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Results 1-10 of 11 (Search time: 0.004 seconds).
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Issue DateTitleAuthor(s)
16-Dec-2020High-throughput computational screening of Li-containing fluorides for battery cathode coatingsLiu, B; Wang, D; Avdeev, M; Shi, S; Yang, J; Zhang, WQ
29-Feb-2020Ab initio thermodynamic optimization of Ni-rich Ni–Co–Mn oxide cathode coatingsLiu, B; Liu, JH; Yang, J; Wang, D; Ye, CC; Wang, DY; Avdeev, M; Shi, S; Yang, JH; Zhang, WQ
11-Aug-2020Ultrastable all-solid-state sodium rechargeable batteriesYang, J; Liu, G; Avdeev, M; Wan, H; Han, F; Shen, L; Zou, Z; Shi, S; Hu, YS; Wang, CS; Yao, X
25-Jun-2020A database of ionic transport characteristics for over 29 000 inorganic compoundsZhang, LW; He, B; Zhao, Q; Zou, ZY; Chi, ST; Mi, PH; Ye, AJ; Li, YJ; Wang, D; Avdeev, M; Adams, S; Shi, S
9-Mar-2020Understanding the Li diffusion mechanism and positive effect of current collector volume expansion in anode free batteriesZhuang, Y; Zou, ZY; Lu, B; Li, YJ; Wang, D; Avdeev, M; Shi, S
20-Feb-2020Uncovering the potential of M1‐site‐activated NASICON cathodes for Zn‐Ion batteriesHu, P; Zou, Z; Sun, XW; Wang, D; Ma, J; Kong, QY; Xiao, DD; Gu, L; Zhou, XH; Zhao, JW; Dong, SM; He, B; Avdeev, M; Shi, S; Cui, GL; Chen, LQ
22-May-2020CAVD, towards better characterization of void space for ionic transport analysisHe, B; Ye, A; Chi, S; Mi, P; Ran, Y; Zhang, L; Zou, X; Pu, B; Zhao, Q; Zou, Z; Wang, D; Zhang, WQ; Zhao, J; Avdeev, M; Shi, S
21-May-2020High-throughput screening platform for solid electrolytes combining hierarchical ion-transport prediction algorithmsHe, B; Chi, S; Ye, A; Mi, P; Zhang, L; Pu, B; Zou, Z; Ran, Y; Zhao, Q; Wang, D; Zhang, WQ; Zhao, J; Adams, S; Avdeev, M; Shi, S
27-Jul-2020Efficient potential-tuning strategy through p-type doping for designing cathodes with ultrahigh energy densityWang, ZQ; Wang, D; Zou, Z; Song, T; Ni, DX; Li, ZZ; Shao, XC; Yin, WJ; Wang, YC; Luo, WW; Wu, MS; Avdeev, M; Xu, B; Shi, S; Ouyang, CY; Chen, LQ
17-May-2020Predicting creep rupture life of Ni-based single crystal superalloys using divide-and-conquer approach based machine learningLiu, Y; Wu, JM; Wang, ZC; Lu, XG; Avdeev, M; Shi, S; Wang, CY; Yu, T