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Structure and Bonding

SCI/SCIE
Structure and Bonding
简称:STRUCT BOND
期刊ISSN:0081-5993
大类研究方向:化学
影响因子:2.121
数据库类型:SCI/SCIE
是否OA:No
出版地:UNITED STATES
年文章数:13
小类研究方向:无机化学与核化学

Structure and Bonding

英文简介

Structure and Bonding is a publication which uniquely bridges the journal and book format. Organized into topical volumes, the series publishes in depth and critical reviews on all topics concerning structure and bonding. With over 50 years of history, the series has developed from covering theoretical methods for simple molecules to more complex systems.Topics addressed in the series now include the design and engineering of molecular solids such as molecular machines, surfaces, two dimensional materials, metal clusters and supramolecular species based either on complementary hydrogen bonding networks or metal coordination centers in metal-organic framework materials (MOFs). Also of interest is the study of reaction coordinates of organometallic transformations and catalytic processes, and the electronic properties of metal ions involved in important biochemical enzymatic reactions.Volumes on physical and spectroscopic techniques used to provide insights into structural and bonding problems, as well as experimental studies associated with the development of bonding models, reactivity pathways and rates of chemical processes are also relevant for the series.Structure and Bonding is able to contribute to the challenges of communicating the enormous amount of data now produced in contemporary research by producing volumes which summarize important developments in selected areas of current interest and provide the conceptual framework necessary to use and interpret mega-databases.

Structure and Bonding

中文简介

《结构与联结》是一种独特的连接期刊和书籍格式的出版物。组织成专题卷,该系列出版的深入和关键的审查所有主题有关的结构和纽带。该系列已有50多年的历史,从简单分子的理论方法发展到更复杂的系统。本系列的主题现在包括分子固体的设计和工程,如分子机器、表面、二维材料、金属簇和基于互补氢键网络或金属-有机框架材料(MOFs)中的金属配位中心的超分子物种。同样有趣的是研究有机金属转化和催化过程的反应坐标,以及参与重要生化酶反应的金属离子的电子性质。本丛书还涉及物理和光谱技术方面的书籍,这些技术用于洞察结构和键合问题,以及与键合模型、反应途径和化学过程速率相关的实验研究。《结构与联结》能够为交流当代研究中目前产生的大量数据所面临的挑战作出贡献,方法是产生大量的数据,总结当前感兴趣的某些领域的重要发展,并提供使用和解释大型数据库所必需的概念框架。

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