A neural network based approach to predict high-voltage Li-ion battery cathode materials
A neural network based approach to predict high-voltage Li-ion battery cathode materials.This paper introduces the concept of using Artificial Neural Network (ANN)techniques for predicting electrochemical potential of cathode materials in combination with first-principles based quantum mechanical calculations. The proposed method can be used to predict the Lithium ion battery voltage if a new material is chosen as cathode.