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 |