Dataset Information

NaCl-Assisted Temperature-Dependent Controllable Growth of Large-Area MoS₂ Crystals Using Confined-Space CVD.

ABSTRACT: Due to its semiconducting nature, controlled growth of large-area chemical vapor deposition (CVD)-grown two-dimensional (2D) molybdenum disulfide (MoS₂) has a lot of potential applications in photodetectors, sensors, and optoelectronics. Yet the controllable, large-area, and cost-effective growth of highly crystalline MoS₂ remains a challenge. Confined-space CVD is a very promising method for the growth of highly crystalline MoS₂ in a controlled manner. Herein, we report the large-scale growth of MoS₂ with different morphologies using NaCl as a seeding promoter for confined-space CVD. Changes in the morphologies of MoS₂ are reported by variation in the amount of seeding promoter, precursor ratio, and the growth temperature. Furthermore, the properties of the grown MoS₂ are analyzed using optical microscopy, scanning electron microscopy (SEM), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), energy-dispersive X-ray spectroscopy (EDX), and atomic force microscopy (AFM). The electrical properties of the CVD-grown MoS₂ show promising performance from fabricated field-effect transistors. This work provides new insight into the growth of large-area MoS₂ and opens the way for its various optoelectronic and electronic applications.

SUBMITTER: Suleman M

PROVIDER: S-EPMC9434612 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Publications

NaCl-Assisted Temperature-Dependent Controllable Growth of Large-Area MoS2 Crystals Using Confined-Space CVD.

Suleman Muhammad M Lee Sohee S Kim Minwook M Kim Minwook M Nguyen Van Huy VH Riaz Muhammad M Nasir Naila N Kumar Sunil S Park Hyun Min HM Jung Jongwan J Seo Yongho Y

ACS omega 20220822 34

Due to its semiconducting nature, controlled growth of large-area chemical vapor deposition (CVD)-grown two-dimensional (2D) molybdenum disulfide (MoS2) has a lot of potential applications in photodetectors, sensors, and optoelectronics. Yet the controllable, large-area, and cost-effective growth of highly crystalline MoS2 remains a challenge. Confined-space CVD is a very promising method for the growth of highly crystalline MoS2 in a controlled manner. Herein, w ...[more]

PMID: 36061644

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Project description:Molybdenum disulfide (MoS2) is a layered transition metal-sulfur compound semiconductor that shows promising prospects for applications in optoelectronics and integrated circuits because of its low preparation cost, good stability and excellent physicochemical, biological and mechanical properties. MoS2 with high quality, large size and outstanding performance can be prepared via chemical vapor deposition (CVD). However, its preparation process is complex, and the area of MoS2 obtained is difficult to control. Machine learning (ML), as a powerful tool, has been widely applied in materials science. Based on this, in this paper, a ML Gaussian regression model was constructed to explore the growth mechanism of MoS2 material prepared with the CVD method. The parameters of the regression model were evaluated by combining the four indicators of goodness of fit (r2), mean squared error (MSE), Pearson correlation coefficient (p) and p-value (p_val) of Pearson's correlation coefficient. After comprehensive comparison, it was found that the performance of the model was optimal when the number of iterations was 15. Additionally, feature importance analysis was conducted on the growth parameters using the established model. The results showed that the carrier gas flow rate (Fr), molybdenum sulfur ratio (R) and reaction temperature (T) had a crucial impact on the CVD growth of MoS2 materials. The optimal model was used to predict the size of molybdenum disulfide synthesis under 185,900 experimental conditions in the simulation dataset so as to select the optimal range for the synthesis of large-size molybdenum disulfide. Furthermore, the model prediction results were verified through literature and experimental results. It was found that the relative error between the prediction results and the literature and experimental results was small. These findings provide an effective solution to the preparation of MoS2 materials with a reduction in the time and cost of trial and error.

Dataset Information

NaCl-Assisted Temperature-Dependent Controllable Growth of Large-Area MoS₂ Crystals Using Confined-Space CVD.

Publications

NaCl-Assisted Temperature-Dependent Controllable Growth of Large-Area MoS<sub>2</sub> Crystals Using Confined-Space CVD.

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