Machine Learning Assisted Electrolyte Optimization for Next Generation Rechargeable Lithium-ion Batteries
The purpose of this project was to develop a design of experiments (DOE) approach, coupled with machine learning (ML) algorithms, to streamline the screening and optimization of electrolytes in relation to other battery components, particularly anodes. This approach is expected to accelerate the development of game-changing and critical battery technologies.
Project at a Glance
Funding Recipient:
Nanode Battery Technologies Ltd.
Website:
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Funding Awarded:
$221,000
Project Duration:
Feb 7, 2022 – Sep 30, 2023
Sector:
Clean Technology, Energy, Environment
Program:
Energy Storage and Minerals