Intermittency of CsPbBr3 Perovskite Quantum Dots Analyzed by an Unbiased Statistical Analysis

We analyze intermittency in intensity and fluorescence lifetime of CsPbBr3 perovskite quantum dots by applying unbiased Bayesian inference analysis methods. We apply change-point analysis (CPA) and a Bayesian state clustering algorithm to determine the timing of switching events and the number of states between which switching occurs in a statistically unbiased manner, which we have benchmarked particularly to apply to highly multistate emitters. We conclude that perovskite quantum dots display a plethora of gray states in which brightness, broadly speaking, correlates inversely with decay rate, confirming the multiple recombination centers model. We leverage the CPA partitioning analysis to examine aging and memory effects. We find that dots tend to return to the bright state before jumping to a dim state and that when choosing a dim state, they tend to explore the entire set of states available.

Automated summary

In this study, unbiased Bayesian inference analysis methods were used to analyze intermittency in intensity and fluorescence lifetime of CsPbBr3 perovskite quantum dots. It was found that the quantum dots display a variety of gray states where brightness correlates inversely with decay rate, confirming the multiple recombination centers model. The research also revealed a pattern in the switching behavior of the dots, with a tendency to return to the bright state before transitioning to a dim state and exploring the entire set of states available when choosing a dim state.