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Temperature of the simulation

In the last simulation we found the diode voltage and current at the default temperature of 25°C. Suppose we want to simulate the circuit at a different temperature This can easily be done by selecting the temperature option in the simulation profile. We will continue with the circuit of the previous simulation- [Pg.180]

We now wish to edit the simulation profile. Since we are using a previously created profile, we need to open the profile rather than create a new profile. Select PSpice and then Edit Simulation Profile from the Capture menus to edit the existing profile  [Pg.180]

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The Bias Point simulation is already selected from the previous example. Here we need to specify the temperature of the simulation. By default, all simulations are run at 25°C. To specify a temperature other than the default, select the [Pg.180]

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A common solution that allows one to overcome the limited sampling by MD simulations at room temperature is simply to raise the temperature of the simulation. The additional kinetic energy available in a higher temperature simulation makes crossing high... [Pg.70]

To set the initial composition of the Lyons fluid, we use an analysis of modem Lyons groundwater sampled at 51 °C (McConaghy el al., 1964), which we correct to the temperature of the simulation by heating it in the presence of calcite and quartz. In react, the commands... [Pg.380]

Step 3 is repeated many thousands of times, leading to equilibration when system properties have converged to equilibrium values and do not change significantly with further time steps. For example, the temperature of the simulation is calculated from the kinetic energies of all the atoms in the system ... [Pg.360]

In a molecular dynamic simulation147 of bulk atomic diffusion by a vacancy mechanism, two atoms may occasionally jump together as a pair. The temperature of the simulation is close to the melting point of the crystal. In FTM studies of single atom and atomic cluster diffusion, the temperature is only about one tenth the melting point of the substrate. All cluster diffusion, except that in the (1 x 1) to (1 x 2) surface reconstruction of Pt and Ir (110) surfaces already discussed in Section 4.1.2(b), are consistent with mechanisms based on jumps of individual atoms.148,149 In fact, jumps of individual atoms in the coupled motion of adatoms in the adjacent channel of the W (112) surface can be directly seen in the FTM if the temperature of the tip is raised to near 270 K.150... [Pg.236]

In the simulation of the spinodal curve, using the Equation above, the parameter can be used as an adjustable parameter to match the minimum temperature of the simulated spinodal to the minimum of the experimental cloud point temperature. Then the full spinodal curve with constant values of Xjj and can be calculated. [Pg.160]

Temperature. For simulations that can be compared with experimental results, one must be able to control the temperature of the simulation. The temperature of a system is a function of the kinetic energy, JSkin( ) ... [Pg.96]

The activation energies obtained from these plots parallel the heats of desorption which varies linearly with chain length, except for -decane. The gas-solid potential energy well is sufficiently deep to make the molecules lie flat on the surface in an all trans configuration at the temperatures of the simulation, in agreement with experiment. In the case of the decane molecule, the in-plane rotation that facilitates the diffusion of the short chains is more difficult and the mismatch between the atoms in the chain and the positions of the minima in the gas-solid potential is greatest. These factors appear to account for the deviation of the activation energy from the trend shown by the other species. In the case of... [Pg.615]

Initially, Boero et al. (1998) performed an optimization of their entire system on a sixfold coordinated Ti site called the Corradini site. They then varied the values of their reaction coordinate, decreasing it by increments of 0.2 to 0.1 A. At each value of the reaction coordinate, they performed Car-Parrinello simulations to obtain f rc-c- The temperature of the simulations was 323 K. [Pg.382]

The friction constant, 7/3, may be related to an angular diffusion constant by use of the Einstein formula, D = kBT/I. For the Tyr-21 ring torsional motion in BPTI, one obtains D = 2.3 X 1011 s 1 at 308 K, the temperature of the simulation. This value is somewhat larger than experimental diffusion constants for the corresponding rotational motion of small aromatic molecules in organic solvents (e.g., the value for benzene in isopentane is 8 X 10l° s-1). [Pg.101]

Alternatively, the temperature of the simulation system may be held constant by adding to the equation of motion (12), a constraint force which is proportional to the velocity, thereby giving... [Pg.100]

