Machine Learning the Energy Storage Materials.

Data driven machine learning approaches have been increasingly adopted in
the materials science community as an efficient alternative to density functional
theory calculations to predict the properties of materials. In this work, we show
how machine learning can be applied to energy storage materials.
In addition, we compare the performance of different machine learning approaches
for predicting the future energy storage materials.