Machine learning-guided design of a supramolecular armor for stable and functional perovskite quantum dots

Abstract

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.