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Computational density functional theory

Fig. 1 The workflow of structure-activity relationships involving conceptual and computational density functional theory through molecular frontier information (e.g., HOMO and LUMO), which are primarily employed as electronegativity (x) and chemical hardness (rf) indices and are then combined to form chemical power (x/2 y) and electrophilicity (x l2rj) reactivity measures. These values are correlated with observed biological and ecological activity (A) to provide the QSAR models (A ) to finally produce ligand progress curves (L) that provide a hierarchy of chemical reactivity principles involved in biological activity within a given DFT computational framework and species of interest... Fig. 1 The workflow of structure-activity relationships involving conceptual and computational density functional theory through molecular frontier information (e.g., HOMO and LUMO), which are primarily employed as electronegativity (x) and chemical hardness (rf) indices and are then combined to form chemical power (x/2 y) and electrophilicity (x l2rj) reactivity measures. These values are correlated with observed biological and ecological activity (A) to provide the QSAR models (A ) to finally produce ligand progress curves (L) that provide a hierarchy of chemical reactivity principles involved in biological activity within a given DFT computational framework and species of interest...
A new approach to stereoselective transfer hydrogenation of imines was the application of chiral phosphoric acid esters as organocatalysts [50-52]. The mechanism is based on the assumption that the imine is protonated by a chiral Bronsted acid, which acts as the catalyst. The resulting diastereomeric iminium ion pairs, which may be stabilized by hydrogen bonding, react with the Hantzsch dihydropyridine at different rates to give an enantiomerically enriched amine and a pyridine derivative [50-52]. The exact mechanism is still under discussion however computational density functional theory (DFT) studies ]53, 54] suggest a three-point contact model. ... [Pg.51]

Keywords Stereoelectronic effect Conformation Fluorine Computational Density functional theory... [Pg.291]

Hybrid Quantum Mechanical/Molecular Dynamics Simulations for Parallel Computers Density Functional Theory on Real-Space Multigrids. [Pg.365]

Pavelka, M., Shukla, M. K., Leszczynski, J., 8c Burda, J. V. (2008). Theoretical study of hydrated copper(II) interactions with guanine A computational density functional theory study. The Journal of Physical Chemistry A, 112, 256. [Pg.1306]

The use of the correspondence principle to define a quantum mechanical analog of the stress tensor in classical mechanics goes back to Schrodinger and Pauli [33, 34]. The interest of electronic structure theorists in the stress tensor has been episodic, starting with the rise of computational density functional theory in the... [Pg.107]

Poll reported a similar method to synthesize nitrogen-containing heterocycles via it-allyl-palladium intermediate [11]. It was worth noting that when the reaction is conducted in acetic acid rather than in methylene dichloride or terahydro-furan, a strong accelerating effect occurs in direct intramolecular allylic C(sp )-H cyclization (Scheme 2.6). Stoichiometric tests and computational Density Functional Theory analysis of the palladium reoxidation step provided an overview of the structural and energetic role of acetic acid in increasing the efficacy of the entire catalytic cycle (Scheme 2.6). [Pg.49]

The entropically driven disorder-order transition in hard-sphere fluids was originally discovered in computer simulations [58, 59]. The development of colloidal suspensions behaving as hard spheres (i.e., having negligible Hamaker constants, see Section VI-3) provided the means to experimentally verify the transition. Experimental data on the nucleation of hard-sphere colloidal crystals [60] allows one to extract the hard-sphere solid-liquid interfacial tension, 7 = 0.55 0.02k T/o, where a is the hard-sphere diameter [61]. This value agrees well with that found from density functional theory, 7 = 0.6 0.02k r/a 2 [21] (Section IX-2A). [Pg.337]

Frisch M J, G W Trucks and J R Cheeseman 1996. Systematic Model Chemistries Based on Density Functional Theory Comparison with Traditional Models and with Experiment. Theoretical and Computational Chemistry (Recent Developments and Applications of Modem Density Functional Theory) 4 679-707. [Pg.181]

