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Many-particle

It is admittedly inconsistent to begin a section on many-particle quantiun mechanics by discussing a problem that can be treated as a single particle. Flowever, the hydrogen atom and atomic ions in which only one... [Pg.22]

It should be mentioned that the single-particle Flamiltonians in general have an infinite number of solutions, so that an uncountable number of wavefiinctions [/ can be generated from them. Very often, interest is focused on the ground state of many-particle systems. Within the independent-particle approximation, this state can be represented by simply assigning each particle to the lowest-lying energy level. If a calculation is... [Pg.26]

The corresponding fiinctions i-, Xj etc. then define what are known as the normal coordinates of vibration, and the Hamiltonian can be written in tenns of these in precisely the fonn given by equation (AT 1.69). witli the caveat that each tenn refers not to the coordinates of a single particle, but rather to independent coordinates that involve the collective motion of many particles. An additional distinction is that treatment of the vibrational problem does not involve the complications of antisymmetry associated with identical fennions and the Pauli exclusion prmciple. Products of the nonnal coordinate fiinctions neveitlieless describe all vibrational states of the molecule (both ground and excited) in very much the same way that the product states of single-electron fiinctions describe the electronic states, although it must be emphasized that one model is based on independent motion and the other on collective motion, which are qualitatively very different. Neither model faithfully represents reality, but each serves as an extremely usefiil conceptual model and a basis for more accurate calculations. [Pg.35]

Figure B3.2.1. The band structure of hexagonal GaN, calculated using EHT-TB parameters detemiined by a genetic algorithm [23]. The target energies are indicated by crosses. The target band structure has been calculated with an ab initio pseudopotential method using a quasiparticle approach to include many-particle corrections [194]. Figure B3.2.1. The band structure of hexagonal GaN, calculated using EHT-TB parameters detemiined by a genetic algorithm [23]. The target energies are indicated by crosses. The target band structure has been calculated with an ab initio pseudopotential method using a quasiparticle approach to include many-particle corrections [194].
The diversity of approaches based on HF (section B3.2.3.4) is small at present compared to the diversity found for DFT. For solids, HF appears to yield results inferior to DFT due to the neglect of electron correlation, but being a genuine many-particle theory it offers the possibility for consistent corrections, in contrast to DFT. Finally, the QMC teclmiqiies (section B3.2.3.41 hold promise for genuine many-particle calculations, yet they are still far from able to offer the same quantities for the same range of materials and geometries as the theories mentioned before. With this wide range of methods now introduced, we will look at their application to chemisorption on solid surfaces. [Pg.2221]

For refined variants of this method in the context of many-particle systems, see [15, 12]. [Pg.285]

The quantum degrees of freedom are described by a wave function /) = (x, t). It obeys Schrodinger s equation with a parameterized coupling potential V which depends on the location q = q[t) of the classical particles. This location q t) is the solution of a classical Hamiltonian equation of motion in which the time-dependent potential arises from the expectation value of V with regard to tp. For simplicity of notation, we herein restrict the discussion to the case of only two interacting particles. Nevertheless, all the following considerations can be extended to arbitrary many particles or degrees of freedom. [Pg.397]

Procedure. Compute the slope of the function by a linear least squares procedure and obtain a value of Boltzmann s constant. How many particles do you expect to find 125 pm above the reference point Take the uncertainty you have calculated for the slope, as the uncertainty in k. Is the modem value of = 1.381 x 10 within these enor limits ... [Pg.75]

Suppose you are to analyze a solid where the particles containing analyte represent only 1 X 10 % of the population. How many particles must be collected to give a relative sampling variance of 1% ... [Pg.187]

Venturi scmbbers can be operated at 2.5 kPa (19 mm Hg) to coUect many particles coarser than 1 p.m efficiently. Smaller particles often require a pressure drop of 7.5—10 kPa (56—75 mm Hg). When most of the particulates are smaller than 0.5 p.m and are hydrophobic, venturis have been operated at pressure drops from 25 to 32.5 kPa (187—244 mm Hg). Water injection rate is typicaUy 0.67—1.4 m of Hquid per 1000 m of gas, although rates as high as 2.7 are used. Increasing water rates improves coUection efficiency. Many venturis contain louvers to vary throat cross section and pressure drop with changes in system gas flow. Venturi scmbbers can be made in various shapes with reasonably similar characteristics. Any device that causes contact of Hquid and gas at high velocity and pressure drop across an accelerating orifice wiU act much like a venturi scmbber. A flooded-disk scmbber in which the annular orifice created by the disc is equivalent to a venturi throat has been described (296). An irrigated packed fiber bed with performance similar to a... [Pg.410]

An additional benefit of prethickening is reduction in cake resistance. If the feed concentration is low, there is a general tendency of particles to pack together more tightly, thus leading to higher specific resistances. If, however, many particles approach the filter medium at the same time, they may bridge over the pores this reduces penetration into the cloth or the cake underneath and more permeable cakes are thus formed. [Pg.393]

