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Record W4406038976 · doi:10.1002/adfm.202422634

Atomic Cluster Outperforms Single Atom in Hydrogen Evolution and Hydrazine Oxidation for Energy‐Efficient Water Splitting

2025· article· en· W4406038976 on OpenAlexaff
Chunhua Liu, Shuwen Wu, Yang Yang, Jinshan Wei, Shujing Chen, Xiao‐Qing Sun, Shuiping Luo, Muhammad Bilal Hussain, Renfei Feng, Xian‐Zhu Fu, Shaoqing Liu, Jing‐Li Luo

Bibliographic record

VenueAdvanced Functional Materials · 2025
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsCanadian Light Source (Canada)University of Toronto
FundersShenzhen Science and Technology Innovation ProgramNational Natural Science Foundation of China
KeywordsBifunctionalRutheniumHydrazine (antidepressant)Water splittingCatalysisMaterials scienceHydrogenHydrogen productionDehydrogenationHydrogen fuelDesorptionDensity functional theoryHydrogen storageAdsorptionInorganic chemistryNanotechnologyPhysical chemistryChemistryComputational chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The hydrazine‐assisted water splitting (HzAWS) is promising for energy‐saving hydrogen production. However, developing efficient bifunctional catalysts that exert hydrogen evolution reaction (HER) and hydrazine oxidation reaction (HzOR) at industrial‐grade current densities remains challenging. Here, Ru C ‐NiCoP catalyst, ruthenium clusters (Ru C ) immobilized onto NiCoP, is developed to elucidate the superior performance of Ru C in enhancing bifunctional electrocatalytic activity over ruthenium single atoms (Ru SA ). The Ru C ‐NiCoP achieves current densities of 10 and 100 mA cm −2 for HER and HzOR with working potentials of −10 and −89 mV, respectively, outperforming Ru SA ‐NiCoP (−16 and −65 mV). During HzAWS, a cell voltage reduction of 1.77 V at 300 mA cm −2 is observed compared to overall water splitting. Density functional theory calculations reveal that Ru C improves the adsorption energy for H 2 O and N 2 H 4 , optimizes the H* intermediate desorption, and reduces the dehydrogenation barrier from *N 2 H 3 to *N 2 H 2 . Additionally, the direct hydrazine fuel cell with a Ru C ‐NiCoP anode delivers an impressive power density of 226 mW cm −2 and enables a self‐powered hydrogen production system, achieving an unprecedented hydrogen production rate of 4.9 mmol cm −2 h −1 . This work offers a new perspective on developing efficient sub‐nanoscale bifunctional electrocatalysts and advancing practical energy‐saving hydrogen production techniques.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.741

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.207
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2025
Admission routes1
Has abstractyes

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