Sakaushi Ken, Nishihara Hiroshi
Center for Green Research on Energy and Environmental Materials, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan.
Research Center for Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan.
Acc Chem Res. 2021 Aug 3;54(15):3003-3015. doi: 10.1021/acs.accounts.1c00172. Epub 2021 May 15.
ConspectusAlthough electrochemical energy storage is commonplace in our society, further advancements in this technology are indispensable for the transition to a low-carbon society. Recent intensive research has expanded concepts in this field; however, finding one suitable material to obtain a high energy density accomplishing the criteria of next-generation batteries is still a conundrum. To solve this issue, material investigations based on big data combined with artificial intelligence are a present trend. On the contrary, this Account focuses on an alternative approach, i.e., fundamental research to shed light on key basic principles to design new electrode materials and new principles achieving multielectron transfer, which is a key to improve a specific capacity. In addition to the cation-redox mechanism, materials showing the multielectron-transfer mechanism based on cation-/anion-redox can enrich material choices with high theoretical energy densities. The challenge in this mechanism is that a rational design of electrode materials based on microscopic understanding of underlying electrode processes has not been fully achieved so far. This is a key bottleneck in machine-learning approaches as well because the reliability of outputs from an algorithm is dependent on the reliability of data from a corresponding microscopic electrode process. Therefore, uncovering fundamental mechanisms in electrochemical energy storage remains one of the primary goals for the present research. In our series of investigations, we developed concepts for replacing complex practical electrode materials, such as polyanion or Li-rich layered oxides, by simplified model systems based on two-dimensional (2D) π-conjugated frameworks, which are based on purely organic aromatic systems and metal-containing coordination polymers. These materials are relatively simple, but it is still possible to control their complexity of systems in order to mimic certain aspects of structure-property relations in practical electrode materials. In particular, recent studies have shown that we can tune electronic structures of 2D π-conjugated frameworks, which is a key feature to investigate electron-transfer mechanisms, along with the concept of the threefold correlation approach, i.e., the relations in chemical structures, electronic structures, and electrochemical reactions. In this Account, several model studies focusing on microscopic understandings of structure-electrochemical energy storage functions are presented in which we investigate how the structural periodicity and nature of the coordination environment affect their electronic properties and the electrochemical reactions. In particular, we investigate the effects of combinations of linkers and metal ions toward the mechanism of the electrochemical energy storage reaction. We identified few major factors determining the energy storage mechanism of 2D π-conjugated frameworks. Local configurations of coordinate covalent bonding and organic linkers interact with each other, and these effects provide unique electronic states. These electronic states are projections of intriguing electrochemical features in this materials system, such as cation/anion co-redox mechanism, anion-insertion mechanism, or inductive effect. This Account indicates that 2D π-conjugated frameworks can be applied as models to extract fundamental/microscopic principles in the complicated electrode processes, which is linked to practical electrode materials, such as oxides. Therefore, the approach shown here is a powerful tool to unveil microscopic electrochemical energy storage mechanisms, which is indispensable to advance clean energy technology and accelerate decarbonization.
概述
尽管电化学储能在我们的社会中很常见,但这项技术的进一步发展对于向低碳社会的转型至关重要。最近的深入研究扩展了该领域的概念;然而,找到一种合适的材料以获得满足下一代电池标准的高能量密度仍然是一个难题。为了解决这个问题,基于大数据与人工智能相结合的材料研究是当前的趋势。相反,本综述聚焦于另一种方法,即基础研究,以阐明设计新电极材料的关键基本原理以及实现多电子转移的新原理,这是提高比容量的关键。除了阳离子氧化还原机制外,基于阳离子/阴离子氧化还原显示多电子转移机制的材料可以丰富具有高理论能量密度的材料选择。该机制面临的挑战是,到目前为止,基于对潜在电极过程的微观理解对电极材料进行合理设计尚未完全实现。这也是机器学习方法的一个关键瓶颈,因为算法输出的可靠性取决于相应微观电极过程数据的可靠性。因此,揭示电化学储能中的基本机制仍然是当前研究的主要目标之一。在我们的一系列研究中,我们提出了用基于二维(2D)π共轭框架的简化模型系统替代复杂的实用电极材料(如聚阴离子或富锂层状氧化物)的概念,这些框架基于纯有机芳香体系和含金属配位聚合物。这些材料相对简单,但仍有可能控制其系统的复杂性,以模拟实用电极材料中结构 - 性能关系的某些方面。特别是,最近的研究表明,我们可以调节二维π共轭框架的电子结构,这是研究电子转移机制的关键特征,同时结合三重关联方法的概念,即化学结构、电子结构和电化学反应之间的关系。在本综述中,展示了几个专注于对结构 - 电化学储能功能进行微观理解的模型研究,我们研究了结构周期性和配位环境的性质如何影响其电子性质和电化学反应。特别是,我们研究了连接体和金属离子的组合对电化学储能反应机制的影响。我们确定了决定二维π共轭框架储能机制 的几个主要因素。配位共价键和有机连接体的局部构型相互作用,这些作用提供了独特的电子态。这些电子态是该材料体系中有趣的电化学特征的体现,如阳离子/阴离子共氧化还原机制、阴离子插入机制或诱导效应。本综述表明,二维π共轭框架可以用作模型,以提取复杂电极过程中的基本/微观原理,这些过程与实用电极材料(如氧化物)相关。因此,这里展示的方法是揭示微观电化学储能机制的有力工具,这对于推进清洁能源技术和加速脱碳是必不可少的。