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Development, evaluation, and application of improved DFT methods to predict NMR parameters

Development, evaluation, and application of improved DFT methods to predict NMR parameters
开发、评估和应用改进的 DFT 方法来预测 NMR 参数
批准号:
501887637
负责人:
Professor Dr. Martin Kaupp
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
--
资助国家:
德国
项目状态:
未结题
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中文摘要
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英文摘要
In view of the great importance of NMR spectroscopy in wide areas of the natural sciences, the quantum-chemical computation of its parameters gets a fundamental role. Recently suggested approaches to predict complete NMR spectra from first principles suffer so far still from too inaccurate chemical shift predictions for complex molecules. A main goal of this proposal is to develop, implement and evaluate improved DFT methods for this purpose. This holds also for the computation of spin-spin coupling constants. In particular, newly developed hyper-GGA functionals and current-density-functional implementations of meta-GGA functionals shall be evaluated for their potential of predicting accurately NMR spectra of both main-group and transition-metal nuclei as well as a wide variety of electronic-structure situations, encompassing light and heavy atoms. Combined with adequate treatments of conformer/rotamer ensembles and of environmental effects, these improved methods shall be used to compute entire NMR spectra with improved accuracy.
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Quantum-chemical studies of electron transfer and spectroscopy of mixed-valence systems
Quantum chemical studies of electronic structure and electron paramagnetic resonance parameters of multinuclear manganese complexes: modelling the water-oxidizing cluster of photosystem II
Analysis of charge distributions in polar metal-ligand bonds
Development and implementation of modern density functional methods for property calculations
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