A Novel Solid Oxide Electrolysis Cell with Micro‐/Nano Channel Anode for Electrolysis at Ultra‐High Current Density over 5 A cm<sup>−2</sup>
Bibliographic record
Abstract
Abstract Solid oxide electrolysis cells (SOECs) are regarded as promising candidates for the next generation of energy conversion device due to their extremely high conversion efficiency. However, the electrolysis current density should be further increased to meet the demands of large‐scale industrial application in the future. Here, a novel anode configuration for SOEC is reported that achieves an ultra‐high current density of 5.73 A cm −2 for at least 4 h. To the best of the authors’ knowledge, such current density surpasses the record of present state‐of‐the‐art research. The unique stability under such high current density is attributed to the novel SOEC constructed with a La 0.6 Sr 0.4 CoO 3− δ anode catalyst nano‐layer to promote oxygen generation, vertically aligned micro channel anode scaffold to accelerate oxygen release, and integrated anode–electrolyte interface to improve the interfacial strength. The novel SOEC successfully demonstrates stable steam electrolysis under an ultra‐high current density of 5.96 A cm −2 at 800 °C under the constant operating voltage of 1.3 V, corresponding to a hydrogen production rate of 2.5 L h −1 cm −2 .
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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 | 0.001 |
| Open science | 0.001 | 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".