Preparation and Characterization of TiN-SBR Coating on Metallic Bipolar Plates for Polymer Electrolyte Membrane Fuel Cell
Bibliographic record
Abstract
In order to reduce interfacial contact resistance (ICR) and enhance corrosion resistance of 310 stainless steel (310 SS) for bipolar plates (BPs) of polymer electrolyte membrane fuel cell (PEMFC), TiN with styrene-butadiene rubber (SBR) coating was prepared by using electrophoretic deposition. Microstructure of TiN-SBR coated 310 SS prepared under different conditions was characterized by scanning electron microscopy (SEM), and a uniform, dense and well-bonded TiN-SBR coating was prepared at 30 V for 10 s in the suspension liquid containing 6.0 g/L SBR. Polarization behavior in the simulated service environment of PEMFC (1 M H2SO4 at 298 K) and ICR of the TiN-SBR coating deposited under the optimized conditions were investigated. The results showed that the TiN-SBR coating successfully decreased the anodic polarization current and ICR, indicating excellent interfacial contact resistance and corrosion resistance.
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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 | 0.000 |
| 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 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".