Random forest incorporating ab-initio calculations for corrosion rate prediction with small sample Al alloys data - Ji, Yucheng; Li, Ni; Cheng, Zhanming; Fu, Xiaoqian; Ao, Min; Li, Menglin; Sun, Xiaoguang; Chowwanonthapunya, Thee; Zhang, Dawei; Xiao, Kui; Ren, Jingli; Dey, Poulumi; et al. (Npj Materials degradation, 2022)
Keywords: 639/301/1023/1026; 639/301/1034/1037; 639/705; Accuracy; Aluminum base alloys; Big Data; Chemistry and Materials Science; Corrosion; Corrosion and Coatings; Corrosion rate; Datasets; Electrochemistry; Engineering; Experiments; Intermetallic compounds; Machine learning; Materials Science; Materials selection; Prediction models; Sensors; Structural Materials; Tribology; Work functions