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Record W4410120885 · doi:10.1021/acs.accounts.5c00145

Three-Dimensional Polymer Micelles Formed by Crystallization-Driven Self-Assembly

2025· article· en· W4410120885 on OpenAlexafffund
Jingjie Jiang, Mitchell A. Winnik

Bibliographic record

VenueAccounts of Chemical Research · 2025
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicelleCrystallizationPolymerCrystallization of polymersSelf-assemblyChemical engineeringMaterials scienceChemistryNanotechnologyPolymer scienceOrganic chemistryAqueous solutionEngineering

Abstract

fetched live from OpenAlex

on living crystallization-driven self-assembly (CDSA) of amphiphilic block copolymers featuring a crystalline core-forming block. This study focused on polyferrocenylsilane block copolymers (PFS BCPs). Living CDSA operates similarly to living polymerization, enabling the precise fabrication of micelles with predictable shapes and dimensions. The crystalline nature of the core-forming block promotes the formation of structures with low interfacial curvature, such as cylinders and platelets, which are rarely formed in traditional self-assembly techniques based on microphase separation.Over the past two decades, we have pioneered a range of strategies to create one-dimensional (1D), 2D, 3D, and hierarchical uniform PFS BCP structures via CDSA. This method has also been extended to other semicrystalline polymer systems to produce regular and uniform assemblies. While 1D and 2D micelles have been extensively studied, the fabrication of 3D structures remains relatively rare. Nature, however, possesses exquisite 3D structures. Although CDSA has generated some 3D structures, it has not yet achieved the complexity found in nature. Researchers continue to push boundaries toward creating more intricate 3D structures.In this Account, we summarize our research advancements on 3D structure fabrication via CDSA. The free energy of the system, influenced by various factors, ultimately determines micellar morphology and growth behavior. Our work has led to the formation of branched structures through multistep seeded growth processes, incorporating PFS homopolymers (HP) with PFS BCP, manipulating the cooling rate, adjusting the corona block composition, controlling polymer dispersity, and varying solvents. Further innovations involved the use of organic sacrificial templates to produce hollow fiber-basket polymersomes and the application of inorganic substrates for surface micelle growth, yielding organic-inorganic hybrid materials with tailored functionalities. A significant breakthrough was the development of protocols for generating uniform polymeric spherulites and their precursors in solution. Although spherulites are common in bulk polymer materials and materials found in fields such as geology and biology, they have not been observed from block polymers in solution. We uncovered a novel CDSA mechanism in which defects in lamellar precursors act as a critical driver for constructing 3D architectures. To achieve intricate, bioinspired, and uniform 3D structures, further efforts will focus on enhancing structural control and integrating multifunctional properties.

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 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 score0.006
Threshold uncertainty score0.699

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)0.0010.000

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 head0.017
GPT teacher head0.314
Teacher spread0.297 · 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

Citations8
Published2025
Admission routes2
Has abstractyes

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