MétaCan
Menu
Back to cohort
Record W4409139481 · doi:10.1002/ange.202504399

Bio‐Inspired Self‐Activating Polydimethylsiloxane‐Modified CrO<sub><i>x</i></sub>/Al<sub>2</sub>O<sub>3</sub> Catalyst for Acetylene Semihydrogenation

2025· article· en· W4409139481 on OpenAlexaff
Chenyang Shen, Yibo Wang, Jun Yao, Fengfeng Li, Feifei Mei, Zhewei Zhang, Huili Lu, Xuefeng Guo, Luming Peng, Nianhua Xue, Yan Zhu, Zhao‐Xu Chen, Weiping Ding

Bibliographic record

VenueAngewandte Chemie · 2025
Typearticle
Languageen
FieldChemistry
TopicChemical Synthesis and Reactions
Canadian institutionsMinistry of Education and Child Care
FundersChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsAcetylenePolydimethylsiloxaneCatalysisChemical engineeringChemistryMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Biomimetic approach is a nature‐driven strategy for designing functional materials to meet the industrial challenges. Here we demonstrate the bio‐inspired discovery of a self‐activating catalyst, with polydimethylsiloxane anchored over the surface of CrO x /Al 2 O 3 , exhibiting comparable performance with noble metallic catalysts for acetylene semihydrogenation. In addition, the dynamic movement of polymer chains with high flexibility renders the catalyst to impose proactive perturbation to the undesired coke precursors generated in reaction, analogous to the function of hair‐like cilia on the surface of respiratory epithelial cells, thus avoiding the site‐blocking induced by carbonaceous deposits and sustaining the catalyst stable for 1000 h without any deactivation. This study paves the way to develop other heterogeneous catalysts with high efficiency and durability via mimicking the innate defense mechanism of natural organisms.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.015
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.239
Teacher spread0.226 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAngewandte ChemieSame topicChemical Synthesis and ReactionsFrench-language works237,207