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** Matter systems condensation Burns temperature **

** Matter systems condensation definition **

** Matter systems condensation disorder **

A key issue in describing condensed matter systems is to account properly for the number of states. Unlike a molecular system, the eigenvalues of condensed matter systems are closely spaced and essentially mfmite in [Pg.93]

Applying Flartree-Fock wavefiinctions to condensed matter systems is not routine. The resulting Flartree-Fock equations are usually too complex to be solved for extended systems. It has been argried drat many-body wavefunction approaches to the condensed matter or large molecular systems do not represent a reasonable approach to the electronic structure problem of extended systems. [Pg.92]

K. J. Strandburg, ed. Bond Orientational Order in Condensed Matter Systems. New York Springer, 1992. [Pg.124]

Weeks JD (1980) in Riste T (ed) Ordering in strongly fluctuating condensed matter systems. Plenum, New York, p 293 [Pg.309]

K. Binder, G. Ciccotti, eds. Monte Carlo and Molecular Dynamics of Condensed Matter Systems. Bologna Societa Italiana di Fisica, 1996. [Pg.128]

Strandberg KJ (1992) In Strandberg KJ (ed) Bond orientational order in condensed matter systems, chap 2. Springer, Berlin Heidelberg New York [Pg.135]

Mehlig, B. Heermann, D.W. Forrest, B.M., Hybrid Monte Carlo method for condensed-matter systems, Phys. Rev. B 1992, 45, 679-685 [Pg.318]

Luijten, E. Introduction to cluster Monte Carlo algorithms. In Computer Simulations in Condensed Matter Systems From Materials to Chemical Biology (eds M. Ferrario, G. Ciccotti and [Pg.74]

Car R 1996 Molecular dynamics from first principles Monte Carlo and Moleoular Dynamios of Condensed Matter Systems vo 49 ed K Binder and G Ciccotti (Bologna Italian Physical Society) pp 601-34 [Pg.2289]

For a review on the roughening transition see J. D. Weeks in Ordering in Strongly Fluctuating Condensed Matter Systems, ed. T. Riste, 293 (Plenum New-York, 1980) [Pg.127]

For recent reviews on molecular dynamics simulations of amphiphilic systems, see D. J. Tobias, K. Tu, M. L. Klein. In K. Binder, G. Ciccotti, eds. Monte Carlo and Molecular Dynamics of Condensed Matter Systems. Bologna SIF, 1996, pp. 327-344. S. Bandyapadhyay, M. Tarek, M. L. Klein. Curr Opin Coll Interf Sci 3-.242-146, 1998. [Pg.674]

Since and depend only on die valence charge densities, they can be detennined once the valence pseudo- wavefiinctions are known. Because the pseudo-wavefiinctions are nodeless, the resulting pseudopotential is well defined despite the last temi in equation Al.3.78. Once the pseudopotential has been constructed from the atom, it can be transferred to the condensed matter system of interest. For example, the ionic pseudopotential defined by equation Al.3.78 from an atomistic calculation can be transferred to condensed matter phases without any significant loss of accuracy. [Pg.112]

Knowing the energy distributions of electrons, (k), and the spatial distribution of electrons, p(r), is important in obtaining the structural and electronic properties of condensed matter systems. [Pg.101]

Classical molecular dynamics (MD) implementing predetermined potentials, either empirical or derived from independent electronic structure calculations, has been used extensively to investigate condensed-matter systems. An important aspect in any MD simulation is how to describe or approximate the interatomic interactions. Usually, the potentials that describe these interactions are determined a priori and the full interaction is partitioned into two-, three-, and many-body contributions, long- and short-range terms, etc., for which suitable analytical functional forms are devised. Despite the many successes with classical MD, the requirement to devise fixed potentials results in several serious problems [Pg.403]

For importance sampling in the lattice simulation, one can use the leading part of the determinant, [real, positive]. This proposal provides a nontrivial check on analytic results at asymptotic density and can be used to extrapolate to intermediate density. Furthermore, it can be applied to condensed matter systems like High-Tc superconductors, which in general suffers from a sign problem. [Pg.180]

Since solids do not exist as truly infinite systems, there are issues related to their temiination (i.e. surfaces). However, in most cases, the existence of a surface does not strongly affect the properties of the crystal as a whole. The number of atoms in the interior of a cluster scale as the cube of the size of the specimen while the number of surface atoms scale as the square of the size of the specimen. For a sample of macroscopic size, the number of interior atoms vastly exceeds the number of atoms at the surface. On the other hand, there are interesting properties of the surface of condensed matter systems that have no analogue in atomic or molecular systems. For example, electronic states can exist that trap electrons at the interface between a solid and the vacuum [1]. [Pg.86]

One common approximation is to separate the nuclear and electronic degrees of freedom. Since the nuclei are considerably more massive than the electrons, it can be assumed that the electrons will respond mstantaneously to the nuclear coordinates. This approximation is called the Bom-Oppenlieimer or adiabatic approximation. It allows one to treat the nuclear coordinates as classical parameters. For most condensed matter systems, this assumption is highly accurate [11, 12]. [Pg.88]

** Matter systems condensation Burns temperature **

** Matter systems condensation definition **

** Matter systems condensation disorder **

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