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Record W3133927013 · doi:10.1002/smsc.202000027

Beyond Platinum: Defects Abundant CoP<sub>3</sub>/Ni<sub>2</sub>P Heterostructure for Hydrogen Evolution Electrocatalysis

2021· article· en· W3133927013 on OpenAlexafffund
Lijie Zhang, Linzhou Zhuang, Hongli Liu, Longzhou Zhang, Rongsheng Cai, Ning Chen, Xianfeng Yang, Zhonghua Zhu, Dongjiang Yang, Xiangdong Yao

Bibliographic record

VenueSmall Science · 2021
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsCanadian Light Source (Canada)
FundersQingdao UniversityChina Postdoctoral Science FoundationNational Natural Science Foundation of ChinaCanadian Light Source
KeywordsOverpotentialElectrocatalystHeterojunctionElectrolysis of waterWater splittingDissociation (chemistry)ElectrolysisPlatinumHydrogen productionHydrogenMaterials scienceAlkaline water electrolysisChemical engineeringCatalysisChemistryNanotechnologyPhysical chemistryElectrochemistryOptoelectronicsElectrodePhotocatalysis

Abstract

fetched live from OpenAlex

Water electrolysis is a promising option for pure hydrogen production, but it is limited by the high cost. Developing superb and low‐cost electrocatalysts for hydrogen evolution reaction (HER) is critical for cost reduction. Heterostructures are demonstrated with excellent HER activities, but still inferior to commercial Pt/C. Herein, vacancy type of defects is engineered into the interface of CoP3/Ni2P heterostructure by a plasma strategy. The as‐synthesized defective CoP3/Ni2P exhibits lower overpotentials than Pt/C. Its specific activity at overpotential of 50 mV is ≈2‐fold and 1.7‐fold higher than that of Pt/C in acidic and alkaline media, respectively. For water electrocatalysis, its current density reaches 215 mA cm−2 at 2.0 V, even satisfying the target of practical industrial water splitting. Theoretical calculations indicate that the interfacial defects reconstruct the electronic structure and accelerate the charge transfer, facilitating the adsorption of reactant and lowering the energy barrier of water dissociation, thereby improving HER activities.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.007
GPT teacher head0.204
Teacher spread0.197 · 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 source (direct Gemma or distilled Codex), 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

Citations52
Published2021
Admission routes2
Has abstractyes

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