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Dong, Fuqiang (author), Wang, Jincheng (author), Yu, Xin (author), Jiang, Mengmeng (author), Guo, Yongjia (author), Wang, Shiyu (author), Zu, Yuanzhe (author), Ren, S. (author)
In this study, the environmentally friendly rejuvenators with waste thermal conductive oil, polymer, and the interfacial reinforcing agent were prepared. And the influence of the different rejuvenators on the rejuvenation mechanisms of aged SBS modified asphalt was characterized by different scales including the molecule structure, morphology...
journal article 2023
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Dai, Jiaxin (author), Fu, Dongmei (author), Song, Guangxuan (author), Ma, Lingwei (author), Guo, Xin (author), Mol, J.M.C. (author), Cole, Ivan (author), Zhang, Dawei (author)
Current experimental verification, computational modeling, and machine learning methods for predicting corrosion inhibition efficiency (IE) are limited to specific inhibitor categories with high cost and poor generalization. In this study, a cross-category corrosion inhibitor dataset is constructed and a three-level direct message passing...
journal article 2022