Searched for: subject%3A%22steel%22
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Li, Jiayu (author), Xu, Yunbo (author), Jing, Yi (author), Gao, Yijing (author), Liu, Hongliang (author), Yu, Yongmei (author), Banis, Alexandros (author), Kestens, L.A.I. (author), Petrov, R.H. (author)
The phase transformations, microstructure and properties of two Medium-Mn processed via quenching and partitioning steels were compared in this contribution and a new strategy for controlling mechanical properties by introducing and controlling cold-worked ferrite prior to heat treatment is proposed. It was found that during heating, the...
journal article 2023
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Zhou, Enze (author), Li, Feng (author), Zhang, Dawei (author), Xu, Dake (author), Li, Zhong (author), Jia, Ru (author), Song, Hao (author), Gu, Tingyue (author), Homborg, A.M. (author), Mol, J.M.C. (author)
Shewanella oneidensis MR-1 is an attractive model microbe for elucidating the biofilm-metal interactions that contribute to the billions of dollars in corrosion damage to industrial applications each year. Multiple mechanisms for S. oneidensis-enhanced corrosion have been proposed, but none of these mechanisms have previously been rigorously...
journal article 2022
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Shen, Chunguang (author), Wang, Chenchong (author), Wei, Xiaolu (author), Li, Yong (author), van der Zwaag, S. (author), Xu, W. (author)
With the development of the materials genome philosophy and data mining methodologies, machine learning (ML) has been widely applied for discovering new materials in various systems including high-end steels with improved performance. Although recently, some attempts have been made to incorporate physical features in the ML process, its...
journal article 2019