scholarly journals Special Focus on Two-Dimensional Materials and Device Applications

2019 ◽  
Vol 62 (12) ◽  
Author(s):  
Xinran Wang ◽  
Peng Zhou
PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255637
Author(s):  
Yu Zhang ◽  
Wenjing Xu ◽  
Guangjie Liu ◽  
Zhiyong Zhang ◽  
Jinlong Zhu ◽  
...  

The bandgap of two-dimensional (2D) materials plays an important role in their applications to various devices. For instance, the gapless nature of graphene limits the use of this material to semiconductor device applications, whereas the indirect bandgap of molybdenum disulfide is suitable for electrical and photo-device applications. Therefore, predicting the bandgap rapidly and accurately for a given 2D material structure has great scientific significance in the manufacturing of semiconductor devices. Compared to the extremely high computation cost of conventional first-principles calculations, machine learning (ML) based on statistics may be a promising alternative to predicting bandgaps. Although ML algorithms have been used to predict the properties of materials, they have rarely been used to predict the properties of 2D materials. In this study, we apply four ML algorithms to predict the bandgaps of 2D materials based on the computational 2D materials database (C2DB). Gradient boosted decision trees and random forests are more effective in predicting bandgaps of 2D materials with an R2 >90% and root-mean-square error (RMSE) of ~0.24 eV and 0.27 eV, respectively. By contrast, support vector regression and multi-layer perceptron show that R2 is >70% with RMSE of ~0.41 eV and 0.43 eV, respectively. Finally, when the bandgap calculated without spin-orbit coupling (SOC) is used as a feature, the RMSEs of the four ML models decrease greatly to 0.09 eV, 0.10 eV, 0.17 eV, and 0.12 eV, respectively. The R2 of all the models is >94%. These results show that the properties of 2D materials can be rapidly obtained by ML prediction with high precision.


2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Hao Xu ◽  
Juntong Zhu ◽  
Guifu Zou ◽  
Wei Liu ◽  
Xiao Li ◽  
...  

AbstractTernary transition metal dichalcogenide alloys with spatially graded bandgaps are an emerging class of two-dimensional materials with unique features, which opens up new potential for device applications. Here, visible–near-infrared and self-powered phototransistors based on spatially bandgap-graded MoS2(1−x)Se2x alloys, synthesized by a simple and controllable chemical solution deposition method, are reported. The graded bandgaps, arising from the spatial grading of Se composition and thickness within a single domain, are tuned from 1.83 to 1.73 eV, leading to the formation of a homojunction with a built-in electric field. Consequently, a strong and sensitive gate-modulated photovoltaic effect is demonstrated, enabling the homojunction phototransistors at zero bias to deliver a photoresponsivity of 311 mA W−1, a specific detectivity up to ~ 1011 Jones, and an on/off ratio up to ~ 104. Remarkably, when illuminated by the lights ranging from 405 to 808 nm, the biased devices yield a champion photoresponsivity of 191.5 A W−1, a specific detectivity up to ~ 1012 Jones, a photoconductive gain of 106–107, and a photoresponsive time in the order of ~ 50 ms. These results provide a simple and competitive solution to the bandgap engineering of two-dimensional materials for device applications without the need for p–n junctions.


Nano Research ◽  
2020 ◽  
Author(s):  
Jinlai Zhao ◽  
Dingtao Ma ◽  
Cong Wang ◽  
Zhinan Guo ◽  
Bin Zhang ◽  
...  

2020 ◽  
Vol 8 (18) ◽  
pp. 8813-8830 ◽  
Author(s):  
Lei Zhang ◽  
Zhenjingfeng Yang ◽  
Tian Gong ◽  
Ruikun Pan ◽  
Huide Wang ◽  
...  

Recent advances in emerging Janus two-dimensional materials including fundamental physics, unique properties and potential device applications are reviewed.


2017 ◽  
Author(s):  
P.-W. Chiu ◽  
P.-H. Ho ◽  
C.-H. Yeh ◽  
W.-H. Wang ◽  
C.-H. Ho ◽  
...  

2018 ◽  
Author(s):  
Penny Perlepe ◽  
Rodolphe Clérac ◽  
Itziar Oyarzabal ◽  
Corine Mathonière

Nanophotonics ◽  
2020 ◽  
Vol 9 (16) ◽  
pp. 4719-4728
Author(s):  
Tao Deng ◽  
Shasha Li ◽  
Yuning Li ◽  
Yang Zhang ◽  
Jingye Sun ◽  
...  

AbstractThe molybdenum disulfide (MoS2)-based photodetectors are facing two challenges: the insensitivity to polarized light and the low photoresponsivity. Herein, three-dimensional (3D) field-effect transistors (FETs) based on monolayer MoS2 were fabricated by applying a self–rolled-up technique. The unique microtubular structure makes 3D MoS2 FETs become polarization sensitive. Moreover, the microtubular structure not only offers a natural resonant microcavity to enhance the optical field inside but also increases the light-MoS2 interaction area, resulting in a higher photoresponsivity. Photoresponsivities as high as 23.8 and 2.9 A/W at 395 and 660 nm, respectively, and a comparable polarization ratio of 1.64 were obtained. The fabrication technique of the 3D MoS2 FET could be transferred to other two-dimensional materials, which is very promising for high-performance polarization-sensitive optical and optoelectronic applications.


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