This three-year, $220,000 project grant from the National Science Foundation Division of Chemistry's Mathematical and Physical Sciences program will support collaborative research between Brown University, the University of Connecticut, and their researchers. The grant aims to advance understanding of perovskite quantum dot fluorescence fluctuations through an integrative learning approach combining advanced microscopy techniques and data science methods. Specifically, Professors Jing Zhao and Kun Chen of the University of Connecticut and Professor Ou Chen of Brown University will measure and statistically analyze fluorescence signals from a large number of individual perovskite quantum dots with varying compositions. By examining quantum dots with different cation and anion sites as well as lattice distortions using optical microscopy, and applying rigorous statistical analysis, the researchers seek to gain deeper insight into the photophysical mechanisms governing blinking behavior. Outreach activities will integrate the research methods and findings. Awarded September 1, 2022 for $220k over three years, this project aligns with the NSF's mission to strengthen the nation's scientific enterprise through advancing mathematical and physical sciences knowledge.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $220.0k | 5/5/22 |