利用综合多目标方法优化通过液相剥离获得的二维 MoS2 材料的光学响应

IF 5.9 3区 材料科学 Q2 CHEMISTRY, PHYSICAL FlatChem Pub Date : 2024-04-03 DOI:10.1016/j.flatc.2024.100654
Jiménez-Rodríguez Jacobo , Oscar Fernando Olea-Mejía , Ana Laura Martínez-Hernández , Velasco-Santos Carlos
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引用次数: 0

摘要

近年来,二维材料,如过渡金属二卤化物(TMDCs),因其独特的性能和广泛的潜在应用而备受关注。其中,二硫化钼(MoS2)因其显著的电子、光学和机械特性而脱颖而出。本研究旨在利用超声优化液相剥离 MoS2 的合成,重点关注紫外-可见光谱的吸光度和直接带隙的增加。本研究的变量包括超声功率和时间以及 MoS2 的质量,而响应变量则包括紫外可见光谱中激子跃迁 A-D 的曲线下面积(吸光度)以及通过 Tauc-Mott 模型获得的 MoS2 A-D 激子的直接带隙值。为了预测剥离 MoS2 的光学特性,我们开发了人工神经网络(ANN)算法,并随后使用遗传算法(GA)对其进行了优化。使用均方根误差(RMSE)和预测标准误差(SEP)评估了人工神经网络模型的性能。结果表明,GA-ANN 组合模型是预测各种实验条件下剥离 MoS2 纳米片光学特性的重要工具。利用扫描电子显微镜 (SEM)、透射电子显微镜 (TEM)、X 射线衍射 (XRD) 和拉曼光谱对优化过程中选定的处理方法进行了进一步表征,从而对光学特性有了更深入的了解和关联。通过 TEM 和 SEM 进行的表征证实了超声波剥离在减小 MoS2 颗粒尺寸和生成具有不同形状(包括薄片)的更小颗粒方面的有效性。XRD 和拉曼光谱分析揭示了所选剥离 MoS2 样品的晶体结构、粒度分布和分子组成的变化。
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Optimization of the optical response of 2D MoS2 materials obtained through liquid-phase exfoliation using a comprehensive multi-objective approach

2D materials, such as transition metal dichalcogenides (TMDCs), have garnered considerable attention in recent years due to their unique properties and wide-ranging potential applications. Among them, molybdenum disulfide (MoS2) stands out for its remarkable electronic, optical, and mechanical characteristics. This study aims to optimize the synthesis of liquid-phase exfoliated MoS2 using ultrasound, focusing on absorbance in the UV–Vis spectrum and the increase in the direct bandgap. The variables studied in this research include ultrasound power and time, as well as the mass of MoS2, while the response variables involve the area under the curve (absorbance) of excitonic transitions A–D from UV–Vis spectra and the direct bandgap values of MoS2 A–D excitons obtained through Tauc-Mott models. To predict the optical properties of exfoliated MoS2, we developed Artificial Neural Network (ANN) algorithms, which were subsequently optimized using a Genetic Algorithm (GA). The performance of the ANN models was assessed using Root Mean Square Error (RMSE) and Standard Error of Prediction (SEP). The results demonstrate that the combined GA-ANN model serves as a valuable tool for predicting the optical properties of exfoliated MoS2 nanosheets under various experimental conditions. The selected treatments from the optimization process were further characterized using Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), X-ray diffraction (XRD), and Raman spectroscopy, providing additional insights into and correlating with the optical properties. Characterizations through TEM and SEM confirmed the effectiveness of ultrasonic exfoliation in reducing the size of MoS2 particles and generating smaller particles with varied shapes, including thin flakes. The XRD and Raman spectroscopy analyses revealed changes in the crystalline structure, particle size distribution, and molecular composition of exfoliated MoS2 selected samples.

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来源期刊
FlatChem
FlatChem Multiple-
CiteScore
8.40
自引率
6.50%
发文量
104
审稿时长
26 days
期刊介绍: FlatChem - Chemistry of Flat Materials, a new voice in the community, publishes original and significant, cutting-edge research related to the chemistry of graphene and related 2D & layered materials. The overall aim of the journal is to combine the chemistry and applications of these materials, where the submission of communications, full papers, and concepts should contain chemistry in a materials context, which can be both experimental and/or theoretical. In addition to original research articles, FlatChem also offers reviews, minireviews, highlights and perspectives on the future of this research area with the scientific leaders in fields related to Flat Materials. Topics of interest include, but are not limited to, the following: -Design, synthesis, applications and investigation of graphene, graphene related materials and other 2D & layered materials (for example Silicene, Germanene, Phosphorene, MXenes, Boron nitride, Transition metal dichalcogenides) -Characterization of these materials using all forms of spectroscopy and microscopy techniques -Chemical modification or functionalization and dispersion of these materials, as well as interactions with other materials -Exploring the surface chemistry of these materials for applications in: Sensors or detectors in electrochemical/Lab on a Chip devices, Composite materials, Membranes, Environment technology, Catalysis for energy storage and conversion (for example fuel cells, supercapacitors, batteries, hydrogen storage), Biomedical technology (drug delivery, biosensing, bioimaging)
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