Toward improved property prediction of 2D materials using many-body quantum Monte Carlo methods

The field of 2D materials has grown dramatically in the past two decades. 2D materials can be utilized for a variety of next-generation optoelectronic, spintronic, clean energy, and quantum computing applications. These 2D structures, which are often exfoliated from layered van der Waals materials, possess highly inhomogeneous electron densities and can possess short- and long-range electron correlations. The complexities of 2D materials make them challenging to study with standard mean-field electronic structure methods such as density functional theory (DFT), which relies on approximations for the unknown exchange-correlation functional. To overcome the limitations of DFT, highly accurate many-body electronic structure approaches such as diffusion Monte Carlo (DMC) can be utilized. In the past decade, DMC has been used to calculate accurate magnetic, electronic, excitonic, and topological properties in addition to accurately capturing interlayer interactions and cohesion and adsorption energetics of 2D materials. This approach has been applied to 2D systems of wide interest, including graphene, phosphorene, MoS2, CrI3, VSe2, GaSe, GeSe, borophene, and several others. In this review article, we highlight some successful recent applications of DMC to 2D systems for improved property predictions beyond standard DFT.

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Publication Details

Journal
Applied Physics Reviews
Published
2025-08-22
DOI
https://doi.org/10.1063/5.0220257
Citations
5
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
2.59

Funders

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article

Toward improved property prediction of 2D materials using many-body quantum Monte Carlo methods

Daniel Wines, Anouar Benali, Yongkyung Kwon, Can Ataca et al.
5 citations
Applied Physics Reviews
2D Materials and Applications
2.59
article

Toward improved property prediction of 2D materials using many-body quantum Monte Carlo methods

Daniel Wines, Anouar Benali, Yongkyung Kwon, Can Ataca, Luboš Mitáš, Brenda M. Rubenstein, Hyeondeok Shin, Jeonghwan Ahn, Fernando A. Reboredo, Kayahan Saritas, I. Štich, Paul R. C. Kent, Jaron T. Krogel
article en
5 citations

Abstract

The field of 2D materials has grown dramatically in the past two decades. 2D materials can be utilized for a variety of next-generation optoelectronic, spintronic, clean energy, and quantum computing applications. These 2D structures, which are often exfoliated from layered van der Waals materials, possess highly inhomogeneous electron densities and can possess short- and long-range electron correlations. The complexities of 2D materials make them challenging to study with standard mean-field electronic structure methods such as density functional theory (DFT), which relies on approximations for the unknown exchange-correlation functional. To overcome the limitations of DFT, highly accurate many-body electronic structure approaches such as diffusion Monte Carlo (DMC) can be utilized. In the past decade, DMC has been used to calculate accurate magnetic, electronic, excitonic, and topological properties in addition to accurately capturing interlayer interactions and cohesion and adsorption energetics of 2D materials. This approach has been applied to 2D systems of wide interest, including graphene, phosphorene, MoS2, CrI3, VSe2, GaSe, GeSe, borophene, and several others. In this review article, we highlight some successful recent applications of DMC to 2D systems for improved property predictions beyond standard DFT.

Applied Physics ReviewsVol. 12(3)
Argonne National Laboratory (US), Oak Ridge National Laboratory (US), National Institute of Standards and Technology (US), North Carolina State University (US), Slovak Academy of Sciences (SK), Konkuk University (KR), Brown University (US), Konkuk University Medical Center (KR), Institute of Informatics of the Slovak Academy of Sciences (SK), University of Maryland, Baltimore County (US), Cubist Pharmaceuticals (United States) (US)
National Science Foundation, U.S. Department of Energy, Battelle, National Research Foundation of Korea, Agentúra na Podporu Výskumu a Vývoja, Vedecká Grantová Agentúra MŠVVaŠ SR a SAV, National Institute of Standards and Technology, Office of Science, Division of Materials Research, Basic Energy Sciences, Argonne National Laboratory, H2020 Research Infrastructures
Openalex Percentile: Top 10%
2D Materials and Applications
2.59
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