Evidence map›Paper›PMID 42477905›Full record

ReviewMacromolecular rapid communications2026

Polymer Platelets via Crystallization-Driven Self-Assembly of Block Copolymers: Precision Growth, Structural Complexity and Emerging Functions.

Zhiqiang Gao, Xianming Zhang, Zaizai Tong

Abstract readReview
In one paragraph

Review in Macromolecular rapid communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zhiqiang GaoState Key Laboratory of Bio-based Fiber Materials, Zhejiang Sci-Tech University, Hangzhou, China.
Xianming ZhangState Key Laboratory of Bio-based Fiber Materials, Zhejiang Sci-Tech University, Hangzhou, China.ORCID https://orcid.org/0000-0002-4653-2630
Zaizai TongState Key Laboratory of Bio-based Fiber Materials, Zhejiang Sci-Tech University, Hangzhou, China.ORCID https://orcid.org/0000-0001-7115-0442

Funding

Foundation of Zhejiang Sci-Tech University Shengzhou Innovat SYY2024C000006National Natural Science Foundation of China 22273087Textile Vision Basic Research Program of China National Textile and Apparel Council J202501
6 · The paper itself

Abstract

Crystallization-driven self-assembly (CDSA) provides a versatile route to low-curvature polymer nanostructures with controlled dimensions and hierarchical organization. 2D platelets represent a particularly important class of CDSA assemblies, combining ordered crystalline cores, accessible surfaces, and chemically programmable coronas. These features make them well-suited for precision structural engineering and functional integration. In this Review, recent advances in the preparation and application of 2D platelets are discussed. We summarize strategies for preparing uniform 2D platelets with controlled dimensions, discuss the key factors governing heteroepitaxial crystallization, and highlight flat-on epitaxial growth as a route to structurally complex 2D platelet architectures. This review also examines emerging strategies for constructing 2D hollow platelets through selective disassembly. Finally, it highlights the applications of 2D platelets in catalysis, biomedicine, optical encoding and energy transport, and provides an outlook on remaining challenges in mechanistic understanding, scalable synthesis and functional transformation. These advances establish 2D platelets as programmable crystalline soft-matter platforms for next-generation functional nanomaterials.

Indexed as

NanostructuresPolymersCatalysisCrystallizationPolymersblock copolymerscrystallization‐driven self‐assemblyepitaxial crystallizationpolymer platelets

Identifiers

PMID42477905
PMCPMC13542753

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.