Wet spinning of multi-walled carbon nanotube fibers

Im, Jaegyun; Jeong, Yun Ho; Kim, Min Chan; Oh, Daehan; Son, Jeonghyun; Hyun, Kyu; Jeong, Beomjin; Hong, Seungki; Lee, Jaegeun

doi:10.1016/j.carbon.2023.118532

Cited by 14 publications

(1 citation statement)

References 61 publications

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“…Carbon nanotubes (CNTs) have become a significant component in various fields due to their outstanding electrical [ 1 ], thermal [ 2 ], and mechanical properties [ 3 , 4 ]. For example, the excellent mechanical properties of CNTs are realized on a macroscopic scale by assembling CNTs into CNT fiber [ 5 , 6 , 7 , 8 ]. Due to the high electric conductivity and one-dimensional nanostructure, CNTs are actively utilized as conductive additives in batteries [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Bayesian Optimization of Wet-Impregnated Co-Mo/Al2O3 Catalyst for Maximizing the Yield of Carbon Nanotube Synthesis

Shin,

Song,

Shin

et al. 2023

Nanomaterials

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Multimetallic catalysts have demonstrated their high potential for the controlled synthesis of carbon nanotubes (CNTs), but their development requires a more complicated optimization than that of monometallic catalysts. Here, we employed Bayesian optimization (BO) to optimize the preparation of Co-Mo/Al2O3 catalyst using wet impregnation, with the goal of maximizing carbon yield in the chemical vapor deposition (CVD) synthesis of CNTs. In the catalyst preparation process, we selected four parameters to optimize: the weight percentage of metal, the ratio of Co to Mo in the catalyst, the drying temperature, and the calcination temperature. We ran two parallel BO processes to compare the performance of two types of acquisitions: expected improvement (EI), which does not consider noise, and one-shot knowledge gradient (OKG), which takes noise into account. As a result, both acquisition functions successfully optimized the carbon yield with similar performance. The result suggests that the use of EI, which has a lower computational load, is acceptable if the system has sufficient robustness. The investigation of the contour plots showed that the addition of Mo has a negative effect on carbon yield.

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Section: Introductionmentioning

confidence: 99%

Bayesian Optimization of Wet-Impregnated Co-Mo/Al2O3 Catalyst for Maximizing the Yield of Carbon Nanotube Synthesis

Shin,

Song,

Shin

et al. 2023

Nanomaterials

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Versatile and Fast Electrochemical Activation Method for Carbon Nanotube Fibers with Diverse Active Materials

Lee,

Yu,

Han

et al. 2024

Small Methods

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In this study, the challenge of non‐electrochemical activity in carbon nanotube fibers (CNTFs) is addressed by developing a modified chlorosulfonic acid (CSA) densification process specifically developed for directly spun CNTFs. This post‐treatment method, well‐known for enhancing the physical properties of CNTFs, utilizes the double diffusion phenomenon to efficiently integrate a diverse range of active materials, from conductive polymers like polyaniline (PANI) to metal oxides like nickel oxide (NiO), into the fibers. This universal and cost‐effective approach not only simplifies the integration process but also significantly boosts both the electrochemical and physical properties of the fibers. For instance, the PANI@CNTF composite exhibited a remarkable 17‐fold increase in specific capacitance and a two‐fold increase in load value compared to its pristine counterparts. This method proves straightforward, efficient, and versatile, making it suitable for developing fiber‐shaped electrodes that advance the capabilities of wearable energy storage systems.

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Microbial-driven fabrication of rare earth materials

Cui,

Wang,

et al. 2024

Sci. China Mater.

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Wet spinning of multi-walled carbon nanotube fibers

Cited by 14 publications

References 61 publications

Bayesian Optimization of Wet-Impregnated Co-Mo/Al2O3 Catalyst for Maximizing the Yield of Carbon Nanotube Synthesis

Bayesian Optimization of Wet-Impregnated Co-Mo/Al2O3 Catalyst for Maximizing the Yield of Carbon Nanotube Synthesis

Versatile and Fast Electrochemical Activation Method for Carbon Nanotube Fibers with Diverse Active Materials

Microbial-driven fabrication of rare earth materials

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