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Record W2780998313 · doi:10.1021/acsmacrolett.7b00935

Tetrahedral, Octahedral, and Triangular Dipyramidal Microgel Clusters with Thermosensitivity Fabricated from Binary Colloidal Crystals Template and Thiol–Ene Reaction

2017· article· en· W2780998313 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.

Bibliographic record

VenueACS Macro Letters · 2017
Typearticle
Languageen
FieldMaterials Science
TopicPickering emulsions and particle stabilization
Canadian institutionsUniversité de Montréal
FundersNatural Science Foundation of Tianjin CityNational Natural Science Foundation of China
KeywordsOctahedronMaterials scienceColloidal crystalTetrahedronColloidNanocrystalSelf-assemblyCrystal structureCrystallographyNanotechnologyChemical engineeringChemistry

Abstract

fetched live from OpenAlex

A template-based strategy to fabricate soft colloidal clusters with distinct symmetries of tetrahedra, octahedra, and triangular dipyramid is described. We use binary microgel colloidal crystals as a template, in which the large microgels with surface thiol groups are arranged into a close-packed lattice and a few small microgels with surface vinyl groups occupy the tetrahedral or octahedral interstitial sites, and then immobilize the structure via in situ thiol–ene reaction under UV irradiation. Both 2D cross sections and reconstructed 3D morphology of these clusters are clearly characterized by confocal laser scanning microscopy. The formation mechanism of microgel clusters is discussed, which is closely related to the microgel soft properties, size ratio, and colloidal crystal packing structure. The resulting clusters inherit the thermosensitivity and defects tolerance of poly( N -isopropylacrylamide) (PNIPAM) microgel, which would facilitate their self-assembly into more complex structures.

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 score0.323
Threshold uncertainty score0.735

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.238
Teacher spread0.224 · 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