D3BATT: Data-Driven Design of Li-ion Batteries
Our objective is to develop a novel multiscale-modeling framework for rechargeable batteries to accelerate materials discovery and design, guided by machine learning on large databases of experimental/simulated images/videos at matching length and time scales, electrochemical characterization, and atomistic calculations of material properties. 
Research Overview>


To learn more about the TRI Accelerated Materials Design and Discovery (AMDD) program, visit their website!