Effect of different exfoliation solvents on the saturable absorption properties of germanene and silicene nanosheets prepared by the liquid-phase exfoliation

Du, Binjian; Zhao, Zhenyu; Yi, Xin; Ren, Zihan; Xing, Fei; Zhang, Fang

doi:10.1016/j.optmat.2022.113411

Cited by 7 publications

(2 citation statements)

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“…The SA properties of the dispersion liquids were then compared at excitation wavelengths of 532 and 1064 nm. The results show that 2D Si nanosheets (NMP) and 2D Ge nanosheets (IPA) exhibit superior SA properties, which means that NMP and IPA are the best exfoliation solvents for Si nanosheets and Ge nanosheets, respectively [51]. Overall, in the three excitation wavelengths, 2D Se (ethanol) have larger β and σ TPA , as well as smaller I s , compared to 2D Se in the other two solvents.…”

Section: Experiments and Discussionmentioning

confidence: 92%

Excellent ultraviolet optical limiting properties of Se nanosheets

Zhao

et al. 2023

Nanotechnology

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Selenium (Se) is located in the fourth period of the periodic table in group VIA (element 34). In this experiment, three different solvents (isopropyl alcohol, N-methyl-2-pyrrolidone, and ethanol) were used to prepare the two-dimensional (2D) Se nanosheets, which were manufactured by the liquid phase exfoliation (LPE) method with a thickness of 3.35 ~ 4.64 nm and a transverse scale of several hundred nanometers. The nonlinear absorption (NLA) properties at 355, 532, and 1064 nm were studied using the open aperture Z-scan technique. Final results showed that Se nanosheets exhibited optical limiting (OL) effect in all three wavebands and three solvents, and had large two-photon absorption coefficients, especially in ultraviolet (UV) waveband. Which proved that Se nanosheets had great potential application as excellent OL materials in UV waveband. Our research broadens the path for the semiconductor field of Se, inspires the application of Se in nonlinear optics field.

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Section: Experiments and Discussionmentioning

confidence: 92%

Excellent ultraviolet optical limiting properties of Se nanosheets

Zhao

et al. 2023

Nanotechnology

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“…Despite the challenges, LPE continues to be the favored method over techniques such as CVD, PVD, solvo/hydrothermal, and mechanical exfoliation for the production of various 2D materials. This preference is underscored by the successful synthesis of widely utilized 2D materials including graphene, − TMDs, ,, hBN, ,, and emerging materials like phosphorene, − borophene, , silicene, , MXene, − selenene, − tellurene, − antimonene, and bismuthene, − using LPE. Again, the research direction in the data driven can be expanded to cover those monoelement 2D materials in the future.…”

Section: Introductionmentioning

confidence: 99%

Liquid Phase Exfoliation of 2D Materials and Its Electrochemical Applications in the Data-Driven Future

Chavalekvirat,

Hirunpinyopas,

Deshsorn

et al. 2024

Precision Chemistry

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The electrochemical properties of 2D materials, particularly transition metal dichalcogenides (TMDs), hinge on their structural and chemical characteristics. To be practically viable, achieving large-scale, high-yield production is crucial, ensuring both quality and electrochemical suitability for applications in energy storage, electrocatalysis, and potentialbased ionic sieving membranes. A prerequisite for success is a deep understanding of the synthesis process, forming a critical link between materials synthesis and electrochemical performance. This review extensively examines the liquid-phase exfoliation technique, providing insights into potential advancements and strategies to optimize the TMDs nanosheet yield while preserving their electrochemical attributes. The primary goal is to compile techniques for enhancing TMDs nanosheet yield through direct liquid-phase exfoliation, considering parameters like solvents, surfactants, centrifugation, and sonication dynamics. Beyond addressing the exfoliation yield, the review emphasizes the potential impact of these parameters on the structural and chemical properties of TMD nanosheets, highlighting their pivotal role in electrochemical applications. Acknowledging evolving research methodologies, the review explores integrating machine learning and data science as tools for understanding relationships and key characteristics. Envisioned to advance 2D material research, including the optimization of graphene, MXenes, and TMDs synthesis for electrochemical applications, this compilation charts a course toward data-driven techniques. By bridging experimental and machine learning approaches, it promises to reshape the landscape of knowledge in electrochemistry, offering a transformative resource for the academic community.

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