MétaCan
Menu
Back to cohort
Record W4396975607 · doi:10.1002/anie.202405017

Creating High‐entropy Single Atoms on Transition Disulfides through Substrate‐induced Redox Dynamics for Efficient Electrocatalytic Hydrogen Evolution

2024· article· en· W4396975607 on OpenAlexafffund
Zhaoyan Luo, Yirun Guo, Changjie He, Yi Guan, Lei Zhang, Yongliang Li, Q. Zhang, Chuanxin He, Xueliang Sun, Xiangzhong Ren

Bibliographic record

VenueAngewandte Chemie International Edition · 2024
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsWestern University
FundersBasic and Applied Basic Research Foundation of Guangdong ProvinceShenzhen UniversityNational Natural Science Foundation of ChinaCanadian Light Source
KeywordsRedoxChemical physicsHydrogenSubstrate (aquarium)Molecular dynamicsEntropy (arrow of time)ChemistryNanotechnologyMaterials scienceComputational chemistryInorganic chemistryPhysicsThermodynamicsBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The controllable anchoring of multiple metal single‐atoms (SAs) into a single support exhibits scientific and technological opportunities, while marrying the concentration‐complex multimetallic SAs and high‐entropy SAs (HESAs) into one SAC system remains a substantial challenge. Here, we present a substrate‐mediated SAs formation strategy to successfully fabricate a library of multimetallic SAs and HESAs on MoS 2 and MoSe 2 supports, which can precisely control the doping location of SAs. Specially, the contents of SAs can continuously increase until the accessible Mo atoms on TMDs carriers are completely replaced by SAs, thus allowing the of much higher metal contents. In‐depth mechanistic study shows that the well‐controlled synthesis of multimetallic SAs and HESAs is realized by controlling the reversible redox reaction occurred on the TMDs/TM ion interface. As a proof‐of‐concept application, a variety of SAs‐TMDs were applied to hydrogen evolution reaction. The optimized HESAs‐TMDs (Pt,Ru,Rh,Pd,Re‐MoSe 2 ) delivers a much higher activity and durability than state of‐the‐art Pt. Thus, our work will broaden the family of single‐atom catalysts and provide a new guideline for the rational design of high‐performance single‐atom catalysts.

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 categoriesMeta-epidemiology (narrow)
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 score0.170
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.011
GPT teacher head0.241
Teacher spread0.230 · 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.

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

Citations47
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueAngewandte Chemie International EditionSame topicElectrocatalysts for Energy ConversionFrench-language works237,207