ESROP – NUS – Predicting Complete IV Curves for Perovskite Solar Cells with AI

Predicting Complete IV Curves for Perovskite Solar Cells with AI. Perovskite solar cells are a groundbreaking technology, offering high efficiency and low manufacturing costs, making them a promising candidate for the future of renewable energy. Their tunable properties and rapid development have captured significant interest in both academic and industrial sectors. This project focuses on developing an AI model that predicts entire current-voltage (IV) curves in a single step. Using large datasets, the model captures complex patterns in the data to provide fast and accurate predictions. This holistic approach aims to streamline solar cell analysis and accelerate design and optimisation processes.

Faculty Supervisor:

Arthur Chan

Student:

Partner:

National University of Singapore

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program: