Jiménez-Rodríguez Jacobo , Oscar Fernando Olea-Mejía , Ana Laura Martínez-Hernández , Velasco-Santos Carlos
{"title":"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","authors":"Jiménez-Rodríguez Jacobo , Oscar Fernando Olea-Mejía , Ana Laura Martínez-Hernández , Velasco-Santos Carlos","doi":"10.1016/j.flatc.2024.100654","DOIUrl":null,"url":null,"abstract":"<div><p>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 (<span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span>) stands out for its remarkable electronic, optical, and mechanical characteristics. This study aims to optimize the synthesis of liquid-phase exfoliated <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> 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 <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span>, while the response variables involve the area under the curve (absorbance) of excitonic transitions A–D from UV–Vis spectra and the direct <em>bandgap</em> values of <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> A–D excitons obtained through Tauc-Mott models. To predict the optical properties of exfoliated <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span>, 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 <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> 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 <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> 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 <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> selected samples.</p></div>","PeriodicalId":316,"journal":{"name":"FlatChem","volume":"45 ","pages":"Article 100654"},"PeriodicalIF":5.9000,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of the optical response of 2D MoS2 materials obtained through liquid-phase exfoliation using a comprehensive multi-objective approach\",\"authors\":\"Jiménez-Rodríguez Jacobo , Oscar Fernando Olea-Mejía , Ana Laura Martínez-Hernández , Velasco-Santos Carlos\",\"doi\":\"10.1016/j.flatc.2024.100654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 (<span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span>) stands out for its remarkable electronic, optical, and mechanical characteristics. This study aims to optimize the synthesis of liquid-phase exfoliated <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> 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 <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span>, while the response variables involve the area under the curve (absorbance) of excitonic transitions A–D from UV–Vis spectra and the direct <em>bandgap</em> values of <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> A–D excitons obtained through Tauc-Mott models. To predict the optical properties of exfoliated <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span>, 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 <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> 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 <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> 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 <span><math><mrow><mi>Mo</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> selected samples.</p></div>\",\"PeriodicalId\":316,\"journal\":{\"name\":\"FlatChem\",\"volume\":\"45 \",\"pages\":\"Article 100654\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2024-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"FlatChem\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2452262724000485\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"FlatChem","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452262724000485","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
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 () stands out for its remarkable electronic, optical, and mechanical characteristics. This study aims to optimize the synthesis of liquid-phase exfoliated 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 , 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 A–D excitons obtained through Tauc-Mott models. To predict the optical properties of exfoliated , 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 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 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 selected samples.
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)