Engineering Commons^™

Exploration Of The Stability Of Multicomponent Metal Halide Perovskites Utilizing Automated, High-Throughput Methods And Machine Learning, Katherine N. Higgins

Doctoral Dissertations

Because of their outstanding optoelectronic properties and low-cost, solution-based fabrication, metal halide perovskites (MHP) are appealing candidates for a variety of applications, such as photovoltaics, light-emitting diodes, photodetectors, and ionizing radiation detectors. However, concerns of this material’s stability in pure or device-integrated form under external stimuli, such as light, humidity, oxygen, and heat, have prohibited the widespread utilizations of MHPs. It is well established that alloying can lessen detrimental effects of these factors. To date, a small portion of alloyed compositions have been investigated compared to the thousands of possible perovskites proposed theoretically. Conventional approaches to materials discovery and optimization, …