Activation-strain (ATS) modelAmsterdam Density Functional (ADF)Kohn–Sham molecular orbital (MO) theoryrelativistic ZORA methodtime-dependent density functional theory (TDDFT)
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Abstract (AI)
Abstract We present the theoretical and technical foundations of the Amsterdam Density Functional (ADF) program with a survey of the characteristics of the code (numerical integration, density fitting for the Coulomb potential, and STO basis functions). Recent developments enhance the efficiency of ADF (e.g., parallelization, near order‐N scaling, QM/MM) and its functionality (e.g., NMR chemical shifts, COSMO solvent effects, ZORA relativistic method, excitation energies, frequency‐dependent (hyper)polarizabilities, atomic VDD charges). In the Applications section we discuss the physical model of the electronic structure and the chemical bond, i.e., the Kohn–Sham molecular orbital (MO) theory, and illustrate the power of the Kohn–Sham MO model in conjunction with the ADF‐typical fragment approach to quantitatively understand and predict chemical phenomena. We review the “Activation‐strain TS interaction” (ATS) model of chemical reactivity as a conceptual framework for understanding how activation barriers of various types of (competing) reaction mechanisms arise and how they may be controlled, for example, in organic chemistry or homogeneous catalysis. Finally, we include a brief discussion of exemplary applications in the field of biochemistry (structure and bonding of DNA) and of time‐dependent density functional theory (TDDFT) to indicate how this development further reinforces the ADF tools for the analysis of chemical phenomena. © 2001 John Wiley & Sons, Inc. J Comput Chem 22: 931–967, 2001
Key Findings
1
ADF applications extend to biochemical problems (DNA structure and bonding) and TDDFT for analysis of excited-state phenomena.
2
ADF program foundations and characteristics are presented, including numerical integration, density fitting for Coulomb potential, and STO basis functions.
3
New ADF functionality includes NMR chemical shifts, COSMO solvent effects, ZORA relativistic method, excitation energies, frequency-dependent (hyper)polarizabilities, and atomic VDD charges.
4
Recent ADF developments improve efficiency: parallelization, near order-N scaling, and QM/MM capabilities.
5
The Activation-strain TS interaction (ATS) model is reviewed as a framework to explain and control activation barriers in organic chemistry and homogeneous catalysis.
6
The Kohn–Sham molecular orbital model combined with ADF's fragment approach enables quantitative understanding and prediction of chemical phenomena.
Research Object
Amsterdam Density Functional (ADF) program and its computational framework
Research Subject
Theoretical and technical foundations, algorithmic features, recent efficiency/functionality developments, and application of ADF to model electronic structure, chemical bonding, and chemical reactivity (including ATS model, TDDFT, QM/MM, ZORA, COSMO, NMR shifts, excitation energies, polarizabilities)
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2001-04-23
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