Construction of the thin films commences with an equilibrated model of the melt at bulk density, contained in a three-dimensional box of dimensions LxLyLz, measured along the three axes of the periodic cell. The angle between any two axes is 60°. Periodic boundary conditions are applied in all directions. The niunber and degree of polymerization of the parent chains are chosen so that the system will have bulk density, pbulk, at the temperature of the simulation. The construction, equilibration, analysis, and reverse mapping of these models of polyethylene melts have been reviewed recently, " and will receive no additional mention here. [Pg.119]

Two approaches can be taken to simulate reaction systems with such high barriers. The first involves raising the temperature of the simulation in order to access higher energy states. The second approach is to carry out a sequence of a constrained AIMD simulations along a specific reaction coordinate . [Pg.447]

The results show that, at both ambient temperatures, the temperature of the simulated skin on the back side of the new garment is stabilized in the comfort temperature range between 31 °C and 35 In Pause s opinion, that means... [Pg.51]

Maintaining Constant Temperature. The work done in order to slide the walls past each other is converted into random thermal motions. This heat will cause the temperature of the simulation cell to rise indefinitely, unless the cell is coupled to an outside heat bath. [Pg.95]

Figure 6.5 Four snapshots of a grainy membrane superstructure as obtained from Monte Carlo simulation of a membrane disk (with zero height and slope along the circular circumference). Contour lines are shown. The sides of the square fiWes represent 66 nm. The bending elastic moduli and the temperature of the simulation are k = 0.5 x 10 J, k = 1 X lO- Jm icj =-0,9 X 10 Jm = 0.9 x IO-"" Jm temperature = 470 K. Figure 6.5 Four snapshots of a grainy membrane superstructure as obtained from Monte Carlo simulation of a membrane disk (with zero height and slope along the circular circumference). Contour lines are shown. The sides of the square fiWes represent 66 nm. The bending elastic moduli and the temperature of the simulation are k = 0.5 x 10 J, k = 1 X lO- Jm icj =-0,9 X 10 Jm = 0.9 x IO-"" Jm temperature = 470 K.
Membrane proteins should be placed in a bilayer which is as similar as possible to its native environment. There is a diverse spectrum of phosphlipid bilayers available - differing mainly in the charges of their polar head groups, lengths and saturation of their acyl chains. If lipids play key roles in the proteins function, different combinations of Hpads will probably better represent the in vivo conditions. It should always be kept in mind that in order to simulate the membrane in a liquid-crystalline state the temperature of the simulation needs to be above the melting temperature of the chosen lipids (phase-transition temperature). [Pg.382]

Fig. 13.1. (a) Time evolution of the 6-12 and coulombic potential energies during the simulation that goes from crystalline benzene at 80 K to liquid benzene at 300 K. The inset shows the temperatures of the simulations. The 60-80 ps section corresponds to the melting run. (b) Density profile along the same trajectories as in (a). [Pg.334]

Fig. 6.2 The static structure factor for an undercooled melt in the lattice model. The temperature of the simulation is 570 K the wave vector is given in A. See Section 6.4. Fig. 6.2 The static structure factor for an undercooled melt in the lattice model. The temperature of the simulation is 570 K the wave vector is given in A. See Section 6.4.

See other pages where Temperature of the simulation is mentioned: [Pg.100]    [Pg.98]    [Pg.31]    [Pg.180]    [Pg.183]    [Pg.98]    [Pg.49]    [Pg.602]    [Pg.275]    [Pg.119]    [Pg.340]    [Pg.147]    [Pg.337]    [Pg.343]    [Pg.355]    [Pg.13]    [Pg.141]    [Pg.186]    [Pg.117]    [Pg.117]    [Pg.120]    [Pg.453]    [Pg.616]    [Pg.223]    [Pg.110]    [Pg.349]    [Pg.1534]    [Pg.18]   
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SIMULATING THE EFFECT OF TEMPERATURE AND PRESSURE ON CRYSTAL STRUCTURES

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