Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Basis sets equations

In the OCT fomnilation, the TDSE written as a 2 x 2 matrix in a BO basis set, equation (Al.6.72). is introduced into the objective fiinctional with a Lagrange multiplier, x(x, t) [54]. The modified objective fiinctional may now be written as... [Pg.274]

Matrix theory tells us that this diagonalization process can be seen as a rotation of the nondiagonal matrix with reference to the original basis set (Equation 7.20) to the diagonal matrix with reference to a new basis set whose wavefunctions are linear combinations of the original ones, that is,... [Pg.118]

Electron Affinities Calculated Using Equation 34.23, with the aug-cc-pVTZ and cc-pVTZ Basis Sets (Equation 34.36), with the aug-cc-pVTZ Basis, Compared to the Experimental Affinity, A0... [Pg.552]

The momentum-space orthonormality relation for hydrogenlike Sturmian basis sets, equation) 17), can be shown to be closely related to the orthonormality relation for hyperspherical harmonics in a 4-dimensional space. This relationship follows from the results of Fock [5], who was able to solve the Schrodinger equation for the hydrogen atom in reciprocal space by projecting 3-dimensional p-space onto the surface of a 4-dimensional hypersphere with the mapping ... [Pg.21]

Fig. 7.5. Calculated (using ab initio pseudopotentials and a Gaussian basis set) equations of state (expressed in terms of total energy versus cell size in atomic volume) for various binary compounds with the P-Sn, rocksalt, and zincblende structures (a) a III-V compound, namely GaAs (b) a prototypical II-Vl compound (c) a prototypical I-VIl compound (after Chelikowsky and Burdett, 1986 reproduced with the publisher s permission). Fig. 7.5. Calculated (using ab initio pseudopotentials and a Gaussian basis set) equations of state (expressed in terms of total energy versus cell size in atomic volume) for various binary compounds with the P-Sn, rocksalt, and zincblende structures (a) a III-V compound, namely GaAs (b) a prototypical II-Vl compound (c) a prototypical I-VIl compound (after Chelikowsky and Burdett, 1986 reproduced with the publisher s permission).
In the limit of a complete basis set, this equation becomes equivalent to the Schrodinger equation. For a finite basis set, Equation (2) represents the best wave function (in the sense of the variation principle) that can be obtained. It is called the Full Cl (FCI) wave function. It serves as a calibration point for all approximate wave-function methods. It is obvious that many of the coefficients in Equation (3) are very small. We can consider most approximate MO models in quantum chemistry as approximations in one way or the other, where one attempts to include the most important of the configurations in Equation (2). We notice that the FCI wave function and... [Pg.520]

The representation of trial fiinctions as linear combinations of fixed basis fiinctions is perhaps the most connnon approach used in variational calculations optimization of the coefficients is often said to be an application of tire linear variational principle. Altliough some very accurate work on small atoms (notably helium and lithium) has been based on complicated trial functions with several nonlinear parameters, attempts to extend tliese calculations to larger atoms and molecules quickly runs into fonnidable difficulties (not the least of which is how to choose the fomi of the trial fiinction). Basis set expansions like that given by equation (A1.1.113) are much simpler to design, and the procedures required to obtain the coefficients that minimize are all easily carried out by computers. [Pg.38]

This equation may be solved by the same methods as used with the nonreactive coupled-channel equations (discussed later in section A3.11.4.2). Flowever, because F(p, p) changes rapidly with p, it is desirable to periodically change the expansion basis set ip. To do this we divide the range of p to be integrated into sectors and within each sector choose a (usually the midpoint) to define local eigenfimctions. The coiipled-chaimel equations just given then apply withm each sector, but at sector boundaries we change basis sets. Let y and 2 be the associated with adjacent sectors. Then, at the sector boundary p we require... [Pg.976]

Now let us return to the Kolm variational theory that was introduced in section A3.11.2.8. Here we demonstrate how equation (A3.11.46) may be evaluated using basis set expansions and linear algebra. This discussion will be restricted to scattering in one dimension, but generalization to multidimensional problems is very similar. [Pg.988]

Here is a complex time which is given by t = t- hl2kT. Methods for evaluating this equation have included path integrals [45], wavepackets [48, 49] and direct evaluation of the trace in square integrable basis sets [ ]. [Pg.994]

Since the vibrational eigenstates of the ground electronic state constitute an orthonomial basis set, tire off-diagonal matrix elements in equation (B 1.3.14) will vanish unless the ground state electronic polarizability depends on nuclear coordinates. (This is the Raman analogue of the requirement in infrared spectroscopy that, to observe a transition, the electronic dipole moment in the ground electronic state must properly vary with nuclear displacements from... [Pg.1192]

CIDNP involves the observation of diamagnetic products fonned from chemical reactions which have radical intemiediates. We first define the geminate radical pair (RP) as the two molecules which are bom in a radical reaction with a well defined phase relation (singlet or triplet) between their spins. Because the spin physics of the radical pair are a fiindamental part of any description of the origins of CIDNP, it is instmctive to begin with a discussion of the radical-pair spin Hamiltonian. The Hamiltonian can be used in conjunction with an appropriate basis set to obtain the energetics and populations of the RP spin states. A suitable Hamiltonian for a radical pair consisting of radicals 1 and 2 is shown in equation (B1.16.1) below [12]. [Pg.1593]

