Interlocking Membrane/Catalyst Layer interface for High Mechanical Robustness of Hydrocarbon Membrane Based PEMFC
Bibliographic record
Abstract
For decades, the use of hydrocarbon ionomers in PEMFCs has been constantly attempted as a membrane to replace the commonly used perfluorinated ionomers to lower costs, raise fuel efficiency, and enable easier manufacturing of membrane electrode assembly (MEA). Examples include sulfonated poly(arylene ether sulfone)(s-PAES), sulfonated poly(ether ether ketone) (s-PEEK), and sulfonated polyimide (s-PI). However, when a hydrocarbon membrane is assembled with catalyst layers (CLs) based on a perfluorinated ionomer, a problem of interfacial delamination between the membrane and the CL is often encountered. Due to the poor interface between hydrocarbon ionomer based membrane and perfluorinated ionomer based catalyst layer, in many cases, opportunities to be employed in PEMFC have been denied.To address this problem, hydrocarbon ionomers having chemical structures similar to those of the membrane have been introduced as proton conducting polymer electrolytes into CL. However, due to the low oxygen permeability of the hydrocarbon ionomers, the corresponding CL showed a relatively low power performance. Although such tight interfacial bonding for hydrocarbon membranes has been urgently requested, the problem still remains unsolved. Here, we propose an interlocking interface structure for providing a tight interfacial bonding between hydrocarbon membrane and perfluorinated ionomer based CL, turning away from the previous focus on chemical modification and physical roughening. This approach is based on a friction force generated due to a difference in volume expansion between the two polymers in an interlocked architecture. The interlocked interface of sulfonated poly(ether ether ketone) and Nafion based CL were realized and evaluated. A profound improvement in interfacial bonding strength was observed with the interlocked architecture. Also, under accelerated stress conditions, interfacial bonding was better maintained with the interlocked interface. The physical interlocking strategy could provide an oppotunity for a lot of hydrocarbon membrane suffering from poor interfacial adhesion to be used in PEMFC.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".