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Record W4411069065 · doi:10.1002/anie.202506872

Probing the Heteroepitaxial Seeded Growth and Self‐Sorting Processes of Segmented Co‐Micelles with Chemically Distinct Crystalline Cores

2025· article· en· W4411069065 on OpenAlexafffund
Samuel Pearce, Harvey K. MacKenzie, Huda Shaikh, Zhonghuan Liu, Robert L. Harniman, Jean‐Charles Eloi, Sean A. Davis, Robert M. Richardson, Etienne A. LaPierre, Ian Manners, Yifan Zhang

Bibliographic record

VenueAngewandte Chemie International Edition · 2025
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsUniversity of Victoria
FundersNational Key Research and Development Program of ChinaNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaUniversity of BristolSichuan UniversityUniversity of Victoria
KeywordsSeedingMicelleMaterials scienceSortingChemical physicsChemical engineeringNanotechnologyChemistryComputer sciencePhysicsOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

The ability to produce uniform micellar nanoparticles with controlled dimension and spatially controlled functionality is a key challenge in nanoscience. Living crystallization-driven self-assembly (CDSA) of block copolymers (BCP) has emerged as an effective approach to generate uniform size-tunable core-shell micellar nanoparticles; however, most core-shell micelles generated via CDSA consist of a continuous crystalline core from BCPs with the same core-forming block. Herein, we perform insightful studies of heteroepitaxial CDSA process from chemical distinct core-forming poly(ferrocenyldimethylgermane) (PFDMG) and poly(ferrocenyldimethylsilane) (PFDMS) based BCPs to produce segmented block comicelles. The heteroepitaxial growth process produced micelles with kinetically trapped crystalline cores that are thermodynamically less stable than the materials formed via spontaneous nucleation. This was rationalized by determining the previously unknown core lattice of PFDMG micelles, self-assembly experiments, and theoretical lattice energy calculations, providing an insight into the energetic penalty associated with heteroepitaxial growth. These methods for determining the theoretical core lattice energies in these BCP systems could provide a way to screen BCP candidates that can undergo heteroepitaxial growth. Furthermore, by using our newfound understanding of these micelle systems, we achieved the formation of micelles with crystalline cores that undergo self-sorting, driven by self-seeding from fragmented triblock comicellar 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.

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 score0.022
Threshold uncertainty score0.442

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 head0.007
GPT teacher head0.232
Teacher spread0.225 · 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

Citations5
Published2025
Admission routes2
Has abstractyes

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