Intermittency of CsPbBr<sub>3</sub> Perovskite Quantum Dots Analyzed by an Unbiased Statistical Analysis
Isabelle M. Palstra, Ilse Maillette de Buy Wenniger, Biplab K. Patra, Erik C. Garnett, A. Femius Koenderink
Abstract
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.