ESROP – NUS – PIML for reconstructing IV curves of PSC

Perovskite solar cells stand out due to their rapid advancements and high efficiency, combined with the promise of cost-effective production. These attributes have placed them at the forefront of next-generation renewable energy solutions. This project integrates physics-based principles into AI models to reconstruct IV curves, reducing reliance on extensive input parameters. By incorporating optoelectronic governing equations, the model enhances interpretability and prediction accuracy. Large datasets are used to balance data-driven insights with domain-specific knowledge, providing a robust tool for solar cell optimisation.

Faculty Supervisor:

Arthur Chan

Student:

Partner:

National University of Singapore

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program: