课题基金 / 基金详情

Accurate Nonempirical Density-Functional Methods with Applications

Accurate Nonempirical Density-Functional Methods with Applications
准确的非经验密度泛函方法及其应用
批准号:
RGPIN-2015-04814
负责人:
Staroverov, Viktor
金额:
$5.39万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

项目摘要

项目成果

Staroverov, Viktor的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Quantum chemistry is a highly specialized yet critically important branch of chemical research. The most visible outcomes of the work of quantum chemists are predictive mathematical models and computer programs which are used as tools by thousands of researchers in industry and academia to unravel the intricacies of chemical processes, predict physical properties of matter under normal and extreme conditions, design new materials, and search for molecules with target medicinal properties. Our group is one of those that develop such tools; we specialize in a particular quantum-mechanical technique called density-functional theory (DFT). Over the previous granting period, we have advanced an unconventional approach to DFT in which one directly approximates effective one-electron potentials rather than energy functionals. In the next five years, we will take the potential-based DFT to a new level of accuracy and utility by bridging it with nonempirical wavefunction methods. In particular, we will (1) develop conceptually new methods for constructing exchange-correlation potentials which will enable researchers to devise better density-functional and multiscale methods for use in computer simulations of materials; (2) employ our new tool called the average local electron energy to obtain a better understanding of the relation between chemical structure and properties; (3) explore a special reduced form of the Schrödinger equation to uncover fundamental connections between wavefunction methods and DFT; (4) devise a new density-functional approach for studying time-dependent many-electron phenomena; (5) test new ideas to overcome limitations of existing approximate functionals; (6) construct accurate density functionals from model potentials. Tangible outcomes of the proposed research will include new computational methods for investigation of reaction mechanisms, analysis of quantitative structure-activity relationships, and for applications in materials science, attosecond spectroscopy, and other fields. In terms of highly qualified personnel training, the research will form the basis for 10 graduate and 5 undergraduate theses and will contribute expertise to collaborations across interdisciplinary boundaries.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Development and Application of Nonempirical Density-Functional Methods
  • 批准号:
    RGPIN-2020-06420
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2022
  • 负责人:
    Staroverov, Viktor
  • 依托单位:
Development and Application of Nonempirical Density-Functional Methods
  • 批准号:
    RGPIN-2020-06420
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2021
  • 负责人:
    Staroverov, Viktor
  • 依托单位:
Development and Application of Nonempirical Density-Functional Methods
  • 批准号:
    RGPIN-2020-06420
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2020
  • 负责人:
    Staroverov, Viktor
  • 依托单位:
Accurate Nonempirical Density-Functional Methods with Applications
  • 批准号:
    RGPIN-2015-04814
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.39万
  • 财政年份:
    2019
  • 负责人:
    Staroverov, Viktor
  • 依托单位:
海外基金