Constructing an ultra-low loading of IrPt bimetallic coated porous transport layer (PTL) for a PEM water electrolyzer application
Bibliographic record
Abstract
The passivation of Ti-based porous transport layer (PTL) occurs due to the formation of TiO x during prolonged operation of the proton exchange membrane water electrolyzer (PEMWE) in an acidic environment, thereby increasing the cell voltage. In this study, a bimetallic coating of Ir and Pt was applied using the sputtering technique to mitigate the degradation of Ti-based PTLs. The bimetallic coating not only minimized the precious metal loading to ultra-low levels but also demonstrated exceptional anti-corrosive properties. The stability number was employed to study about the dissolution behavior of precious metals, enabling direct evaluation of their lifetime. The bimetallic coated (IrPt-0.08) PTL exhibited 5.8, and 135.8-times higher stability number than those of the single metal Pt, and Ir, respectively. The Ir 4+ content in the bimetallic coating increased slightly compared to the single-metal Ir coating, which contributed to enhanced charge transfer against corrosion in acidic media. Using the IrPt-0.08 PTL, a single-cell performance of 1.730 V at 2.0 A cm −2 was achieved at 80 °C under ambient pressure. The bimetallic coating enhanced the conductive area in contact with the catalyst layer, facilitating the efficient charge transfer at the catalyst layer/PTL interface, furthermore, offered a durable PTL for the PEMWE applications. • Development of ulta-low loading IrPt bimetallic coatings on the Ti PTL. • Stability number was employed to investigate dissolution behaviour of coatings. • Conducted the comprehensive in-situ and ex-situ characterizations. • IrPt-coating showed better anti-corrosive properties compared to single metal Ir, Pt. • IrPt bimetallic coated Ti PTL offered PEMWE performance of 1.73 V at 2 A/cm 2 .
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".