Deep learning prediction of electrode voltage for metal-ion batteries

A deep learning network model for predicting the average voltage of electrode materials for metal-ion batteries has been developed, achieving a mean absolute error (MAE) of 0.04 V, representing the highest accuracy for voltage prediction.