Designing Nanoporous Non-noble High Entropy Alloys as Efficient Catalysts for the Hydrogen Evolution Reaction
Bibliographic record
Abstract
Hydrogen represents a promising clean energy; however, the application of hydrogen energy is limited by the prohibitively expensive commercial Pt/C catalyst for the hydrogen evolution reaction (HER). In this work, we designed non-noble high entropy alloy (HEA) catalysts of FeCoNiCuMo with diversified active centers, which have an excellent catalytic performance for HER. Density functional theory calculations indicate that Fe, Co, and Ni sites with strong adsorption of H* could facilitate water splitting, while Cu and Mo sites with weak adsorption of H* could promote the formation of H 2 . As a proof of concept, we synthesized nanoporous (NP) FeCoNiCuMo by ball milling and dealloying to further increase the designed active centers, resulting in an onset potential of 0 V vs reversible hydrogen electrode (RHE) and overpotential of 68 mV at −10 mA cm –2, which are even comparable to that of the Pt/C catalyst. Our work highlights the great potential of NP non-noble HEA catalysts for HER and accelerates the industrial application of hydrogen energy.
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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) | 0.000 | 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".