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Record W3157095447 · doi:10.21203/rs.3.rs-131562/v1

One-Step Direct Oxidation of Alkoxy to Ketone for Evaporable Fullerene-Fused Ketone as Efficient Electron-Transport Materials

2021· preprint· en· W3157095447 on OpenAlexaff
Hao‐Sheng Lin, Yue Ma, Rong Xiang, Sergei Manzhos, Il Cheol Jeon, Shigeo Maruyama, Yutaka Matsuo

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldChemistry
TopicFullerene Chemistry and Applications
Canadian institutionsInstitut National de la Recherche Scientifique
FundersJapan Science and Technology AgencyJapan Society for the Promotion of Science
KeywordsKetoneAlkoxy groupFullereneChemistryElectron transport chainOrganic chemistryMaterials scienceAlkylBiochemistry

Abstract

fetched live from OpenAlex

Abstract Ketones, one of widely applied moieties in designing electrical and medical materials, commonly converted from the alcohols through the oxidation reactions. However, when alcohols are protected/functionalized, the direct oxidation strategies are substantially curbed. Here we show a highly efficient copper bromide promoted one-step direct oxidation of alkoxy to ketone with the aid of a fullerene pendant. Mechanistic studies unveil that fullerene can serve as an electron poor proceeding the one-step oxidation of alkoxy group to ketone. In the absence of fullerene pendant, the unreachable activation energy threshold hampers the direct oxidation of alkoxy group. In the presence of fullerene pendant, copper bromide oxidized fullerene radical cation can activate neighboring C–H bond of alkoxy moieties, allowing a favorable energy barrier for initiating the direct oxidation of alkoxy group. Produced fullerene-fused ketone indicates high thermal stability, affording the pin-hole free and amorphous electron-transport layer with high electron-transport mobility.

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 score0.004

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 head0.054
GPT teacher head0.377
Teacher spread0.323 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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