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COMPUTATIONAL STUDIES OF DECOMPOSITION MECHANISMS OF CATECHOL COMPOUNDS FOR AQUEOUS REDOX FLOW BATTERY APPLICATION

机译:用于氧化还原水溶液水溶液水溶液的分解机制的计算研究

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One of the main challenges in developing new batteries beyond Li-ion is the selection and discovery of suitable electrolyte materials. High-throughput computational screening techniques have been used as an effective alternative to expensive experimentation for discovery of new materials to select electrolyte materials based on multiple property evaluations.(l) By using high-throughput quantum chemical predictions of properties, the hieratical computing scheme was shown to effectively eliminate many unpromising candidates and uncover structure-property relationships for developing design principles. However, experimental validation work for the selected molecule candidates shows that most of the computationally selected compounds have irreversible redox activity, suggesting the instability of these molecules in either neutral or charged states is the key limitation of their application in electrolyte system. Unfortunately, stability is too complicated to be addressed using high-throughput computation as there are many degradation mechanisms possible and there is no simple descriptor available for prediction. Therefore, the most rational approach to address stability problem is to study stability of different classes of molecules under the assumption that similar degradation mechanism applies to the same class of compounds. Structure-reactivity correlation can then be established to further predict stability of more compounds of the same class.
机译:在锂离子之外开发新电池的主要挑战之一是合适的电解质材料的选择和发现。高通量计算筛选技术已被用作昂贵的实验的有效替代方案,用于发现新材料以基于多种性质评估选择电解质材料。(L)通过使用高通量量子化学预测性质,静脉计算方案是显示有效地消除了许多不妥协的候选人,并揭示了开发设计原则的揭示结构性质关系。然而,所选分子候选物的实验验证工作表明,大多数计算所选择的化合物具有不可逆的氧化还原活性,表明这些分子在中性或带电状态下的不稳定性是它们在电解质系统中应用的关键限制。不幸的是,使用高吞吐量计算来解决稳定性太复杂,因为存在许多劣化机制,并且没有可用于预测的简单描述符。因此,解决稳定性问题的最合理方法是在假设中研究不同类别分子的稳定性,类似的降解机制适用于同一类化合物。然后可以建立结构 - 反应性相关性以进一步预测相同类化合物的稳定性。

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