densities and affect the rate of ion leakage under open circuit potential. While dual-fiber electrospun interfacial layers were found to provide high junction surface areas, poor adhesion of some hydrocarbon-based polymers is observed due to their relatively high glass transition temperature. This restricts the formation of a strong interfacial layer, as the different polymers are unable to properly entangle while in the glass phase.
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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".