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Record W4366607250 · doi:10.1016/j.mtcomm.2023.106007

Eco-friendly synthesis of graphene oxide–palladium nanohybrids

2023· article· en· W4366607250 on OpenAlexfundno aff
Dinorah I. Rodríguez-Otamendi, Monserrat Bizarro, Víctor Meza-Laguna, Edgar Álvarez‐Zauco, Petra Rudolf, Vladimir A. Basiuk, Elena V. Basiuk

Bibliographic record

VenueMaterials Today Communications · 2023
Typearticle
Languageen
FieldMaterials Science
TopicGraphene research and applications
Canadian institutionsnot available
FundersDivision of Materials ResearchUniversidad Nacional Autónoma de MéxicoDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoRijksuniversiteit GroningenCanadian Institute for Theoretical AstrophysicsBritish Interplanetary SocietyConsejo Nacional de Ciencia y TecnologíaNational Research Centre
KeywordsGrapheneMaterials sciencePalladiumOxideThermal stabilityChemical engineeringSurface modificationInorganic chemistryNanotechnologyOrganic chemistryCatalysisChemistryMetallurgy

Abstract

fetched live from OpenAlex

Nanostructured hybrids of graphene oxide and palladium were fabricated by means of one-step solvent-free gas phase treatment of graphene oxide with the aliphatic amines 1-octadecylamine and 1,8-diaminooctane, followed by in situ decoration with palladium in the liquid medium using palladium chloride as the precursor and citric acid as a mild and environmentally friendly stabilizing and reducing agent. The proposed synthesis method represents an eco-friendly alternative for obtaining nanohybrids of graphene oxide and palladium nanoparticles under mild conditions. Spectroscopic studies evidenced -COOH group derivatization of graphene due to the amidation reaction; transmission electron microscopy demonstrated the formation of nanometer-sized crystalline palladium particles and evidenced that the diamine-functionalization results in a larger particle sizes than observed for monoamine- or non-functionalized substrates. The hybrids obtained have a slightly lower thermal stability than pristine graphene oxide.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.031
GPT teacher head0.302
Teacher spread0.271 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

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