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New methods for structure determination of materials by solid-state nuclear magnetic resonance spectroscopy

New methods for structure determination of materials by solid-state nuclear magnetic resonance spectroscopy
固态核磁共振波谱测定材料结构的新方法
批准号:
386620-2010
负责人:
Brouwer, Darren
金额:
$2.19万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2010
资助国家:
加拿大
项目状态:
已结题
起止时间:
2010-01-01 至 2011-12-31

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中文摘要
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英文摘要
An important aspect of chemistry and materials science is understanding the relationship between the function of a molecule or a material and its structure at the molecular level. Such knowledge not only satisfies the curiosity of scientists by understanding how and why things work, but allows for the design of molecules and materials that can be used for specific purposes, often to great benefit to the wider society. There are a number of research tools at the disposal of today's chemistry and materials science researchers, however many materials present significant challenges for their structural characterization. The aim of this research program is to develop an integrated approach to structure determination of solid materials in which solid-state nuclear magnetic resonance spectroscopy will be combined with the complementary tools of X-ray or neutron diffraction and quantum chemical calculations in a synergistic fashion. With such an integrated approach, a more detailed understanding of a material's structure (and its relationship to its function) will emerge than if a single characterization tool is employed. It is anticipated that the structures of important materials whose structures have thus far eluded characterization will be determined, providing new information for understanding the structure-function relationship of these materials.
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  • 批准号:
    RGPIN-2016-03836
  • 项目类别:
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  • 资助金额:
    $2.19万
  • 财政年份:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
    $2.19万
  • 财政年份:
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国内基金
海外基金
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  • 依托单位:
Computational Methods for Analyzing Toponome Data