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Development and Application of Nonempirical Density-Functional Methods

Development and Application of Nonempirical Density-Functional Methods
非经验密度函数方法的开发和应用
批准号:
RGPIN-2020-06420
负责人:
Staroverov, Viktor
金额:
$4.66万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
翻译
Staroverov教授的团队发展了电子结构理论,这是量子科学的一个分支,用于理解化学键和预测化学反应的结果。他的专长是密度泛函理论(DFT),并在探索Kohn-Sham有效势(DFT的基本成分)方面处于全球公认的领先地位。由于该方法依赖于对未知交换相关泛函的不完全近似,因此DFT的力量尚未得到充分认识。本提案的首要目标是通过探索高度原创的计算精确Kohn-Sham势和近似交换相关泛函的新方法来提高DFT的能力。短期目标可分为三个相互关联的主题。计算方法。所有实际的DFT计算都使用基集,但Kohn-Sham有效势的计算公式似乎不存在基集,这导致了令人困惑的不一致性。为了解决这个问题,我们将开发一种前所未有的方法来构建在所有情况下都能正常工作的交换相关势。我们还将设计一个从有限基集密度计算交换相关势的数值优越程序,这将成为计算材料研究中使用的密度嵌入方案的一部分。最后,我们将探索一种新颖的想法,使密度泛函近似正确地适用于具有拉伸键的分子,这将大大扩展现有密度泛函在计算催化中的能力。理论框架。我们将开始系统地探索一种计算有限基集有效势的新方法,以消除用于该目的的现有方法的模糊性。我们还将通过推导数学测试来推进有效势理论,这将使DFT研究人员能够判断他们的模型是否在有限基集中计算分子性质在物理上是合理的。化学的应用程序。我们将解决功能材料化学中的两个难题:可以解释这些分子不同寻常的光学特性的甲氮甲酸硼染料的基态和电子激发态之间的本质区别是什么?为什么传统的密度泛函不能描述结晶硼氢化物?这些问题的答案将指导实验化学家制造高效的能量转换材料,并将开辟改进DFT的新途径。这项研究的结果对成千上万的科学家来说是很重要的,他们以软件包的形式使用DFT来解决理论、有机、无机和材料化学方面的问题。Staroverov教授的学员将获得一套特殊的技术和专业技能,并为他们在科学和技术领域具有高度影响力的职业生涯做好准备。
英文摘要
Prof. Staroverov's group develops electronic structure theory-a branch of quantum science used to understand chemical bonding and predict outcomes of chemical reactions. He specializes in the approach called density-functional theory (DFT) and holds a globally recognized leadership position in the exploration of Kohn-Sham effective potentials, the fundamental ingredients of DFT. The power of DFT is not yet fully realized because this method has to rely on imperfect approximations to the unknown exchange-correlation functional. The overriding goal of this proposal is to advance the capabilities of DFT by exploring highly original new ways of computing exact Kohn-Sham potentials and approximating the exchange-correlation functional. The short-term objectives fall within three interrelated themes. Computational methods. All practical DFT calculations use basis sets, but Kohn-Sham effective potentials are computed by formulas derived as if basis sets never existed, which leads to confusing inconsistencies. To address this issue, we will develop an unprecedented method for constructing exchange-correlation potentials that works properly in all situations. We will also devise a numerically superior procedure for computing exchange-correlation potentials from finite-basis-set densities, which will become part of density-embedding schemes used in computational materials research. Finally, we will explore a novel idea to make density-functional approximations work correctly for molecules with stretched bonds, which will drastically expand the power of existing density functionals in computational catalysis. Theoretical framework. We will initiate a systematic exploration of a new way to compute effective potentials in finite basis sets in order to eliminate the ambiguities of existing methods used for that purpose. We will also advance the theory of effective potentials by deriving mathematical tests which will enable DFT researchers to tell whether their models are physically sensible for calculating molecular properties in finite basis sets. Chemical applications. We will tackle two puzzles in the chemistry of functional materials: What are the essential differences between the ground and electronically excited states of boron-formazanate dyes that can explain the unusual optical properties of these molecules? Why do conventional density functionals fail for describing crystalline boron hydrides? Answers to these questions will guide experimental chemists making efficient energy conversion materials and will open up new ways of improving DFT. The outcomes of this research will be important to thousands of scientists who use DFT in the form of software packages to solve problems in theoretical, organic, inorganic, and materials chemistry. Prof. Staroverov's trainees will gain an exceptional set of technical and professional skills, and a formative experience preparing them for highly impactful careers in science and technology.
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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:
    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:
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:
    2018
  • 负责人:
    Staroverov, Viktor
  • 依托单位:
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    MATHIEULOUROCHLAURIERE
  • 依托单位: