Prediction of magnetic properties of an Ising-type perovskite LaFeO3 by particle swarm optimization combined with Monte Carlo method
Source abstract
Abstract
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.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Magnetic and transport properties of perovskites and related materials · Perovskite Materials and Applications · Multiferroics and related materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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