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Record W2605900727 · doi:10.1002/app.45166

Mechanics of surface crosslinked poly(dimethyl siloxane) microstructure used for microcontact transfer printing

2017· article· en· W2605900727 on OpenAlexaff
Chao Bao, Zhifan Wang, Yu Liu, Yanning Zhang, Heng‐Yong Nie, Woon‐Ming Lau, Jun Mei

Bibliographic record

VenueJournal of Applied Polymer Science · 2017
Typearticle
Languageen
FieldEngineering
TopicNanofabrication and Lithography Techniques
Canadian institutionsWestern University
FundersChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsTransfer printingMaterials scienceMicrocontact printingElastomerMicrostructureComposite materialNanotechnology

Abstract

fetched live from OpenAlex

ABSTRACT In microcontact transfer printing, the mechanics of the microstructure on an elastomeric stamp are crucial for obtaining a printed image with high feature resolution and repeatability. In this article, we are dedicating research efforts to visit a methodology for surface crosslinking a poly(dimethyl siloxane) microstructure, implemented by a hyperthermal hydrogen‐induced crosslinking technique. The significant enhancement of Young's modulus of elastomeric base after the surface crosslinking is confirmed by consequent ab initio calculation and numerical simulation. Experiments based on compression test and forced lateral scanning have been done for verifying the enhanced mechanic stability. This work provides a surface treatment way for fabricating a printing stamp with high robustness and transfer printing quality. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017 , 134 , 45166.

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 score0.032
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.011
GPT teacher head0.259
Teacher spread0.248 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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