Evidence map›Paper›PMID 41253850›Full record

ArticleNature communications2025

Inverse design of structural colours in polymeric films with crystallization-induced reversible thermochromism.

Dong Yang, Heyi Liang, Chengjie Zhang, Peipei Shao, Qin Li, Yun Huang, Yi Dan, Cheng Zeng, Rui-Tao Wen, Long Jiang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. 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

11 authors.

Dong YangCollege of Polymer Science and Engineering, Polymer Research Institute, State Key Laboratory of Advanced Polymer Materials, Sichuan University, Chengdu, China.
Heyi LiangPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois, USA. heyi@uchicago.edu.
Chengjie ZhangCollege of Polymer Science and Engineering, Polymer Research Institute, State Key Laboratory of Advanced Polymer Materials, Sichuan University, Chengdu, China.
Peipei ShaoDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Qin LiCollege of Polymer Science and Engineering, Polymer Research Institute, State Key Laboratory of Advanced Polymer Materials, Sichuan University, Chengdu, China.
Yun HuangCollege of Polymer Science and Engineering, Polymer Research Institute, State Key Laboratory of Advanced Polymer Materials, Sichuan University, Chengdu, China.
Yi DanCollege of Polymer Science and Engineering, Polymer Research Institute, State Key Laboratory of Advanced Polymer Materials, Sichuan University, Chengdu, China.
Cheng ZengKey Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China.ORCID http://orcid.org/0000-0002-3138-441X
Rui-Tao WenDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID http://orcid.org/0000-0002-3153-1539
Long JiangCollege of Polymer Science and Engineering, Polymer Research Institute, State Key Laboratory of Advanced Polymer Materials, Sichuan University, Chengdu, China. jianglong@scu.edu.cn.ORCID http://orcid.org/0000-0002-4275-3815
Ming XiaoCollege of Polymer Science and Engineering, Polymer Research Institute, State Key Laboratory of Advanced Polymer Materials, Sichuan University, Chengdu, China. mingxiao@scu.edu.cn.ORCID http://orcid.org/0000-0003-2354-2059

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52203273
6 · The paper itself

Abstract

Precisely controlling structural colours in polymeric materials remains a major challenge, with current approaches often relying on trial-and-error synthesis. Here, we develop a colour design model, enabling inverse design of structural colours in bottlebrush block copolymers (BBCPs). The model can quantitatively link BBCP molecular structures to macroscopic colours through the integration of a strong segregation self-consistent field theory model with a multilayer optical framework. We first validate its predictive capability by synthesising and assembling BBCPs with varied chain architectures to produce a full colour spectrum, and then demonstrate its generalisability to other BBCP chemistries. In addition, we observe reversible, nonlinear thermochromism in systems combining a crystalisable block with a soft, low-glass transition temperature segment, while similar BBCPs lacking this pairing show no such response. Our work establishes a predictive platform for designing structurally coloured, thermoresponsive polymeric materials and advances the rational engineering of photonic soft matter.

Identifiers

PMID41253850
PMCPMC12627590

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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.