MétaCan
Menu
Back to cohort
Record W2510727709 · doi:10.1021/acsami.6b08554

Interfacial Effects on Nanoscale Wrinkling in Gold-Covered Polystyrene

2016· article· en· W2510727709 on OpenAlexaff
Craig T. Chapman, Jeffrey T. Paci, Won‐Kyu Lee, Clifford J. Engel, Teri W. Odom, George C. Schatz

Bibliographic record

VenueACS Applied Materials & Interfaces · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsUniversity of Victoria
FundersOffice of Naval ResearchInternational Institute for Nanotechnology, Northwestern UniversityNorthwestern University
KeywordsMaterials scienceNanoscopic scalePolystyreneNanometreModulusPolymerComposite materialWrinkleLayer (electronics)Deposition (geology)Surface forces apparatusSubstrate (aquarium)Thin filmMetalFinite element methodNanotechnologyMetallurgy

Abstract

fetched live from OpenAlex

Nanoscale wrinkling on the surfaces of polymer-based materials can be precisely controlled by depositing thin metal films of varying thicknesses. The deposition of these films fundamentally alters the mechanical properties of the substrates in ways that are not simply described using traditional continuum mechanical frameworks. In particular, we find, by modeling within a finite element analysis approach, that the very act of depositing a metal film may alter the Young's modulus of the polymer substrate to depths of up to a few hundred nanometers, creating a modified interfacial skin layer. We find that simulated wrinkle patterns reproduce the experimentally observed features only when the modulus of this surface layer varies by more than ∼500 nm and is described using a sigmoidal gradient multiplier.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.005
GPT teacher head0.200
Teacher spread0.194 · 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.

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

Citations18
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueACS Applied Materials & InterfacesSame topicAdvanced Materials and MechanicsFrench-language works237,207