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Record W2334566132 · doi:10.1021/mz500520b

Light-Controlled Complex Deformation and Motion of Shape-Memory Polymers Using a Temperature Gradient

2014· article· en· W2334566132 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Macro Letters · 2014
Typearticle
Languageen
FieldMaterials Science
TopicPolymer composites and self-healing
Canadian institutionsUniversité de Sherbrooke
FundersFonds de recherche du Québec – Nature et technologiesChina Scholarship CouncilState Administration of Foreign Experts AffairsMinistry of Education of the People's Republic of ChinaNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsMaterials sciencePolymerTemperature gradientWork (physics)Shape-memory polymerRelaxation (psychology)Ethylene oxidePhotothermal therapyDeformation (meteorology)Surface plasmon resonanceAnisotropyComposite materialAbsorption (acoustics)NanoparticleNanotechnologyOpticsThermodynamics

Abstract

fetched live from OpenAlex

A unique property of photothermal effect-based shape-memory polymers (SMPs) is demonstrated using a chemically cross-linked poly(ethylene oxide) (PEO) loaded with a small amount (0.5 wt %) of gold nanoparticles (AuNPs). We show that controlled surface plasmon resonance absorption of AuNPs allows for the formation of a temperature gradient in the polymer of temporary shape, which results in anisotropic polymer chain relaxation and strain energy release. This photoinduced temperature gradient effect enables the use of a laser to create a multitude of deformations and to control sophisticated motion executing mechanical work that are otherwise inaccessible with SMPs.

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.

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 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 score0.089
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.221
Teacher spread0.211 · 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