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Time averages

The product sublimation and melting are both carried out on a noncontinuous basis. Thus time-averaged values have been taken. [Pg.334]

Two simulation methods—Monte Carlo and molecular dynamics—allow calculation of the density profile and pressure difference of Eq. III-44 across the vapor-liquid interface [64, 65]. In the former method, the initial system consists of N molecules in assumed positions. An intermolecule potential function is chosen, such as the Lennard-Jones potential, and the positions are randomly varied until the energy of the system is at a minimum. The resulting configuration is taken to be the equilibrium one. In the molecular dynamics approach, the N molecules are given initial positions and velocities and the equations of motion are solved to follow the ensuing collisions until the set shows constant time-average thermodynamic properties. Both methods are computer intensive yet widely used. [Pg.63]

It is of interest in the present context (and is useful later) to outline the statistical mechanical basis for calculating the energy and entropy that are associated with rotation [66]. According to the Boltzmann principle, the time average energy of a molecule is given by... [Pg.582]

Dispersion forces caimot be explained classically but a semiclassical description is possible. Consider the electronic charge cloud of an atom to be the time average of the motion of its electrons around the nucleus. [Pg.192]

It was assumed that, apart from a vanishingly small number of exceptions, the initial conditions do not have an effect on these averages. However, since tire limitmg value of the time averages caimot be computed, an... [Pg.387]

Nuclear spin relaxation is caused by fluctuating interactions involving nuclear spins. We write the corresponding Hamiltonians (which act as perturbations to the static or time-averaged Hamiltonian, detemiming the energy level structure) in tenns of a scalar contraction of spherical tensors ... [Pg.1503]

The Boltzmaim weight appears implicitly in the way the states are chosen. The fomi of the above equation is like a time average as calculated in MD. The MC method involves designing a stochastic algorithm for stepping from one state of the system to the next, generating a trajectory. This will take the fomi of a Markov chain, specified by transition probabilities which are independent of the prior history of the system. [Pg.2256]

In writing equation (Cl. 4.3) we have made use of tire fact tliat tire time-average dipole has in-phase and inquadrature components. [Pg.2459]

The time-averaged force, equation (Cl.4.3), consists of two tenns tire first tenn is proportional to tire gradient of tire electric field amplitude tire second tenn is proportional to tire gradient of tire phase. Substituting equation (Cl.4.4) and equation (Cl.4.5) into equation (Cl.4.3), we have for tire two tenns. [Pg.2459]

As already mentioned, the motion of a chaotic flow is sensitive to initial conditions [H] points which initially he close together on the attractor follow paths that separate exponentially fast. This behaviour is shown in figure C3.6.3 for the WR chaotic attractor at /c 2=0.072. The instantaneous rate of separation depends on the position on the attractor. However, a chaotic orbit visits any region of the attractor in a recurrent way so that an infinite time average of this exponential separation taken along any trajectory in the attractor is an invariant quantity that characterizes the attractor. If y(t) is a trajectory for the rate law fc3.6.2] then we can linearize the motion in the neighbourhood of y to get... [Pg.3059]

In applications, one is often interested in approximating time averages over a time interval [0, T] via associated mean values of a , k = 1. ..Tfr. For T (or r) small enough, the above backward analysis may lead to much better error estimates than the worst case estimates of forward analysis. [Pg.101]

Fig. 2. Left Time average (over T = 200ps) of the molecular length of Butane versus discretization stepsize r for the Verlet discretization. Right Zoom of the asymptotic domain (r < 10 fs) and quadratic fit. Fig. 2. Left Time average (over T = 200ps) of the molecular length of Butane versus discretization stepsize r for the Verlet discretization. Right Zoom of the asymptotic domain (r < 10 fs) and quadratic fit.
An example of a time averaging function -4(a ) is the formula termed LongAverage in [7] ... [Pg.325]

Different time averagings are, of eourse, possible. Various time averagings can be defined by... [Pg.326]

Fig. 4. Total pseudoenergy (in kcal/moi) vs. sirauiation time (in fs) for time averaging, Equilibrium, and impuise methods. (At for all methods equals 8 fs.)... Fig. 4. Total pseudoenergy (in kcal/moi) vs. sirauiation time (in fs) for time averaging, Equilibrium, and impuise methods. (At for all methods equals 8 fs.)...
Fig. 5 shows that all three time averaging methods succeed for a long timestep At of 5 fs. [Pg.328]

Time Averages, Ensemble Averages and Some Historical Background... [Pg.317]

The temperature of the system is related to the time average of the kinetic energy, which fc an unconstrained system is given by ... [Pg.399]


