A Dual-Carbide Heterostructure Interface-Driven Broad pH Range Hydrogen Fuel Production
Bibliographic record
Abstract
The development of efficient and cost-effective electrocatalysts for sustainable hydrogen production remains crucial for transitioning to a carbon-neutral energy economy. We present a dual-carbide heterostructure interface that demonstrates an exceptional hydrogen evolution reaction (HER) performance across a wide pH range. The catalyst achieves low overpotentials comparable to platinum benchmarks and maintains stability during extended operation in acidic, neutral, and alkaline electrolytes. The pH-universal performance arises from the optimized hydrogen adsorption and desorption energetics at the heterointerface, which induces synergistic effects that improve the overall reaction kinetics of the HER. Density functional theory calculations reveal that the incorporation of dual carbide heterostructure alters the electronic landscape with a favorable Δ G H* of ∼0.34 eV, which is closer to the thermoneutral value compared to the individual carbides. When tested in a saline-water electrolyzer, the catalyst delivers long-term consistent performance for 200 h without observable degradation. This work advances nonprecious metal HER catalysis by demonstrating how interface engineering can achieve performance comparable to noble metals, while offering superior stability and cost-effectiveness.
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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".