Integrated‐Channel Porous Transport Layers Reduce Ohmic and Mass Transport Losses in Polymer Electrolyte Membrane Electrolyzers
Bibliographic record
Abstract
Abstract To mitigate the impacts of anthropogenic climate change, clean energy storage solutions such as hydrogen produced via polymer electrolyte membrane water electrolysis (PEMWE) are critically required. However, the porous transport layer (PTL) in current PEMWE systems lacks optimization of through‐plane and in‐plane transport properties. In this work, a PTL design with integrated channels (IC‐PTL) to improve the PTL/flow channel interface and provide additional pathways for in‐plane flow is proposed. As current density increases, the IC‐PTL reduces mass transport overpotentials by up to 71.4% compared to the baseline PTL (B‐PTL) assembly due to shorter mass transport pathways. Moreover, the IC‐PTL lowers ohmic overpotentials at high current densities by up to 42.8% due to improved interfacial contact and enhanced membrane hydration. Membrane hydration is further quantified via X‐ray synchrotron radiography analysis of changes in membrane thickness and X‐ray transmission through the membrane, revealing that the IC‐PTL assembly displays a consistently thicker membrane and recovers from thinning faster than the B‐PTL assembly. Furthermore, membrane hydration is impacted more at the catalyst layer interfaces than in the center of the membrane. As such, the addition of in‐plane transport pathways to next‐generation PTL designs to improve membrane hydration and mass transport is recommended.
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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 | 0.000 | 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 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".