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Record W2621367550 · doi:10.1002/9781119123279.ch2

Photochromism in the Solid State

2017· other· en· W2621367550 on OpenAlexaff
Oleksandr S. Bushuyev, Christopher J. Barrett

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMaterials Science
TopicPhotochromic and Fluorescence Chemistry
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhotochromismAzobenzeneChromophoreAmorphous solidPolymerMaterials scienceMoleculePhotochemistryChemical physicsElastomerAbsorption (acoustics)Molecular switchNanotechnologyChemical engineeringChemistryComposite materialCrystallographyOrganic chemistry

Abstract

fetched live from OpenAlex

Photochromismis a reversible transformation of two chemical species between two energetic states caused by absorption of visible light or, in a broad sense, any electromagnetic radiation. This chapter focuses on the reversible transformation of photochromic molecules in the solid state where they are supported by a surface or incorporated into an amorphous polymer host matrix, liquid-crystalline polymer network (LCN), or liquid crystal elastomer (LCE) or grown as single crystals. It then describes molecular and macroscopic motion of azobenzene chromophores. The chapter discusses molecular machines as surface-organized photochromic molecules performing work in the environment (matrix). It covers photochromes in scaled-up freestanding bulk materials such as polymer films and crystals. The chapter provides a survey summary of some of the manifestations of the photomechanical effect leading to macroscale actuation with azobenzene and other photoswitches. Perhaps, photomechanical effects in organic materials were first noted for the azobenzene chromophore.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0130.001

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 head0.015
GPT teacher head0.282
Teacher spread0.267 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations9
Published2017
Admission routes1
Has abstractyes

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