Lente insulin is an almost colorless suspension of a mixture of characteristic crystals predominandy 10—40 p.m in maximum dimension, and many particles that have no uniform shape and do not exceed 2 p.m in maximum dimension. On a wt/vol basis, it contains 0.15—0.17% sodium acetate, 0.65—0.75% sodium chloride, 0.09—0.11% methylparaben, and 0.20—0.25 mg of 2inc of which 40—65% is in the supernatant Hquid. Its pH is 7.1—7.5. [Pg.340]

X 10 J. At any instant many particles have less energy than this, and some have several times as much. If tip... [Pg.544]

For many particles, the diffuse-charge layer can be characterized adequately by the value of the zeta potential. For a spherical particle of radius / o which is large compared with the thickness of the diffuse-charge layer, an electric field uniform at a distance from the particle will produce a tangential electric field which varies with position on the particle. Laplace s equation [Eq. (22-22)] governs the distribution... [Pg.2006]

Pollution can cause opposite effects in relahon to precipitation. Addition of a few particles that act as ice nuclei can cause ice particles to grow at the expense of supercooled water droplets, producing particles large enough to fall as precipitation. An example of this is commercial cloud seeding with silver iodide particles released from aircraft to induce rain. If too many particles are added, none of them grow sufficiently to cause precipitation. Therefore, the effects of pollution on precipitation are complex. [Pg.144]

The value of e varies between the limits of 0 and unity however, many particles have a loosely poured voidage of approximately 0.4 to 0.45. [Pg.144]

Gradual blockage can occur due to the accumulation of many particles in pore passages. [Pg.173]

When we consider many particles settling, the density of the fluid phase effectively becomes the bulk density of the slurry, i.e., the ratio of the total mass of fluid plus solids divided by the total volume. The viscosity of the slurry is considerably higher than that of the fluid alone because of the interference of boundary layers around interacting solid particles and the increase of form drag caused by particles. The viscosity of a slurry is often a function of the rate of shear of its previous history as it affects clustering of particles, and of the shape and roughness of the particles. Each of these factors contributes to a thicker boundary layer. [Pg.299]

Molecular dynamics, in contrast to MC simulations, is a typical model in which hydrodynamic effects are incorporated in the behavior of polymer solutions and may be properly accounted for. In the so-called nonequilibrium molecular dynamics method [54], Newton s equations of a (classical) many-particle problem are iteratively solved whereby quantities of both macroscopic and microscopic interest are expressed in terms of the configurational quantities such as the space coordinates or velocities of all particles. In addition, shear flow may be imposed by the homogeneous shear flow algorithm of Evans [56]. [Pg.519]

The simulation of a molecular system at a finite temperature requires the generation of a statistically significant set of points in phase space (so-called configurations), and the properties of a system can be obtained as averages over these points. For a many-particle system, the averaging usually involves integration over many degrees of freedom. [Pg.60]

I am going to generally write wavefunctions that depend on the coordinates of many particles as capitals from now on, and wavefunctions that depend on the coordinates of a single particle in lower-case. [Pg.75]

Thus v t) is a unique functional of the electron density since u(r) fixes the Hamiltonian we see that the full many-particle ground state is a unique functional of the electron density. [Pg.223]


See other pages where Many-particle is mentioned: [Pg.21]    [Pg.22]    [Pg.25]    [Pg.25]    [Pg.459]    [Pg.666]    [Pg.667]    [Pg.2202]    [Pg.2207]    [Pg.2208]    [Pg.2219]    [Pg.2220]    [Pg.313]    [Pg.442]    [Pg.275]    [Pg.616]    [Pg.57]    [Pg.1428]    [Pg.1763]    [Pg.52]    [Pg.373]    [Pg.1045]    [Pg.3]    [Pg.444]    [Pg.747]    [Pg.749]    [Pg.1280]    [Pg.307]    [Pg.210]   


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Classical many particle simulator

Classical many particle simulator timing results

Coulombic many-particle Hamiltonian

Dirac equation many-particle systems

Dirac many-particle theory

Hamiltonian matrix, many-particle

Hamiltonian nonrelativistic many-particle

Hydrophobic interaction Among many particles

Managing the Many-Particle Hamiltonian

Many particle system density operator

Many particle system thermodynamic limits

Many-Particle States and Time Reversal

Many-electron methods 2-particle density matrix

Many-particle Hamiltonian

Many-particle Hamiltonian Born-Oppenheimer approximation

Many-particle Hamiltonian symmetry property

Many-particle Hamiltonian under complex scaling

Many-particle Schrodinger equation

Many-particle Sturmians

Many-particle coefficients of fractional parentage

Many-particle operator

Many-particle operator Hilbert space

Many-particle operator eigenfunction

Many-particle operator restricted

Many-particle operator similarity transformation

Many-particle projector

Many-particle quantum system characterization

Many-particle states

Many-particle states time reversal

Many-particle system, energy landscape

Many-particle systems, computational

Many-particle systems, computational scheme

Properties of a Many-Particle Hamiltonian under Complex Scaling

Quasi-Relativistic Many-Particle Hamiltonians

Relativistic methods many-particle systems

Relativistic treatment of many-particle systems

Rough Particles with Many Edges

Statistics of many-particle systems

System many-particle

The Many-Particle Hamiltonian and Degree of Freedom Reduction

The Three-Dimensional Many-Particle Schrodinger Equation

Wave function many-particle

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