2023
DOI: 10.1016/j.mseb.2022.116204
|View full text |Cite
|
Sign up to set email alerts
|

Investigation of the thermal and ferroelectric properties of a Spin-1 Ising thin film: Insight from path integral Monte Carlo

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(2 citation statements)
references
References 72 publications
0
2
0
Order By: Relevance
“…In recent research, investigations of the magnetic, magnetocaloric, and dielectric characteristics of diverse structures have been done via the Monte Carlo technique (MCt), including nano-islands [16], nanowires [17], Borophene Superlattices and core-shell [18,19], graphene-like nanoribbons [20], copper fluorides [21], a nano-graphene bilayer [22], a diluted graphdiyne monolayer with defects [23], a trilayer graphene-like structure [24], a polyhedral chain [25], the Kagome Ferromagnet [26]. Ising models have also been utilized to investigate the mixed systems, like the TbMnO 3 multiferroic system [27], the Gd 2 O 3 nanowire [28], the graphyne [29] and the core-shell Nanotube [30] systems and the Ising thin-film [31]. These models have been useful in predicting magnetic phenomena in a variety of structures, from nanoscale to bulk materials.…”
Section: Introductionmentioning
confidence: 99%
“…In recent research, investigations of the magnetic, magnetocaloric, and dielectric characteristics of diverse structures have been done via the Monte Carlo technique (MCt), including nano-islands [16], nanowires [17], Borophene Superlattices and core-shell [18,19], graphene-like nanoribbons [20], copper fluorides [21], a nano-graphene bilayer [22], a diluted graphdiyne monolayer with defects [23], a trilayer graphene-like structure [24], a polyhedral chain [25], the Kagome Ferromagnet [26]. Ising models have also been utilized to investigate the mixed systems, like the TbMnO 3 multiferroic system [27], the Gd 2 O 3 nanowire [28], the graphyne [29] and the core-shell Nanotube [30] systems and the Ising thin-film [31]. These models have been useful in predicting magnetic phenomena in a variety of structures, from nanoscale to bulk materials.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, this paper refers to the method of testing consistency with the cloud model characteristics proposed by Li et al [ 25 ] to calculate the weight boundary of each evaluation index. As a classical random number simulation method, the Monte Carlo Simulation has been extended to the fields of medicine [ 26 ], material science [ 27 ], chemistry [ 28 ] and so on. In order to adapt to the fuzzy attribute of multi-criteria problems, this paper uses the Monte Carlo Simulation Method to select the weight value within the tested weight boundary, so as to obtain a reasonable and fuzzy final weight value.…”
Section: Introductionmentioning
confidence: 99%