Browsing School of Engineering and Materials Science by Author "Xu, X"
Now showing items 1-7 of 7
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Effects of alirocumab on types of myocardial infarction: insights from the ODYSSEY OUTCOMES trial
White, HD; Steg, PG; Szarek, M; Bhatt, DL; Bittner, VA; Diaz, R; Edelberg, JM; Erglis, A; Goodman, SG; Hanotin, C (2019-09-01) -
Elastin-like recombinamer-mediated hierarchical mineralization coatings on Zr-16Nb-xTi (x = 4,16 wt%) alloy surfaces improve biocompatibility.
Xue, R; Deng, X; Xu, X; Tian, Y; Hasan, A; Mata, A; Zhang, L; Liu, L (2023-08)The biocompatibility of biomedical materials is vital to their applicability and functionality. However, modifying surfaces for enhanced biocompatibility using traditional surface treatment techniques is challenging. We ... -
High thermal conductivity states and enhanced figure of merit in aligned polymer thermoelectric materials
Degousée, T; Untilova, V; Vijaykumar, V; Xu, X; Sun, Y; Palma, M; Brinkmann, M; Biniek, L; Fenwick, O (2021-01-01) -
High Tunability and Low Loss in Layered Perovskite Dielectrics through Intrinsic Elimination of Oxygen Vacancies
Zhang, H; Gidden, H; Saunders, TG; Liu, N; Aurallo-Peters, V; Xu, X; Palma, M; Reece, MJ; Abrahams, I; Yan, H (American Chemical Society (ACS), 2020-11)Dielectric materials with moderate dielectric permittivity, high tunability, and low loss are critical in modern communication technology. However, high tunability is often associated with high loss and high dielectric ... -
Multi elements substituted Aurivillius phase relaxor ferroelectrics using high entropy design concept
Zhang, M; Xu, X; Yue, Y; Palma, M; Reece, MJ; Yan, H (Elsevier BV, 2021-01)The concept of high entropy ceramics opens up the possibility to optimise the properties of relaxor ferroelectrics with Aurivilius phase structures. In this paper, two new multi-element substituted Aurivillius phase ceramics, ... -
Phase transformations in an Aurivillius layer structured ferroelectric designed using the high entropy concept
Zhang, M; Xu, X; Ahmed, S; Yue, Y; Palma, M; Svec, P; Gao, F; Abrahams, I; Reece, MJ; Yan, H (2022) -
Real-time prediction and adaptive adjustment of continuous casting based on deep learning
Lu, Z; Ren, N; Xu, X; Li, J; Panwisawas, C; Xia, M; Dong, H; Tsang, E; Li, J (Springer Nature, 2023-06-07)Digitalisation of metallurgical manufacturing, especially technological continuous casting using numerical models of heat and mass transfer and subsequent solidification has been developed to achieve high manufacturing ...