 The proposed LSTM menural network is able to accurately predict the stress-strain responses of metallic coating materials from indentation measurements. This deep learning approach is significantly faster and more efficient than traditional finite element analysis, making it suitable for practical applications. This article was authored by Su Long, Xiaoyiding, Jiao Li and others.