Project title:
LiRichFCC: a new class of powerful materials for electrochemical energy storage: Lithium-rich oxyfluorides with cubic dense packing
Project description:
To (1) develop and employ a method that integrates machine learning, genetic algorithm and DFT to identify the most promising Li-rich FCC material and (2) conduct an analysis to understand the ionic and electronic transport within Li-rich FCC materials. The work involves a close collaboration with experimental and theoretical groups in Europe.
jchang@dtu.dk