Correction: First-principles prediction on bismuthylene monolayer as a promising quantum spin Hall insulator

Zhang, Run-Wu; Zhang, Chang-wen; Ji, Wei-xiao; Shen, Yan; Yao, Yugui

doi:10.1039/c7nr90157g

Cited by 3 publications

(2 citation statements)

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“…First-principles calculations combined with HTS are used to identify quantum spin Hall insulators, materials with a specific type of topological order that could be used in spintronic devices [113][114][115][116][117][118].…”

Section: High-throughput Screeningmentioning

confidence: 99%

Review on automated 2D material design

Al-Maeeni,

Lazarev,

Kazeev

et al. 2024

2D Mater.

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Deep learning (DL) methodologies have led to significant advancements in various domains, facilitating intricate data analysis and enhancing predictive accuracy and data generation quality through complex algorithms. In materials science, the extensive computational demands associated with high-throughput screening (HTS) techniques such as Density Functional Theory (DFT), coupled with limitations in laboratory production, present substantial challenges for material research. DL techniques are poised to alleviate these challenges by reducing the computational costs of simulating material properties and by generating novel materials with desired attributes. This comprehensive review paper delves into the current state of DL applications in materials design, with a particular emphasis on two-dimensional materials. The article encompasses an in-depth exploration of data-driven approaches in both forward and inverse design within the realm of materials science.

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Section: High-throughput Screeningmentioning

confidence: 99%

Review on automated 2D material design

Al-Maeeni,

Lazarev,

Kazeev

et al. 2024

2D Mater.

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show abstract

“…So, here, we will speak about bismuthene and, similarly to hydrogenated graphene or graphane, we may refer to hydrogen terminated bismuthene as bismuthane [100]. In the same logic, the porous allotrope of a Bi monolayer is denominated as bismuthylene [105]. Electronic structure of free-standing bismuthene has been addressed in [101,104] and that of double layer bismuthene in [106].…”

Section: Bismuthene: the Ultimate Layermentioning

confidence: 99%

Topological electronic structure and Rashba effect in Bi thin layers: theoretical predictions and experiments

Hricovíni¹,

Richter²,

Heckmann³

et al. 2019

J. Phys.: Condens. Matter

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The goal of the present review is to cross-compare theoretical predictions with selected experimental results of spin-and angle-resolved photoelectron spectroscopy on bismuth thin films exhibiting topological properties and a strong Rashba effect. Despite the bulk Bi crystal is topologically trivial, a single free-standing Bi(1 1 1) bilayer has been predicted by calculations to be a topological insulator. This triggered a large series of studies of ultrathin Bi(1 1 1) films grown on various substrates. Using selected examples we review theoretical predictions of atomic and electronic structure of Bi thin films exhibiting topological properties due to interaction with a substrate. We survey as well experimental signatures of topological surface states, as obtained namely by angle-resolved photoelectron spectroscopy.

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Hydrogen evolution reaction and electronic structure calculation of two dimensional bismuth and its alloys

Pillai

Dabhi

Jha

2018

International Journal of Hydrogen Energy

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Correction: First-principles prediction on bismuthylene monolayer as a promising quantum spin Hall insulator

Abstract: Correction for 'First-principles prediction on bismuthylene monolayer as a promising quantum spin Hall insulator' by Run-Wu Zhang, et al., Nanoscale, 2017, 9, 8207-8212.

Cited by 3 publications

References 0 publications

Review on automated 2D material design

Review on automated 2D material design

Topological electronic structure and Rashba effect in Bi thin layers: theoretical predictions and experiments

Hydrogen evolution reaction and electronic structure calculation of two dimensional bismuth and its alloys

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