Density functional theory (DFT) has become very popular in recent years. This is justified based on the pragmatic observation that it is less computationally intensive than other methods with similar accuracy. This theory has been developed more recently than other ah initio methods. Because of this, there are classes of problems not yet explored with this theory, making it all the more crucial to test the accuracy of the method before applying it to unknown systems. [Pg.42]

Davidsou-Fletcher-Powell (DFP) a geometry optimization algorithm De Novo algorithms algorithms that apply artificial intelligence or rational techniques to solving chemical problems density functional theory (DFT) a computational method based on the total electron density... [Pg.362]

In 1985 Car and Parrinello invented a method [111-113] in which molecular dynamics (MD) methods are combined with first-principles computations such that the interatomic forces due to the electronic degrees of freedom are computed by density functional theory [114-116] and the statistical properties by the MD method. This method and related ab initio simulations have been successfully applied to carbon [117], silicon [118-120], copper [121], surface reconstruction [122-128], atomic clusters [129-133], molecular crystals [134], the epitaxial growth of metals [135-140], and many other systems for a review see Ref. 113. [Pg.82]

Fig. 10(a) presents a comparison of computer simulation data with the predictions of both density functional theories presented above [144]. The computations have been carried out for e /k T = 7 and for a bulk fluid density equal to pi, = 0.2098. One can see that the contact profiles, p(z = 0), obtained by different methods are quite similar and approximately equal to 0.5. We realize that the surface effects extend over a wide region, despite the very simple and purely repulsive character of the particle-wall potential. However, the theory of Segura et al. [38,39] underestimates slightly the range of the surface zone. On the other hand, the modified Meister-Kroll-Groot theory [145] leads to a more correct picture. [Pg.216]

Prior to the widespread usage of methods based on Density Functional Theory, the MP2 method was one of the least expensive ways to improve on Hartree-Fock and it was thus often the first correlation method to be applied to new problems. It can successfully model a wide variety of systems, and MP2 geometries are usually quite accurate. Thus, MP2 remains a very useful tool in a computational chemist s toolbox. We ll see several examples of its utility in the exercises. [Pg.116]

Chapter 6, Selecting an Appropriate Theoretical Method, discusses the model chemistry concept introduced in Chapter 1 in detail. It covers the strengths, computational cost and limitations of a variety of popular methods, beginning with semi-empirical models and continuing through Hartree-Fock, Density Functional Theory, and electron correlation methods. [Pg.317]

Vibrational Spectra Many of the papers quoted below deal with the determination of vibrational spectra. The method of choice is B3-LYP density functional theory. In most cases, MP2 vibrational spectra are less accurate. In order to allow for a comparison between computed frequencies within the harmonic approximation and anharmonic experimental fundamentals, calculated frequencies should be scaled by an empirical factor. This procedure accounts for systematic errors and improves the results considerably. The easiest procedure is to scale all frequencies by the same factor, e.g., 0.963 for B3-LYP/6-31G computed frequencies [95JPC3093]. A more sophisticated but still pragmatic approach is the SQM method [83JA7073], in which the underlying force constants (in internal coordinates) are scaled by different scaling factors. [Pg.6]

Because of the complexity of the pathway, the sensitivity of the reagents involved, the heterogeneous nature of the reaction, and the limitations of modern experimental techniques and instrumentation, it is not surprising that a compelling picture of the mechanism of the Simmons-Smith reaction has yet to emerge. In recent years, the application of computational techniques to the study of the mechanism has become important. Enabling theoretical advances, namely the implementation of density functional theory, have finally made this complex system amenable to calculation. These studies not only provide support for earlier conclusions regarding the reaction mechanism, but they have also opened new mechanistic possibilities to view. [Pg.140]

The pseudopotential density-functional technique is used to calculate total energies, forces on atoms and stress tensors as described in Ref. 13 and implemented in the computer code CASTEP. CASTEP uses a plane-wave basis set to expand wave-functions and a preconditioned conjugate gradient scheme to solve the density-functional theory (DFT) equations iteratively. Brillouin zone integration is carried out via the special points scheme by Monkhorst and Pack. The nonlocal pseudopotentials in Kleynman-Bylander form were optimized in order to achieve the best convergence with respect to the basis set size. 5... [Pg.20]


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