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Record W1995644308 · doi:10.1039/c5cc01411e

Commercialization of graphene-based technologies: a critical insight

2015· article· en· W1995644308 on OpenAlexfundno aff
Rosaria Ciriminna, Nan Zhang, Min‐Quan Yang, Francesco Meneguzzo, Yi‐Jun Xu, Mario Pagliaro

Bibliographic record

VenueChemical Communications · 2015
Typearticle
Languageen
FieldMaterials Science
TopicGraphene research and applications
Canadian institutionsnot available
FundersUniversity of TorontoNational Natural Science Foundation of China
KeywordsCommercializationGrapheneNanotechnologyNanochemistryMaterials scienceEnablingGraphiteElectricityFuel cellsBusinessChemical engineeringEngineering

Abstract

fetched live from OpenAlex

Carbon in its single layer atomic morphology has exceptional thermal, optical, electronic and mechanical properties, which may form the basis for several functional products and enhanced technologies that go from electricity storage to polymer nanocomposites of so far unsurpassed characteristics. Due to the high cost, however, the current global production of graphene does not exceed 120 tonnes. New chemical and physical methods to exfoliate graphite, however, were recently engineered and commercialized, which open the route to massive adoption of graphene as the "enabler" of numerous important technologies, including enhanced electricity storage. This feature article presents an updated, critical overview that will be useful to nanochemistry and nanotechnology research practitioners and to entrepreneurs in advanced materials.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.248
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.114
GPT teacher head0.370
Teacher spread0.256 · 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.

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

Citations80
Published2015
Admission routes1
Has abstractyes

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