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Quantum methods

Each time step thus involves a calculation of the effect of the Hamilton operator acting on the wave function. In fully quantum methods the wave function is often represented on a grid of points, these being the equivalent of basis functions for an electronic wave function. The effect of the potential energy operator is easy to evaluate, as it just involves a multiplication of the potential at each point with the value of the wave function. The kinetic energy operator, however, involves the derivative of the wave function, and a direct evaluation would require a very dense set of grid points for an accurate representation. [Pg.389]

The requirement of an accurate global energy surface is even more important for a quantum mechanical treatment than for the classical case, since the wave function depends on a finite part of the surface, not just a single point. The updating of the positions and velocities is computationally inexpensive in the classical case, once the [Pg.389]

SIMULATIONS, TIME-DEPENDENT METHODS AND SOLVATION MODELS [Pg.390]

Each time step thus involves a calculation of the effect of the Hamilton operator acting on the wave function. In fully quantum methods the wave function is often represented on a grid of points, these being the equivalent of basis functions for an electronic wave [Pg.389]

The main problem in dynamical studies is the requirement of a continuous energy surface over a wide range of geometries. A simulation will normally be done with specification of an energy (or a temperature), and a surface must thus be available for all [Pg.390]

The advent of faster, more powerful computing facilities over the past five years has seen the increased use of ab initio and other molecular orbital techniques applied to more complex problems, including radical cyclization reactions. [Pg.345]

S-endo cyclization because of a strong conformational preference for the s-trans form of 49 [21]. It is interesting to note that both force field methods are unable to correctly predict the outcome in this and several other similar cases. The ROMP2/ [Pg.346]

3-21G//ROHF/3-21G calculations are in excellent qualitative agreement with the experimental observation that bromide 50 affords the tricyclic lactone 51 in good yield upon treatment with Bu3SnH [21 ]. [Pg.346]

In this last example, in an attempt to provide a definitive answer to controversial questions surrounding the reversibility of aminyl radical ring-closures, Tsanaktsidis [Pg.347]

It is interesting to compare these results for 63 with those of an earlier study in which UMP2/6-31G //UHF/6-31G calculations predict that the 5-exo mode of cyclization of 63 has an energy barrier of 60 kJ moU, is preferred over the analogous 6-endo process by 27 kJ mol and that this reaction is highly exothermic (62kJmol- ) [26]. [Pg.348]


Makri N 1999 Time dependent quantum methods for large systems Ann. Rev. Phys. Chem. 50 167... [Pg.557]

Another topic that received increasing attention is the incorporation of quantum methods into dynamic simulations. True quantum dynamics for hundreds of particles is beyond any foreseeable computational capability, and only approximations are viable. We should distinguish ... [Pg.4]

Hi) The use of quantum methods to obtain correct statistical static (but not dynamic) averages for heavy quantum particles. In this category path-integral methods were developed on the basis of Feynman s path... [Pg.4]

While simulations reach into larger time spans, the inaccuracies of force fields become more apparent on the one hand properties based on free energies, which were never used for parametrization, are computed more accurately and discrepancies show up on the other hand longer simulations, particularly of proteins, show more subtle discrepancies that only appear after nanoseconds. Thus force fields are under constant revision as far as their parameters are concerned, and this process will continue. Unfortunately the form of the potentials is hardly considered and the refinement leads to an increasing number of distinct atom types with a proliferating number of parameters and a severe detoriation of transferability. The increased use of quantum mechanics to derive potentials will not really improve this situation ab initio quantum mechanics is not reliable enough on the level of kT, and on-the-fly use of quantum methods to derive forces, as in the Car-Parrinello method, is not likely to be applicable to very large systems in the foreseeable future. [Pg.8]

