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Structure and Bonding

Structure and Bonding期刊基本信息

  • 簡稱:STRUCT BOND
  • 大類:化學
  • 小類:無機化學與核化學
  • ISSN:0081-5993
  • IF值:2.121
  • 周期:Tri-annual
  • 是否SCI:SCI/SCIE
  • 是否OA:No
  • 出版地:UNITED STATES
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Structure and Bonding中文簡介

《結構與聯結》是一種獨特的連接期刊和書籍格式的出版物。組織成專題卷,該系列出版的深入和關鍵的審查所有主題有關的結構和紐帶。該系列已有50多年的歷史,從簡單分子的理論方法發展到更復雜的系統。本系列的主題現在包括分子固體的設計和工程,如分子機器、表面、二維材料、金屬簇和基于互補氫鍵網絡或金屬-有機框架材料(MOFs)中的金屬配位中心的超分子物種。同樣有趣的是研究有機金屬轉化和催化過程的反應坐標,以及參與重要生化酶反應的金屬離子的電子性質。本叢書還涉及物理和光譜技術方面的書籍,這些技術用于洞察結構和鍵合問題,以及與鍵合模型、反應途徑和化學過程速率相關的實驗研究。《結構與聯結》能夠為交流當代研究中目前產生的大量數據所面臨的挑戰作出貢獻,方法是產生大量的數據,總結當前感興趣的某些領域的重要發展,并提供使用和解釋大型數據庫所必需的概念框架。

Structure and Bonding英文簡介

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.

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