See other pages where Time averages is mentioned: [Pg.334]    [Pg.582]    [Pg.86]    [Pg.387]    [Pg.387]    [Pg.387]    [Pg.387]    [Pg.1151]    [Pg.1252]    [Pg.2457]    [Pg.2472]    [Pg.2483]    [Pg.2497]    [Pg.222]    [Pg.57]    [Pg.98]    [Pg.101]    [Pg.133]    [Pg.312]    [Pg.318]    [Pg.325]    [Pg.326]    [Pg.327]    [Pg.327]    [Pg.328]    [Pg.311]    [Pg.319]    [Pg.318]    [Pg.318]    [Pg.319]    [Pg.320]    [Pg.407]   
See also in sourсe #XX -- [ Pg.59 ]

See also in sourсe #XX -- [ Pg.22 ]

See also in sourсe #XX -- [ Pg.59 ]

See also in sourсe #XX -- [ Pg.128 , Pg.134 , Pg.144 , Pg.145 ]

See also in sourсe #XX -- [ Pg.59 ]




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Actual average flow/cycle time

Amplitude-average decay time

Average decay time

Average holdup time

Average lead time

Average over time

Average residence time

Average residence time profile

Average surface residence time

Average time of burning

Averaging sliding time average

Averaging time

Averaging time

Averaging time, pollutant concentration

Carbon atoms average residence time

Conversion time-averaged

Digital time-averaging

Dipoles time-averaged induced

Dispersion time-average model

Distance constraints, time-averaged

Drift time, average

Ensemble and time averaging

Exposure limits time weighted average

Fluidized beds time-averaged heat transfer

Harmonic average correlation time

Heat transfer coefficient time averaged

Hydration time-average properties

Industrial hygiene time-weighted average

Instantaneous versus time-average dispersion models

Intensity-average decay time

Interatomic distances time average

Internuclear vector, time-averaged

Internuclear vector, time-averaged rotation

Light time-average

Navier-Stokes equations time-averaged

Noise time weighted average

Number-average degree reaction time

PEL-time-weighted average

Particle image velocimetry time averaging

Properties as Time Averages of Trajectories

Quasi-energy time-averaged

Reaction source term, time averaged

Real-time averaging

Relaxation time average

Residence time distribution averaging uniformity

Residence time, average experimental determination

Running time average

Safety time weighted average

Scan, single time averaged

Scattering intensity, time-averaged

Single exponential approximation, time averages

Sleep times, average

The Time After Volume Averaging Procedure

The Time Averaging Procedure

Threshold Limit Value-Time Weighted Average

Threshold Limit Values time weighted average exposures

Threshold limit value-time weighted average concentration exposure

Threshold limit value-time-weighted average TLV-TWA)

Time Weighed Average

Time Weighted Average Concentration

Time and ensemble average

Time average Eulerian approach

Time average contribution

Time average shear rate, equation

Time average structure

Time average theorem

Time average, turbulence

Time averaging approximation

Time averaging approximation coupled chromophores

Time averaging, Favre

Time averaging, Reynolds

Time series models moving average

Time weighted average values

Time-Average (Static) Light Scattering

Time-Averaged Characteristics

Time-Averaged Chemical Shift

Time-Weighted Average-Permissible Exposure Limit

Time-Weighted Average-Permissible Exposure Limit TWA-PEL)

Time-average cycling rate

Time-average equation

Time-average light scattering

Time-average reaction rate

Time-average synthesis rate

Time-averaged

Time-averaged Hamiltonian

Time-averaged Light Scattering

Time-averaged Poynting vector

Time-averaged concentration

Time-averaged conformation

Time-averaged constraints

Time-averaged conversion measurements

Time-averaged distance restraints

Time-averaged distribution

Time-averaged electron density

Time-averaged equations

Time-averaged particle parameters, liquid

Time-averaged period

Time-averaged position

Time-averaged power

Time-averaged power incident

Time-averaged probability

Time-averaged sampling

Time-averaged shifts

Time-averaged structure

Time-weighted average

Time-weighted average calculation

Time-weighted average concentration definition

Time-weighted average concentrations TWAs)

Time-weighted average employees, exposure

Time-weighted average exposure

Time-weighted average formula

Time-weighted average sampling

Time-weighted average, defined

Time-weighted averages , process

Transit times, average

Turbulence on Time-Averaged Navier-Stokes Equations

Turbulence time averaging

Turbulence time-averaged equations

Turbulent flow time-averaging

Vector, intemuclear, time-averaged

Velocity field, mean, time-averaged

Volume-time-averaged equations

Weight-average relaxation time

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