Finally, the parametrization of the van der Waals part of the QM-MM interaction must be considered. This applies to all QM-MM implementations irrespective of the quantum method being employed. From Eq. (9) it can be seen that each quantum atom needs to have two Lennard-Jones parameters associated with it in order to have a van der Walls interaction with classical atoms. Generally, there are two approaches to this problem. The first is to derive a set of parameters, e, and G, for each common atom type and then to use this standard set for any study that requires a QM-MM study. This is the most common aproach, and the derived Lennard-Jones parameters for the quantum atoms are simply the parameters found in the MM force field for the analogous atom types. For example, a study that employed a QM-MM method implemented in the program CHARMM [48] would use the appropriate Lennard-Jones parameters of the CHARMM force field [52] for the atoms in the quantum region. [Pg.225]

From the experimental results and theoretical approaches we learn that even the simplest interface investigated in electrochemistry is still a very complicated system. To describe the structure of this interface we have to tackle several difficulties. It is a many-component system. Between the components there are different kinds of interactions. Some of them have a long range while others are short ranged but very strong. In addition, if the solution side can be treated by using classical statistical mechanics the description of the metal side requires the use of quantum methods. The main feature of the experimental quantities, e.g., differential capacitance, is their nonlinear dependence on the polarization of the electrode. There are such sophisticated phenomena as ionic solvation and electrostriction invoked in the attempts of interpretation of this nonlinear behavior [2]. [Pg.801]

Combinatorial computational chemistry first principles quantum methods as a tool for industrial innovations... [Pg.5]

Despite advent of theoretical methods and techniques and faster computers, no single theoretical method seems to be capable of reliable computational studies of reactivities of biocatalysts. Ab initio quantum mechanical (QM) methods may be accurate but are still too expensive to apply to large systems like biocatalysts. Semi-empirical quantum methods are not as accurate but are faster, but may not be fast enough for long time simulation of large molecular systems. Molecular mechanics (MM) force field methods are not usually capable of dealing with bond-breaking and formation... [Pg.21]

The aim of this Chapter is to review a method by which fluorescence properties of organic dyes can, in general, be predicted and understood at a microscopic (nm scale) by interfacing quantum methods with classical molecular dynamics (MD) methods. Some review of our extensive applications [1] of this method to the widely exploited intrinsic fluorescence probe in proteins, the amino acid tryptophan (Trp) will be followed by a discussion of electrochromic membrane voltagesensing dyes. [Pg.311]

Based on the same underlying principles as the molecular-based quantum methods, solid-state DFT represents the bulk material using periodic boundary conditions. The imposition of these boundary conditions means that it becomes more efficient to expand the electron density in periodic functions such as plane waves, rather than atom-based functions as in the molecular case. The efficiency of the calculations is further enhanced by the use of pseudo-potentials to represent the core electrons and to make the changes in the electron density... [Pg.690]

Finally, in the quantum approximation the radiation is no longer treated classically (i.e., using Maxwell s equation), and so both radiation and matter are described by quantum methods. For most of the features in the spectra of solids, this approach is not necessary and it will not be invoked. However, this approximation also leads to important aspects, such as zero-point fluctuations, which are relevant in the theory of lasers and Optical Parametic Oscillators (Chapter 3). [Pg.8]

The most satisfactory situation for making an extrapolation of rate data to the true threshold arises when the threshold is uncertain, but we can confidently calculate the functional form of the rate-energy curve from accurate kinetic theory. For small systems, it is feasible to calculate dissociation rates by quantum methods, but this is not yet feasible for the systems of interest to us. Various approaches to variational transition-state theory (VTST) provide classical or semiclassical calculations that are feasible for large systems and seem to be accurate when carefully... [Pg.116]

Recent advances in semiempirical quantum methods (see the chapter... [Pg.2]

