Development and Application of Nonempirical Density-Functional Methods
Development and Application of Nonempirical Density-Functional Methods
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:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
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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
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批准号:RGPIN-2020-06420
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项目类别:Discovery Grants Program - Individual
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资助金额:$4.66万
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财政年份:2021
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负责人:Staroverov, Viktor
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依托单位:
Development and Application of Nonempirical Density-Functional Methods
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批准号:RGPIN-2020-06420
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项目类别:Discovery Grants Program - Individual
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资助金额:$4.66万
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财政年份:2020
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负责人:Staroverov, Viktor
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依托单位:
Accurate Nonempirical Density-Functional Methods with Applications
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批准号:RGPIN-2015-04814
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项目类别:Discovery Grants Program - Individual
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资助金额:$5.39万
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财政年份:2019
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负责人:Staroverov, Viktor
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依托单位:
Accurate Nonempirical Density-Functional Methods with Applications
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批准号:RGPIN-2015-04814
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项目类别:Discovery Grants Program - Individual
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资助金额:$5.39万
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财政年份:2018
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负责人:Staroverov, Viktor
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依托单位:
Accurate Nonempirical Density-Functional Methods with Applications
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批准号:477791-2015
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项目类别:Discovery Grants Program - Accelerator Supplements
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资助金额:$2.91万
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财政年份:2017
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负责人:Staroverov, Viktor
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依托单位:
Accurate Nonempirical Density-Functional Methods with Applications
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批准号:RGPIN-2015-04814
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项目类别:Discovery Grants Program - Individual
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资助金额:$5.39万
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财政年份:2017
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负责人:Staroverov, Viktor
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依托单位:
Accurate Nonempirical Density-Functional Methods with Applications
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批准号:RGPIN-2015-04814
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项目类别:Discovery Grants Program - Individual
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资助金额:$5.39万
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财政年份:2016
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负责人:Staroverov, Viktor
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依托单位:
Accurate Nonempirical Density-Functional Methods with Applications
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批准号:477791-2015
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项目类别:Discovery Grants Program - Accelerator Supplements
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资助金额:$2.91万
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财政年份:2016
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负责人:Staroverov, Viktor
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依托单位:
Accurate Nonempirical Density-Functional Methods with Applications
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批准号:477791-2015
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项目类别:Discovery Grants Program - Accelerator Supplements
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资助金额:$2.91万
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财政年份:2015
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负责人:Staroverov, Viktor
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依托单位:
Accurate Nonempirical Density-Functional Methods with Applications
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批准号:RGPIN-2015-04814
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项目类别:Discovery Grants Program - Individual
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资助金额:$5.39万
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财政年份:2015
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负责人:Staroverov, Viktor
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依托单位:
Advances in potential-driven density-fuctional theory
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批准号:341929-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.64万
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财政年份:2014
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负责人:Staroverov, Viktor
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依托单位:
Advances in potential-driven density-fuctional theory
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批准号:341929-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.64万
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财政年份:2013
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负责人:Staroverov, Viktor
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依托单位:
Advances in potential-driven density-fuctional theory
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批准号:341929-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.64万
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财政年份:2012
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负责人:Staroverov, Viktor
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依托单位:
Advances in potential-driven density-fuctional theory
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批准号:341929-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.64万
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财政年份:2011
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负责人:Staroverov, Viktor
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依托单位:
Advances in potential-driven density-fuctional theory
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批准号:341929-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.64万
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财政年份:2010
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负责人:Staroverov, Viktor
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依托单位:
New computational methods for chemistry and materials research
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批准号:341929-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.29万
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财政年份:2009
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负责人:Staroverov, Viktor
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依托单位:
New computational methods for chemistry and materials research
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批准号:341929-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.29万
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财政年份:2008
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负责人:Staroverov, Viktor
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依托单位:
New computational methods for chemistry and materials research
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批准号:341929-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.29万
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财政年份:2007
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负责人:Staroverov, Viktor
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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
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批准号:
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项目类别:省市级项目
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资助金额:--
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批准年份:2025
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负责人:MATHIEULOUROCHLAURIERE
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依托单位: