In-Situ Electrochemical Characterization of Proton Exchange Membranes for Water Electrolysis
Bibliographic record
Abstract
Proton exchange membrane water electrolysis (PEM-WE) is a clean method for hydrogen production and an important piece in the adoption of a hydrogen fuel economy. Proton exchange membranes require specific chemical and physical properties for efficient use in the PEM-WE system, and development of these membranes still presents a major challenge. Current industry standards such as Nafion®, developed by DuPont, are costly, show high gas permeability, and are limited to operation below 90 °C.1 Performance of a novel sulfonated poly(arylene ether) membrane, SA8, is investigated in this research. SA8 has shown a significantly higher glass transition temperature than Nafion, better mechanical properties, higher proton conductivity, and better chemical stability from various ex-situ tests and in-situ fuel testing. The multiphenylated backbone creates free volume around the sulfonic acid sites, which allows for greater water uptake with minimal swelling.2 The presence of water is not only necessary for proton conductivity but is of particular importance in the water electrolyzer where the cell is fed liquid water, rather than operated at various humidities as in a fuel cell. In this research SA8 is found to successfully operate in a water electrolysis system at a temperature of 90 °C for over 120 hours. Polarization curves taken at 60 °C show operation of a 25 μm membrane at 1.8 V reaching a current density of 4 A cm-2. Ito, H., Maeda, T., Nakano, A. & Takenaka, H. International Journal of Hydrogen Energy (2011) Lee, H. F., Huang, Y.C., Wang, P.H., Lee, C.C., Hung, Y.S., Gopal, R., Holdcroft, S., Huang, W.Y. Mater. Today Commun. 3, 114–121 (2015).
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".