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Record W4322489076 · doi:10.1088/1361-6528/acbf58

Thickness measurements of graphene oxide flakes using atomic force microscopy: results of an international interlaboratory comparison

2023· article· en· W4322489076 on OpenAlexaff
Tianjia Bu, Huifang Gao, Yaxuan Yao, Jianfeng Wang, Andrew J. Pollard, Elizabeth J. Legge, Charles A. Clifford, Alexandra Delvallée, S. Ducourtieux, M.A. Lawn, Bakir Babić, Victoria A. Coleman, Åsa Jämting, Shan Zou, Maohui Chen, Zygmunt J. Jakubek, Erica Iacob, Narin Chanthawong, Kittisun Mongkolsuttirat, Guanghong Zeng, Clara Muniz Almeida, Bo-Ching He, Lachlan Hyde, Lingling Ren

Bibliographic record

VenueNanotechnology · 2023
Typearticle
Languageen
FieldMaterials Science
TopicGraphene research and applications
Canadian institutionsNational Research Council Canada
FundersMinistry of Science and Technology of the People's Republic of ChinaEuropean CommissionEuropean Metrology Programme for Innovation and ResearchDepartment for Business, Energy and Industrial Strategy, UK Government
KeywordsMaterials scienceGrapheneAtomic force microscopyOxideMicroscopyKelvin probe force microscopeNanotechnologyConductive atomic force microscopyAnalytical Chemistry (journal)Composite materialOpticsMetallurgyChromatography

Abstract

fetched live from OpenAlex

Flake thickness is one of the defining properties of graphene-related 2D materials (GR2Ms), and therefore requires reliable, accurate, and reproducible measurements with well-understood uncertainties. This is needed regardless of the production method or manufacturer because it is important for all GR2M products to be globally comparable. An international interlaboratory comparison on thickness measurements of graphene oxide flakes using atomic force microscopy has been completed in technical working area 41 of versailles project on advanced materials and standards. Twelve laboratories participated in the comparison project, led by NIM, China, to improve the equivalence of thickness measurement for two-dimensional flakes. The measurement methods, uncertainty evaluation and a comparison of the results and analysis are reported in this manuscript. The data and results of this project will be directly used to support the development of an ISO standard.

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 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 score0.005
Threshold uncertainty score0.417

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 science0.0010.000
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 head0.061
GPT teacher head0.363
Teacher spread0.303 · 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

Citations15
Published2023
Admission routes1
Has abstractyes

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