Edge-Type Reference Electrode Application for AEM-WE Durability Testing
Bibliographic record
Abstract
Anion-exchange membrane water electrolyzers (AEM-WE) have been identified as a promising solution to deliver green hydrogen at a lower cost than alkaline water electrolyzers (AWEs) and proton-exchange membrane water electrolyzers (PEM-WEs). However, scaling AEM-WE is limited by high voltage degradation rates which can become amplified and more complicated during operation as components within the membrane electrode assembly (MEA) evolve and interact with one another. These phenomena necessitate testing protocols that capture the degradation of individual MEA components in situ. Herein, an edge-type reference electrode and a novel flow plate design enabled decoupling of anode and cathode degradation over stability tests >200 h. A critical assessment of the overpotential measurements is provided, utilizing half-cell impedance measurements to highlight the effects of electrode misalignment. 3-electrode cyclic voltammetry is presented as an effective in situ tool to evaluate electrode degradation. These findings demonstrate the utility of edge-type reference electrode configurations in stability tests for the development of commercial scale AEM-WE.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".