The LMTO method [58, 79] can be considered to be the linear version of the KKR teclmique. According to official LMTO historians, the method has now reached its third generation [79] the first starting with Andersen in 1975 [58], the second connnonly known as TB-LMTO. In the LMTO approach, the wavefimction is expanded in a basis of so-called muffin-tin orbitals. These orbitals are adapted to the potential by constmcting them from solutions of the radial Scln-ddinger equation so as to fomi a minimal basis set. Interstitial properties are represented by Hankel fiinctions, which means that, in contrast to the LAPW teclmique, the orbitals are localized in real space. The small basis set makes the method fast computationally, yet at the same time it restricts the accuracy. The localization of the basis fiinctions diminishes the quality of the description of the wavefimction in die interstitial region. [Pg.2213]

The ordinary BO approximate equations failed to predict the proper symmetry allowed transitions in the quasi-JT model whereas the extended BO equation either by including a vector potential in the system Hamiltonian or by multiplying a phase factor onto the basis set can reproduce the so-called exact results obtained by the two-surface diabatic calculation. Thus, the calculated hansition probabilities in the quasi-JT model using the extended BO equations clearly demonshate the GP effect. The multiplication of a phase factor with the adiabatic nuclear wave function is an approximate treatment when the position of the conical intersection does not coincide with the origin of the coordinate axis, as shown by the results of [60]. Moreover, even if the total energy of the system is far below the conical intersection point, transition probabilities in the JT model clearly indicate the importance of the extended BO equation and its necessity. [Pg.80]

This makes it desirable to define other representations in addition to the electronically adiabatic one [Eqs. (9)-(12)], in which the adiabatic electronic wave function basis set used in the Bom-Huang expansion (12) is replaced by another basis set of functions of the electronic coordinates. Such a different electronic basis set can be chosen so as to minimize the above mentioned gradient term. This term can initially be neglected in the solution of the / -electionic-state nuclear motion Schrodinger equation and reintroduced later using perturbative or other methods, if desired. This new basis set of electronic wave functions can also be made to depend parametrically, like their adiabatic counterparts, on the internal nuclear coordinates q that were defined after Eq. (8). This new electronic basis set is henceforth refened to as diabatic and, as is obvious, leads to an electronically diabatic representation that is not unique unlike the adiabatic one, which is unique by definition. [Pg.188]

U(qJ is referred to as an adiabatic-to-diabatic transformation (ADT) matrix. Its mathematical sbucture is discussed in detail in Section in.C. If the electronic wave functions in the adiabatic and diabatic representations are chosen to be real, as is normally the case, U(q ) is orthogonal and therefore has n n — l)/2 independent elements (or degrees of freedom). This transformation mabix U(qO can be chosen so as to yield a diabatic electronic basis set with desired properties, which can then be used to derive the diabatic nuclear motion Schrodinger equation. By using Eqs. (27) and (28) and the orthonormality of the diabatic and adiabatic electronic basis sets, we can relate the adiabatic and diabatic nuclear wave functions through the same n-dimensional unitary transformation matrix U(qx) according to... [Pg.189]

The curl condition given by Eq. (43) is in general not satisfied by the n x n matrix W (R ), if n does not span the full infinite basis set of adiabatic elechonic states and is huncated to include only a finite small number of these states. This tmncation is extremely convenient from a physical as well as computational point of view. In this case, since Eq. (42) does not have a solution, let us consider instead the equation obtained from it by replacing WC) (R t) by its longitudinal part... [Pg.194]

If the PES are known, the time-dependent Schrbdinger equation, Eq. (1), can in principle be solved directly using what are termed wavepacket dynamics [15-18]. Here, a time-independent basis set expansion is used to represent the wavepacket and the Hamiltonian. The evolution is then carried by the expansion coefficients. While providing a complete description of the system dynamics, these methods are restricted to the study of typically 3-6 degrees of freedom. Even the highly efficient multiconfiguration time-dependent Hartree (MCTDH) method [19,20], which uses a time-dependent basis set expansion, can handle no more than 30 degrees of freedom. [Pg.252]

To deal with the problem of using a superposition of functions, Heller also tried using Gaussian wave packets with a fixed width as a time-dependent basis set for the representation of the evolving nuclear wave function [23]. Each frozen Gaussian function evolves under classical equations of motion, and the phase is provided by the classical action along the path... [Pg.275]

The picture here is of uncoupled Gaussian functions roaming over the PES, driven by classical mechanics. The coefficients then add the quantum mechanics, building up the nuclear wavepacket from the Gaussian basis set. This makes the treatment of non-adiabatic effects simple, as the coefficients are driven by the Hamiltonian matrices, and these elements couple basis functions on different surfaces, allowing hansfer of population between the states. As a variational principle was used to derive these equations, the coefficients describe the time dependence of the wavepacket as accurately as possible using the given... [Pg.295]


See other pages where Basis sets equations is mentioned: [Pg.33]    [Pg.419]    [Pg.23]    [Pg.23]    [Pg.152]    [Pg.23]    [Pg.33]    [Pg.23]    [Pg.552]    [Pg.7]    [Pg.33]    [Pg.419]    [Pg.23]    [Pg.23]    [Pg.152]    [Pg.23]    [Pg.33]    [Pg.23]    [Pg.552]    [Pg.7]    [Pg.34]    [Pg.44]    [Pg.51]    [Pg.1031]    [Pg.1502]    [Pg.2050]    [Pg.2174]    [Pg.2202]    [Pg.2340]    [Pg.73]    [Pg.194]    [Pg.255]    [Pg.294]    [Pg.295]    [Pg.296]    [Pg.307]    [Pg.409]   
See also in sourсe #XX -- [ Pg.13 ]




SEARCH



Kohn-Sham equations numerical basis sets

Schrodinger equation basis sets

Schrodinger equation solution using Gaussian basis sets

© 2024 chempedia.info