Emilio Alexis De La Cruz Nunez Andrade

Resource-efficient machine learning pathways for molecular discovery in organic photovoltaics

This thesis presents a data−driven approach to accelerate the discovery and design of materials for organic photovoltaic devices, while reducing the usage of computational resources. The core of this work was the development of machine learning models for property prediction of organic photovoltaics and to implement a...