Analysis of Ionicity-Magnetism Competition in 2D-MX3 Halides towards a Low-Dimensional Materials Study Based on GPU-Enabled Computational Systems
The acceleration of parallel high-throughput first-principle calculations in the context of 3D (three dimensional) periodic boundary conditions for low-dimensional systems, and particularly 2D materials, is an important issue for new material design. Where the scalability rapidly deflated due to the...
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oai:doaj.org-article:4622395ff4284b1c9eb4b57b35e82f372021-11-25T18:31:14ZAnalysis of Ionicity-Magnetism Competition in 2D-MX3 Halides towards a Low-Dimensional Materials Study Based on GPU-Enabled Computational Systems10.3390/nano111129672079-4991https://doaj.org/article/4622395ff4284b1c9eb4b57b35e82f372021-11-01T00:00:00Zhttps://www.mdpi.com/2079-4991/11/11/2967https://doaj.org/toc/2079-4991The acceleration of parallel high-throughput first-principle calculations in the context of 3D (three dimensional) periodic boundary conditions for low-dimensional systems, and particularly 2D materials, is an important issue for new material design. Where the scalability rapidly deflated due to the use of large void unit cells along with a significant number of atoms, which should mimic layered structures in the vacuum space. In this report, we explored the scalability and performance of the Quantum ESPRESSO package in the hybrid central processing unit - graphics processing unit (CPU-GPU) environment. The study carried out in the comparison to CPU-based systems for simulations of 2D magnets where significant improvement of computational speed was achieved based on the IBM ESSL SMP CUDA library. As an example of physics-related results, we have computed and discussed the ionicity-covalency and related ferro- (FM) and antiferro-magnetic (AFM) exchange competitions computed for some CrX<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>3</mn></msub></semantics></math></inline-formula> compounds. Further, it has been demonstrated how this exchange interplay leads to high-order effects for the magnetism of the 1L-RuCl<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>3</mn></msub></semantics></math></inline-formula> compound.Alexey KartsevSergey MalkovskyAndrey ChibisovMDPI AGarticledensity functional theory2D magnetsCrI3RuCl3biquadratic exchangeferromagentismChemistryQD1-999ENNanomaterials, Vol 11, Iss 2967, p 2967 (2021) |
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density functional theory 2D magnets CrI3 RuCl3 biquadratic exchange ferromagentism Chemistry QD1-999 |
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density functional theory 2D magnets CrI3 RuCl3 biquadratic exchange ferromagentism Chemistry QD1-999 Alexey Kartsev Sergey Malkovsky Andrey Chibisov Analysis of Ionicity-Magnetism Competition in 2D-MX3 Halides towards a Low-Dimensional Materials Study Based on GPU-Enabled Computational Systems |
description |
The acceleration of parallel high-throughput first-principle calculations in the context of 3D (three dimensional) periodic boundary conditions for low-dimensional systems, and particularly 2D materials, is an important issue for new material design. Where the scalability rapidly deflated due to the use of large void unit cells along with a significant number of atoms, which should mimic layered structures in the vacuum space. In this report, we explored the scalability and performance of the Quantum ESPRESSO package in the hybrid central processing unit - graphics processing unit (CPU-GPU) environment. The study carried out in the comparison to CPU-based systems for simulations of 2D magnets where significant improvement of computational speed was achieved based on the IBM ESSL SMP CUDA library. As an example of physics-related results, we have computed and discussed the ionicity-covalency and related ferro- (FM) and antiferro-magnetic (AFM) exchange competitions computed for some CrX<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>3</mn></msub></semantics></math></inline-formula> compounds. Further, it has been demonstrated how this exchange interplay leads to high-order effects for the magnetism of the 1L-RuCl<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>3</mn></msub></semantics></math></inline-formula> compound. |
format |
article |
author |
Alexey Kartsev Sergey Malkovsky Andrey Chibisov |
author_facet |
Alexey Kartsev Sergey Malkovsky Andrey Chibisov |
author_sort |
Alexey Kartsev |
title |
Analysis of Ionicity-Magnetism Competition in 2D-MX3 Halides towards a Low-Dimensional Materials Study Based on GPU-Enabled Computational Systems |
title_short |
Analysis of Ionicity-Magnetism Competition in 2D-MX3 Halides towards a Low-Dimensional Materials Study Based on GPU-Enabled Computational Systems |
title_full |
Analysis of Ionicity-Magnetism Competition in 2D-MX3 Halides towards a Low-Dimensional Materials Study Based on GPU-Enabled Computational Systems |
title_fullStr |
Analysis of Ionicity-Magnetism Competition in 2D-MX3 Halides towards a Low-Dimensional Materials Study Based on GPU-Enabled Computational Systems |
title_full_unstemmed |
Analysis of Ionicity-Magnetism Competition in 2D-MX3 Halides towards a Low-Dimensional Materials Study Based on GPU-Enabled Computational Systems |
title_sort |
analysis of ionicity-magnetism competition in 2d-mx3 halides towards a low-dimensional materials study based on gpu-enabled computational systems |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/4622395ff4284b1c9eb4b57b35e82f37 |
work_keys_str_mv |
AT alexeykartsev analysisofionicitymagnetismcompetitionin2dmx3halidestowardsalowdimensionalmaterialsstudybasedongpuenabledcomputationalsystems AT sergeymalkovsky analysisofionicitymagnetismcompetitionin2dmx3halidestowardsalowdimensionalmaterialsstudybasedongpuenabledcomputationalsystems AT andreychibisov analysisofionicitymagnetismcompetitionin2dmx3halidestowardsalowdimensionalmaterialsstudybasedongpuenabledcomputationalsystems |
_version_ |
1718411012069130240 |