This project introduces a groundbreaking approach to designing and improving materials used in batteries, with the potential to transform how we store renewable energy. The focus is on a specific type of battery called the iron–air redox flow battery (FAIR-RFB), which could offer an affordable and efficient solution for storing energy over long periods. To tackle the challenges in making this technology work, the project will combine chemistry, materials science, and computer modeling in three key areas:
(1) Designing better electrode structures:
We will explore how the thee-dimensional structure of battery electrodes affects how well the battery works. Using computer algorithms inspired by natural evolution, we simulate and predict the best shapes and structures. Then, we use a special technique (non-solvent induced phase separation) to create these complex 3D structures and use artificial intelligence to speed up the search for the best designs.
(2) Improving electrode surfaces:
We study how the surface of the electrode—its texture and chemical features—affects how efficiently it transports materials and how long it lasts. By adding carefully selected molecules to the surface, we aim to improve how the battery handles water, air, and iron. We also use advanced microscopy tools to zoom in and understand how these surfaces interact with the surrounding battery environment.
(3) Building a better battery system:
Bringing together the new structures and surfaces, we build a new type of battery that delivers more power with less energy loss. We also use advanced imaging tools, like neutron beams, to visualize what happens inside the battery while it runs. This will help us better understand and improve how the battery works in real-time.
The insights and methods developed in this project will help unlock better-performing, longer-lasting batteries—an essential step toward a more sustainable and renewable energy future.
