FURI | Summer 2025

Accelerated Perovskite Multi-objective Optimization Using Artificial Intelligence and UV-Vis Spectra

This project focuses on optimizing inorganic halide perovskite materials for solar cells to enhance their efficiency and durability. Given the vast number of possible material combinations and processing parameters to create the films, identifying optimal formulations through traditional experimentation is time-consuming. This research leverages large language models to use as a guide through generating a database of absorption spectra to accelerate the discovery and development of high-performance and stable perovskite compositions. The approach aims to advance next-generation solar cell technology and demonstrate the broad applicability of artificial intelligence tools in process development.