Uploaded March 2021 | Updated September 2026, 2 weeks ago
Part of the Best Data Science Student Course Projects: Finalist Competition
Spring 2021
Perovskite Stability Prediction
In recent years, countless researchers have explored a wide range of promising technical solutions and policy options to lower the environmental cost of energy produced from the sun, wind, biomass, and geothermal resources. Among all the research areas, the discovery and deployment of novel materials are critical to scaling any sustainable energy endeavor, such as converting sunlight to energy or making batteries to store such energy. Built on the success of previous research, our project, Perovskite Stability Prediction, aims to use data and machine learning techniques to better identify suitable perovskite materials for sustainable energy applications.
Team Members: Caroline Rutherford; William Yu; Yiming Huang; Jiaying Chen; Seung-Jae Bang; Weixi Yao
Part of the Best Data Science Student Course Projects: Finalist Competition
Spring 2021
Perovskite Stability Prediction
In recent years, countless researchers have explored a wide range of promising technical solutions and policy options to lower the environmental cost of energy produced from the sun, wind, biomass, and geothermal resources. Among all the research areas, the discovery and deployment of novel materials are critical to scaling any sustainable energy endeavor, such as converting sunlight to energy or making batteries to store such energy. Built on the success of previous research, our project, Perovskite Stability Prediction, aims to use data and machine learning techniques to better identify suitable perovskite materials for sustainable energy applications.
Team Members: Caroline Rutherford; William Yu; Yiming Huang; Jiaying Chen; Seung-Jae Bang; Weixi Yao
