Machine learning-guided design of a supramolecular armor for stable and functional perovskite quantum dots
A machine learning-designed "supramolecular armor" imparts exceptional stability to perovskite quantum dots. A guanidinium crosslinker reinforces a β-cyclodextrin layer, creating a robust yet permeable interface that enables direct contact sensing in challenging aqueous environments.
Authors
- Sean Li (ORCID: https://orcid.org/0000-0003-4437-8817)
- Mingjun Wang (ORCID: https://orcid.org/0000-0003-0829-0359)
- Xiang He
- Chuan Xiong (ORCID: https://orcid.org/0000-0001-9164-4810)
Institutions
- Chongqing University (CN)
Publication Details
- Journal
- Chemical Communications
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5cc04384k
- Citations
- 1
- Primary Topic
- Perovskite Materials and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.73