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Автор Li Zhong-Yi
Автор Yuan Song-Liu
Автор Peng Gang
Автор Tang Chao-Qun
Дата выпуска 2001-10-01
dc.description Resistance as a function of temperature for optimally doped manganese perovskites is simulated based on a random resistor network model which is generated through the Monte Carlo method by identifying neighbours in each cubic lattice randomly occupied by ferromagnetic metallic particles. Only one parameter, i.e. the number density of ferromagnetic particles, is used as an adjustable parameter, and it is shown that the model yields excellent agreement with measured resistance data in (La<sub>1-x</sub>Y<sub>x</sub>)<sub>2/3</sub>Ca<sub>1/3</sub>MnO<sub>3</sub> (0≤x≤0.2) for temperatures covering the whole range from the high-T insulating behaviour to the low-T metallic state.
Формат application.pdf
Издатель Institute of Physics Publishing
Название Monte Carlo Simulation of the Temperature-Dependent Resistance for (La<sub>1-x</sub>Y<sub>x</sub>)<sub>2/3</sub>Ca<sub>1/3</sub>MnO<sub>3</sub> (0≤x≤0.2)
Тип paper
DOI 10.1088/0256-307X/18/10/330
Electronic ISSN 1741-3540
Print ISSN 0256-307X
Журнал Chinese Physics Letters
Том 18
Первая страница 1392
Последняя страница 1394
Аффилиация Li Zhong-Yi; Institute of Materials Physics and Department of Physics, Huazhong University of Science and Technology, Wuhan 430074
Аффилиация Yuan Song-Liu; Institute of Materials Physics and Department of Physics, Huazhong University of Science and Technology, Wuhan 430074
Аффилиация Peng Gang; Institute of Materials Physics and Department of Physics, Huazhong University of Science and Technology, Wuhan 430074
Аффилиация Tang Chao-Qun; Institute of Materials Physics and Department of Physics, Huazhong University of Science and Technology, Wuhan 430074
Выпуск 10

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