Researchers have conducted a study to understand dendritic growth mechanisms in batteries.A combined machine learning approach, along with computational methods, was used in the study.Two computer models, CNN-1 and CNN-2, were developed for dendrite growth prediction.The CNN-2 model, which integrates physical parameters, showed higher accuracy and sensitivity.