约束碳炔合成的系统优化。

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Clara Freytag, Christin Schuster, Emil Parth, Dido Denier van der Gon, Takeshi Saito, Kazuhiro Yanagi, Paola Ayala, Thomas Pichler
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引用次数: 0

摘要

约束碳炔是碳纳米管内sp1杂化的线性碳链,是一种具有优异性能和潜在应用前景的新型材料。在目前成功的合成方法中,高温高真空退火是比较流行的。进一步的优化可以通过调整合成途径来实现。本文系统分析了高温真空工艺的关键合成参数,包括前驱体填充、退火步骤顺序和温度条件。提出了一种新的产率确定模型,该模型克服了以往碳炔不规则共振拉曼行为的局限性,可用于评估整体产率和实现的增长潜力。利用该改进模型,可以对多步退火过程的整体良率优化潜力进行定量评估。这些结果为限制碳的基本形成机制提供了重要的见解,促进了我们对这种有前途的杂化纳米材料体系的理解。因此,有可能通过精确控制合成条件来建立改进的方案,以最大限度地提高受限碳炔的产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic Optimization of the Synthesis of Confined Carbyne.

Confined carbyne, an sp1-hybridized linear carbon chain inside a carbon nanotube, is a novel material with remarkable properties and potential applications. Among its currently successful synthesis methods, high temperature high vacuum annealing is prevalent. Further optimization could be achieved by tuning the synthesis pathway. Here, a systematic analysis of key synthesis parameters including precursor filling, annealing step sequences, and temperature conditions during high temperature vacuum processing is performed. A novel yield determination model that overcomes previous limitations related to the irregular resonance Raman behavior of carbyne is applied to evaluate bulk yield and realized growth potential. With this refined model, it is possible to make a quantitative assessment of bulk yield optimization potential in multi-step annealing processes. These results provide crucial insights into the fundamental formation mechanisms of confined carbyne, advancing our understanding of this promising hybrid nanomaterial system. It is therefore possible to establish improved protocols for maximizing confined carbyne yields through precise control of synthesis conditions.

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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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