Contributions to the Monte Carlo study of the magnetic properties of nanomaterials such as graphyne and graphone

TL;DR

This paper employs Monte Carlo and other advanced simulation methods to investigate the magnetic and hysteretic properties of nanomaterials like graphyne and graphone, focusing on effects of defects and physical parameters.

Contribution

It introduces new computational approaches to study the magnetic behavior of graphene-based nanomaterials and analyzes defect impacts on their thermodynamic properties.

Findings

Defects significantly alter thermodynamic properties.

Physical parameters influence compensation behavior.

Results inform technological applications like thermo-optical recording.

Abstract

Attracted by the importance of new materials in nanotechnology area, this thesis develops this research field while deepening results. We started by introducing the more sophisticated simulation and calculation methods, such as the Monte Carlo method, the mean field theory, the effectif field theory and the transfer matrix. Subsequently, we studied the magnetic and hysteretic properties of the materials. Then we have detailed some of our contributions related to the materials based on graphene and ferrimagnetic nanomaterials with different morphologies. We discussed the effect of defects on the thermodynamic properties of these novel materials. Particular attention was paid to the physical parameters that influence the compensation behavior that is of crucial importance for technological applications such as thermo-optical recording. With all these elements, we are opened ourselves up to the latest developments in physics of new materials. Finally, we finished with the conclusion and perspectives.