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CAREER: Configurational Defect Arrangements in Multi- Component Oxides

CAREER: Configurational Defect Arrangements in Multi- Component Oxides
职业:多组分氧化物中的构型缺陷排列
批准号:
9501856
负责人:
Gerbrand Ceder
金额:
$12.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-07-01 至 1999-06-30

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中文摘要
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英文摘要
9501856 Ceder This CAREER proposal contains both educational and research components. The educational part involves the development of a Computing Initiative in the Materials Science and Engineering department at MIT. The investigator is contributing towards the integration of the teaching of modelling and computation in materials into both the undergraduate and graduate curricula. He is working with software and hardware vendors to support this initiative and is setting up a support structure for the instructors of the core materials classes. He is developing a new graduate course on computational materials science. The research component develops methods used to predict phase diagrams and defect arrangements in multi-component oxides. This approach makes it possible to predict defect arrangements in oxides. Two applications on which attention is being focused are stabilized zirconias and order-disorder in the pyrochlore-forming oxides. %%% As part of NSF's new CAREER program geared toward academically young investigators, this project involves both educational and research components. The educational part supports the development of a Computing Initiative in the Materials Science and Engineering department at MIT. The investigator is contributing towards the integration of the teaching of modelling and computation in materials into both the undergraduate and graduate curricula. He is working with software and hardware vendors to support this initiative and is setting up a support structure for the instructors of the core materials classes. He is developing a new graduate course on computational materials science. The research component develops methods used to predict phase diagrams and defect arrangements in multi-component oxides, which are both of scientific and technological interest. This approach makes it possible to predict defect arrangements in oxides. Such work leads to a better understanding of the relation between composition, the rmal treatment, and properties of a system, and therefore ultimately to better materials. ***
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DMREF: Collaborative Research: The Synthesis Genome: Data Mining for Synthesis of New Materials
  • 批准号:
    1922372
  • 项目类别:
    Standard Grant
  • 资助金额:
    $56.0万
  • 财政年份:
    2019
  • 负责人:
    Gerbrand Ceder
  • 依托单位:
SI2-SSI: Collaborative Research: A Computational Materials Data and Design Environment
CDI Type I: Collaborative Research: Integration of relational learning with ab-initio methods for prediction of material properties
FRG: Collaborative Research: Mathematical Modeling of Rechargeable Batteries
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