Month: May 2022

Project on integrative learning of quantum dots is funded by NSF

Our project on “Integrative Learning of Fluorescence Fluctuations in Perovskite Quantum Dots Using A Data Science Assisted Single-Particle Approach” has been funded by NSF. This is a collaboration between Dr. Jing Zhao (PI) from UConn Chemistry, Dr. Chen (Co-PI) from UConn Stat, and Dr. Ou Chen (Co-PI) from Brown Chemistry. Our long-term goal is to integrate materials science, single-particle spectroscopy, and modern data science approaches to develop and characterize QDs for desired applications.