A comprehensive review of the material innovations and corrosion mitigation strategies for PEMWE bipolar plates
Bibliographic record
Abstract
Proton exchange membrane water electrolyzers (PEMWE) are being considered as a high efficiency potential option for green hydrogen production. Bipolar plates (BPPs) are a crucial element within PEMWEs serving a significant function in the sepration of product gases, distribution of flow field, electron collection, and heat conduction. This review paper aims to investigate recent research on materials used in BPPs and examine several corrosion prevention strategies aimed at enhancing their durability and performance in PEMWEs. It presents a thorough examination of the materials utilized in BPPs, encompassing both conventional metals and advanced coatings. The analysis focuses on elucidating the distinct advantages and limits associated with these materials in relation to conductivity, mechanical strength, and resistance to corrosion. The review examines electrochemical techniques and microscopy methods utilized to assess corrosion behavior, guiding the selection and optimization of materials. Ultimately, this review offers a thorough comprehension of the current advancements in BPP materials and corrosion protection strategies for PEMWEs. • Consolidating recent research on BPP materials and corrosion prevention in PEMWEs. • Examining BPP materials, including traditional metals and advanced coatings. • Elucidating strengths and weaknesses of materials in conductivity and corrosion. • Investigating the physical and electrochemical characterization techniques.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".