Meihong Zhu

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We report ferroelectricity and self-polarization in the (001) oriented ultrathin relaxor ferroelectric PMN-PT films grown on Nb-SrTiO3, SrRuO3 and La0.7Sr0.3MnO3, respectively. Resistance-voltage measurements and AC impedance analysis suggest that at high temperatures Schottky depletion width in a 4 nm thick PMN-PT film deposited on Nb-SrTiO3 is smaller(More)
We report a giant electric-field control of magnetization (M) as well as magnetic anisotropy in a Co40Fe40B20(CoFeB)/Pb(Mg1/3Nb2/3)0.7Ti0.3O3(PMN-PT) structure at room temperature, in which a maximum relative magnetization change (ΔM/M) up to 83% with a 90° rotation of the easy axis under electric fields were observed by different magnetic measurement(More)
We report a giant electric-field control of magnetization (M) as well as magnetic anisotropy in a (PMN-PT) structure at room temperature, in which a maximum relative magnetization change (DM/M) up to 83% with a 906 rotation of the easy axis under electric fields were observed by different magnetic measurement systems with in-situ electric fields. The(More)
OBJECTIVE To explore the relationship between children's motor coordination and their physical growth to provide clues for clarifying the causal relationship between them and to effectively enhance the children's physical growth. METHOD Ten kindergartens were selected randomly from district of Hongkou, Putuo and Pudong in Shanghai, and 1099 children were(More)
According to Domingos’ bias–variance decomposition framework, we study the bias–variance characteristics of the standard Multiple Criteria Linear Programming (MCLP) classification method. The experimental results show that, under Domingos’ bias–variance decomposition framework, bias is much bigger than variance, and boosting(More)
This paper aims to provide a scheme for effectively and efficiently finding an approximately optimal example size with respect to a given dataset when using Multiple-Criteria Linear Programming (MCLP) classification method. By integrating techniques of both progressive sampling and classification committee, it designs a dynamic classification committee(More)
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