Prediction of magnetic properties of an Ising-type perovskite LaFeO3 by particle swarm optimization combined with Monte Carlo method

In this work, we propose a new method of particle swarm optimization combined with Monte Carlo simulation (PSO-MC for short) to investigate the magnetic properties of the perovskite LaFeO3 structure described by Ising model. First, we use the particle swarm optimization algorithm to calculate the exchange coupling, and then we use the Monte Carlo method to simulate the effects of the crystal field and the external magnetic field on the magnetization, magnetic susceptibility, entropy, phase transition temperature and internal energy of the perovskite LaFeO3. In addition, the effects of the crystal field and temperature on hysteresis loops of LaFeO3 are studied, and the changes of the coercivity and remanence under different parameters are obtained. This paper also compares the research results with the relevant theoretical and experimental results.

Automated summary

In this paper, a new method of particle swarm optimization combined with Monte Carlo simulation (PSO-MC) is proposed to investigate the magnetic properties of the perovskite LaFeO3 structure described by Ising model. The exchange coupling is calculated using particle swarm optimization algorithm, and the effects of crystal field and external magnetic field on magnetization, magnetic susceptibility, entropy, phase transition temperature and internal energy of perovskite LaFeO3 are simulated using Monte Carlo method. The effects of crystal field and temperature on hysteresis loops of LaFeO3 are also studied, and the changes of coercivity and remanence under different parameters are obtained. The research results are compared with relevant theoretical and experimental results as well.