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Ji, Y. (author), Fu, Xiaoqian (author), Ding, Feng (author), Xu, Yongtao (author), He, Yang (author), Ao, Min (author), Xiao, Fulai (author), Chen, Dihao (author), Dey, P. (author), Qin, Wentao (author), Xiao, Kui (author), Ren, Jingli (author), Kong, Decheng (author), Li, Xiaogang (author), Dong, Chaofang (author)Efficiently designing lightweight alloys with combined high corrosion resistance and mechanical properties remains an enduring topic in materials engineering. Due to the inadequate accuracy of conventional stress-strain machine learning (ML) models caused by corrosion factors, a novel reinforcement self-learning ML algorithm combined with...journal article 2024
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Pei, Zibo (author), Zhang, D. (author), Zhi, Yuanjie (author), Yang, Tao (author), Jin, Lulu (author), Fu, Dongmei (author), Cheng, Xuequn (author), Terryn, H.A. (author), Mol, J.M.C. (author), Li, Xiaogang (author)The atmospheric corrosion of carbon steel was monitored by a Fe/Cu type galvanic corrosion sensor for 34 days. Using a random forest (RF)-based machine learning approach, the impacts of relative humidity, temperature and rainfall were identified to be higher than those of airborne particles, sulfur dioxide, nitrogen dioxide, carbon monoxide...journal article 2020