Aromatic substitution reactions are often complicated and multistep processes. A correlation, however, in many cases can be found between the charged attacking species and the electron density distribution in the molecule attacked during electrophilic and nucleoph c substitution. No such correlation is expected in radical substitution where the attacking particles are neutral, rather a correlation between the reactivities of separate bonds and a free valency index of the bond order. This allows the prediction of the most reactive bonds. Such an approach has been used by researchers who applied quantum calculations to estimate the reactivities of the isomeric thienothiophenes and to compare them with thiophene or naphthalene. " Until recently quantum methods for studying reactivities of aromatics and heteroaromatics were developed mainly in the r-electron approximation (see, for example, Streitwieser and Zahradnik ). The M orbitals of a sulfur atom were shown not to contribute substantially to calculations of dipole moments, polarographic reduction potentials, spin-density distribution, ... [Pg.186]


See other pages where Quantum methods is mentioned: [Pg.1460]    [Pg.4]    [Pg.27]    [Pg.853]    [Pg.389]    [Pg.389]    [Pg.390]    [Pg.31]    [Pg.228]    [Pg.12]    [Pg.184]    [Pg.184]    [Pg.46]    [Pg.535]    [Pg.4]    [Pg.389]    [Pg.415]    [Pg.90]    [Pg.52]    [Pg.175]    [Pg.30]    [Pg.356]    [Pg.356]    [Pg.71]    [Pg.399]    [Pg.171]    [Pg.3]    [Pg.37]    [Pg.25]    [Pg.15]   
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See also in sourсe #XX -- [ Pg.254 ]

See also in sourсe #XX -- [ Pg.174 ]




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Ab-initio quantum chemical methods

Advanced ab initio Methods, Density Functional Theory and Solid-state Quantum Mechanics

Ah initio Quantum Chemical Methods

Applications of Quantum Chemical Methods to Tautomeric Equilibria

Applications of quantum mechanical methods

Approximate methods of quantum mechanics

Approximate quantum chemical methods NDO and EHT

Approximation methods quantum-mechanical

Benchmarking quantum control methods

Capabilities of quantum-mechanical methods

Carlo Quantum Methods for Electronic Structure

Computational quantum chemical methods

Computational quantum chemical methods INDEX

Computational quantum chemistry methods

Computational quantum mechanics semi-empirical methods

Dissipative Quantum Methods

Examples of Quantum Chemical Methods

First-principles quantum chemical methods

Fixed-node quantum Monte Carlo method

Free Energy Perturbation Methods with Quantum Energies

Full-quantum dynamics method

Gaussian methods quantum dynamics

Hartree-Fock quantum method

Hartree-Fock quantum-mechanical method

Hybrid Quantum-Mechanical and Molecular echanical Methods

INDO quantum chemical method

Materials properties quantum mechanical methods

Mean-field trajectory method nonadiabatic quantum dynamics

Method nonempirical quantum

Mixed quantum-classical methods

Mixed quantum-classical methods large systems

Mixed quantum-classical methods mean-field trajectory

Molecular descriptor quantum chemical method

Molecular quantum similarity methods

Multiconfiguration time-dependent Hartree MCTDH) method, quantum

Multiconfigurational quantum methods

Optimization of MIP performance through quantum chemical methods

Overview of quantum reactive methods and remarks on the coupled equations problem

PCILO quantum chemical method

Path integral quantum Monte Carlo method

Path integral quantum Monte Carlo method PIQMC)

