0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessOwing to the outstanding photophysical properties, organic luminescent materials featuring aggregation-induced emission (AIE) characteristics have attracted wide attention in various fields. Numerous researches focused on low-mass AIE luminogens, and relatively less attention has been paid on AIE polymers and the related applications, in spite of the fact that AIE polymers exhibit excellent advantages of processability, multifunctional integration and synergistic effects. In this review, we briefly summarize and discuss the superiorities of AIE polymers in preparation, properties and bio-applications, and the considerable progress in these aspects are introduced as well. Finally, the structure-property relationship, challenges and opportunities are also discussed. Hopefully, this review will be a trigger for smart AIE polymer research and further broaden their applications.
Guiquan Zhang, Xinyao Fu, Daming Zhou, Rong Hu, Anjun Qin, Ben Zhong Tang (2023). Smart aggregation‐induced emission polymers: Preparation, properties and bio‐applications. , 1(1), DOI: https://doi.org/10.1002/smo.20220008.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2023
Authors
6
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1002/smo.20220008
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access