Monte Carlo simulation of the temperature-dependent resistance for (La1-xYx)(2/3)Ca1/3MnO3 (0 <= x <= 0.2)

Resistance as a function of temperature for optimally doped manganese perov skites is simulated based on a random resistor network model which is gener ated through the Monte Carlo method by identifying neighbours in each cubic lattice randomly occupied by ferromagnetic metallic particles. Only one pa rameter, i.e. the number density of ferromagnetic particles, is used as an adjustable parameter, and it is shown that the model yields excellent agree ment with measured resistance data in (La1-xYx)(2/3)Ca1/3MnO3 (0 less than or equal to x less than or equal to 0.2) for temperatures covering the whol e range from the high-T insulating behaviour to the low-T metallic state.