A Proton Selective Carbon Nitride Layer for High Durability Fuel Cells
Bibliographic record
Abstract
Abstract To achieve a balance between performance and durability in electrochemical energy conversion systems, such as fuel cells (FC) and water electrolyzers (WE), proton exchange membranes (PEMs) must be optimized for minimal thickness and resistance while maximizing gas rejection and durability. 2D materials, with Angstrom‐scale pores, hold the potential to revolutionize these devices by enabling highly selective proton transport and mitigating degradation pathways. However, to date no material has been implemented that can prevent gas crossover and extend the device lifetime without compromising initial performance. In this study, it is demonstrated that polytriazine imide (PTI), a 2D graphitic carbon nitride with optimally sized and functionalized lattice pores, facilitates unimpeded proton transport. By engineering a centimeter‐scale monolayer film composed of tessellated PTI nanosheets and placing it at the cathode‐PEM interface, significant gains in performance, efficiency, and durability ‐are achieved. These results in PEMFCs show halved hydrogen crossover and over a threefold increase in lifetime. This approach promises to accelerate the adoption of economically viable FCs and WEs with enhanced output and extended service lifetimes, essential for achieving a decarbonized society.
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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) | 0.000 | 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".