Perturbation method, in quantum

Perturbation method, in quantum mechanics

Photochemical methods quantum yield

Progress in Quantum Chemical Methods

Proteins quantum chemical methods

Proton transfer quantum methods

QMSTAT quantum chemical methods

Quantitative structure-property quantum chemical method

Quantum Chemistry Methods for the Prediction of Molecular Thermochemistry

Quantum Consistent force field method

Quantum ElectroDynamics methods

Quantum IMOMM method

Quantum Mechanical Methods for Predicting Nonlinear Optical Properties

Quantum Mechanical Methods for Structure Elucidation

Quantum Mechanical Methods for Studying the Solid State

Quantum Mechanics-Based Computational Methods

Quantum Monte Carlo method

Quantum Monte Carlo method applications

Quantum Monte Carlo method correlation energy

Quantum Monte Carlo method diffusion

Quantum Monte Carlo method excited states

Quantum Monte Carlo method fixed-node approximation

Quantum Monte Carlo method importance sampling

Quantum Monte Carlo method localization function

Quantum Monte Carlo method precision

Quantum Monte Carlo method trial functions

Quantum and Molecular Mechanical Methods

Quantum approximate method

Quantum chemical calculations semiempirical methods

Quantum chemical method/calculation

Quantum chemical methods

Quantum chemical methods basis sets

Quantum chemical methods density matrix elements

Quantum chemical methods shielding tensor

Quantum chemical methods, computational applicability

Quantum chemistry Ritz method

Quantum chemistry gradient methods

Quantum chemistry methods

Quantum chemistry methods approximations

Quantum chemistry methods basis sets

Quantum chemistry methods correlation models

Quantum chemistry methods semi-empirical models

Quantum chemistry methods solvent effects

Quantum chemistry semiempirical methods

Quantum computational methods

Quantum conductivity method

Quantum defect orbital calculation method

Quantum defect orbital method

Quantum density functional methods

Quantum dynamics real wave packet method

Quantum exact method

Quantum impact-parameter method

Quantum many-body dynamics method

Quantum mechanical method

Quantum mechanical methods, calculation

Quantum mechanical methods, calculation widths

Quantum mechanical perturbation method

Quantum mechanical/molecular mechanics QM/MM) methods

Quantum mechanics A mathematical method

Quantum mechanics Hartree-Fock method

Quantum mechanics based methods

Quantum mechanics coupled cluster methods

Quantum mechanics electron correlation methods

Quantum mechanics generalized valence bond method

Quantum mechanics method definition

Quantum mechanics methods

Quantum mechanics methods approximation

Quantum mechanics methods electronic structure-based explicit

Quantum mechanics methods potential energy surface based

Quantum mechanics methods reaction

Quantum mechanics methods real potential

Quantum mechanics methods simulations

Quantum mechanics self-consistent field methods

Quantum mechanics semi-empirical methods

Quantum mechanics semiempirical methods

Quantum mechanics wave-function-based methods

Quantum methods using potential energy surfaces

Quantum theory, relativistic methods

Quantum wave packets methods

Quantum wavepacket methods

Quantum-Onsager method

Quantum-chemical Dynamics with the Slater-Roothaan Method

Quantum-chemical methods poly

Quantum-chemical methods valence bond method

Quantum-chemical methods, for molecular

Quantum-classical Liouville method

Quantum-classical method

Quantum-classical method separability assumption

Quantum-mechanical charge field method

Quantum-mechanical computer methods

Range of Quantum Mechanics Methods

Reactive force-field quantum chemical methods

Real wave packet method, quantum

Relativistic quantum defect orbital method

Roots of Self-Consistent Methods in Quantum Chemistry

Scaled quantum mechanical force field method

Scaled quantum mechanical methods

Scaling Methods in Quantum Chemistry

Self-consistent field method quantum mechanical

Semi-empirical quantum mechanical methods

Semiempirical quantum chemical methods

Semiempirical quantum mechanical methods

Semiempirical quantum methods

Simulation methods quantum effects

Simulation techniques quantum methods

Statistical methods and quantum chaology

Structure simulation models using quantum mechanical method

Structure-activity methods quantum chemistry

Surface-hopping method, nonadiabatic quantum

Surface-hopping method, nonadiabatic quantum dynamics

Surface-hopping method, nonadiabatic quantum potential energy surfaces

The Diffusion Quantum Monte Carlo Method

The Future of Quantum Mechanical Methods in Chemoinformatics

The Methods of Quantum Chemistry

The Realization of Direct Methods in Quantum Chemistry

Theory quantum mechanics methods

Thermodynamic properties, quantum fluids methods

Using Quantum Mechanics Methods

Variation method, in quantum

Variational quantum Monte Carlo method

Vibrational methods diffusion quantum Monte Carlo

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