Performance of activated stainless steel and nickel-based anodes in alkaline water electrolyser
Bibliographic record
Abstract
Four different alloys including SS316, SS304, Inconel718 and Incoloy800 are activated by electro-oxidation at +1.70 V vs. RHE in 7.5 M KOH for 18 h. Their OER activity are evaluated ex-situ using linear sweep voltammetry in 1.0 M KOH in a three-electrode electrochemical cell. X-ray photoelectron microscopy and scanning electron microscopy are used to obtain the surface composition and surface morphology. It is found that the OER activity improves as the Ni content at the surface increases. A Ni mesh along with untreated and activated SS316 meshes were investigated in-situ in 30 wt% KOH at 80 °C in an alkaline electrolyser. The effect of temperature up to 80 °C as well as pressure up to 9 bar are studied on the cell performance. It is observed that the cell with activated SS316 as anode is outperforming those with the Ni and untreated SS316 as anode. Up to 255 h durability tests at constant current of 0.8 A cm−2 at 80 °C and 9 bar shows no degradation in the performance of the cells containing Ni and activated SS316 as anode. SS316 is also activated in-situ at 1.76 A cm−2 for 18 h and 2 bar. The in-situ activation improves the SS316 OER activity.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".