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Small ensemble systems properties

Dimensional Effects on Properties Small Ensemble Systems Constrained Systems Critical Length Scales, Kinematics, and Dissipation... [Pg.5]

Phenomenological theories fail to describe transport and material properties of small ensemble systems, i.e., systems in which the number of molecules is smaller than Avogadro s number. Within the last century, it has been theoretically predicted and experimentally confirmed that small ensemble systems generate some sort of quantum confinement, in which optoelectronic, electronic, and magnetic wave propagation experience quantized nanoscale size effects. [Pg.7]

Figure 2). The calculations were done in the microcanonical ensemble at a temperature of 300K 5K. Energy was well conserved throughout the trajectories, and no overall drifts in molecular temperature were observed. Small ensembles of trajectories (12 for SI and 6 each for the other minima) were calculated for the averaging of system properties. Each trajectory was equilibrated by velocity reassignments during an initial period of 20ps, followed by another 20ps of dynamics used for data collection. Figure 2). The calculations were done in the microcanonical ensemble at a temperature of 300K 5K. Energy was well conserved throughout the trajectories, and no overall drifts in molecular temperature were observed. Small ensembles of trajectories (12 for SI and 6 each for the other minima) were calculated for the averaging of system properties. Each trajectory was equilibrated by velocity reassignments during an initial period of 20ps, followed by another 20ps of dynamics used for data collection.
Classical molecular dynamics is a computer simulation method to study the equilibrium and transport properties of a classical many-body system by solving Newton s equations of motion for each component. The hypothesis of this methodology is that the properties of the matter or the transport phenomena can be understood through the observation of statistical properties of a small molecular system under certain microscopic interactions among its constituents. The main justification of the classical molecular dynamics simulation method comes from statistical mechanics in that the statistical ensemble averages are equal to the time averages of a system. [Pg.2291]

Moving from two dimensional systems or nanoscale small ensembles to three dimensional systems, we will find ourselves in a fractional dimensionality. Material transport and reaction properties are known to be strongly affected by the so-called... [Pg.15]

We would like then to distinguish the properties of nanopartides themselves from cooperative properties exhibited by nanocomposites as ensembles of such small particles. The properties of nanoparticles themselves will be described in the Sect. 4 and the cooperative effects in Sect. 5 of this review. We also limit our observation to only the 0-3 nanocomposil [14], i.e. the systems in which filler is 0-dimensional (particle) and matrix is 3-dimensional and continuous. We... [Pg.81]

For the majority of atomic and small molecule systems at equilibrium in the (N,P,T) ensemble (P is the pressure tensor) it is widely accepted that the most rigorous approach is to use the controlled pressure technique proposed by Rahman and Parrinello (RP) in conjunction with the Nose-Hoover thermostat.However, the choice of method must take careful account of the material we wish to study, how it is modeled and any external perturbations which we wish to apply. For polymers the Berendsen loose-coupling controlled pressure MD technique is a good compromise. Although the theoretical basis of this method has been criticised in practice it has been found that to within statistical uncertainties first-order properties are the same as those obtained by more rigorous approaches. [Pg.275]

Second virial coefficients represent the first approximation to the system equation of state. Yethiraj and Hall [148] obtained the compressibility factor, i.e., pV/kgTn, for small stars. They found no significant differences with respect to the linear chains in the pressure vs volume behavior. Escobedo and de Pablo [149] performed simulations in the NPT ensemble (constant pressure) with an extended continuum configurational bias algorithm to determine volumetric properties of small branched chains with a squared-well attractive potential... [Pg.80]


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