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Scaled time

The relations pertain to the fine, small-scale time variations in the phase and the log modulus, not to their large-scale changes. [Pg.128]

If we scale time as t = xr, then the frst term in (5.52) decreases as l/>/, while the other two are independent of friction. Therefore, at large rj the second derivative term in (5.52), as well as the kinetic energy term in the action, can be neglected, and the entire effect of friction is to change the timescale. That is, the solution to (5.52) is Q x) = Q x/ri) where Q is a function independent of rj. The instanton velocity is scaled as Q cc and the action (5.38) grows linearly with r, ... [Pg.84]

This equation is known as the rate law for the reaction. The concentration of a reactant is described by A cL4/df is the rate of change of A. The units of the rate constant, represented by k, depend on the units of the concentrations and on the values of m, n, and p. The parameters m, n, and p represent the order of the reaction with respect to A, B, and C, respectively. The exponents do not have to be integers in an empirical rate law. The order of the overall reaction is the sum of the exponents (m, n, and p) in the rate law. For non-reversible first-order reactions the scale time, tau, which was introduced in Chapter 4, is simply 1 /k. The scale time for second-and third-order reactions is a bit more difficult to assess in general terms because, among other reasons, it depends on what reactant is considered. [Pg.96]

The positive results obtained at production scale give us confidence in the validity of our approach. Derivation of a simple scaling factor enabled us to conduct a series of experiments in a small pilot plant which would have been expensive and time-consuming on a production scale. Time series analysis not only provided us with estimates of the process gain, dead time and the process time constants, but also yielded an empirical transfer function which is process-specific, not one based on... [Pg.485]

Mass spectrometric studies are not limited to the investigation of stable intermediates they have also been carried out on reaction transition states. The ultrafast studies by Zewail, for example, are nominally mass spectrometric based, where photoionization is used to detect reactive species on exceedingly short (femtosecond) time scales.Time resolved studies provide insight into the rates of unimo-lecular reactions, but do not provide direct thermochemical insight. [Pg.234]

Figure 3.8 Ln(m/m0) vs. scaled time tt(= 7t2Dt/r2) for the hot-ball model, including the effect of particle shape. After Bartle et al. [286]. Reproduced from Journal of Supercritical Fluids, 3, K.D. Bartle et al., 143-149, Copyright (1990), with... Figure 3.8 Ln(m/m0) vs. scaled time tt(= 7t2Dt/r2) for the hot-ball model, including the effect of particle shape. After Bartle et al. [286]. Reproduced from Journal of Supercritical Fluids, 3, K.D. Bartle et al., 143-149, Copyright (1990), with...
The reflection calibration method with the specialized filter block has the advantage that it does not require the sample to be moved to recalibrate. As a result it might be particularly useful for long time scale time series data. [Pg.89]

Fig. 3.9 Dynamic structure factor for a 100 monomer PE chain in the melt at 509 K vs. scaled time for the experiment (symbols), the united atom model (full curves) and the explicit atom model (dashed curves). (Reprinted with permission from [52]. Copyright 1998 American Institute of Physics)... Fig. 3.9 Dynamic structure factor for a 100 monomer PE chain in the melt at 509 K vs. scaled time for the experiment (symbols), the united atom model (full curves) and the explicit atom model (dashed curves). (Reprinted with permission from [52]. Copyright 1998 American Institute of Physics)...
At times t < f0 w [where f0 ° is an infinitesimal amount less than f0 ], the density is zero. Only after the pair is formed can there be any probability of its existence [499]. This is cause and effect, but strictly only applicable at a macroscopic level. On a microscopic scale, time reversal symmetry would allow us to investigate the behaviour of the pair at time and so it reflects the inappropriateness of the diffusion equation to truly microscopic phenomena. The irreversible nature of diffusion on a macroscopic scale results from the increase of entropy, and should be related to microscopic events described by the Sturm—Liouville equation (for instance) and appropriately averaged. [Pg.370]

The Rayleigh particle is the same particle as the Brownian particle, but studied on a finer time scale. Time differences At are regarded that are small compared to the time in which the velocity relaxes, but, of course, still large compared to the duration of single collisions with the gas molecules. Thus the stochastic function to be considered is the velocity rather than the position. It is sufficient to confine the treatment to one dimension this is sometimes emphasized by the name Rayleigh piston . 0... [Pg.204]

Note that the appearance of a generic time scale is a characteristic property of a dissipative system and T generates its time evolution in scaled time units. Such time operators are strictly speaking forbidden in standard Quantum Mechanics, see Ref. [24] for further aspects on the problem, however, in open systems far from equilibrium they do not only exist but might also be useful in many applications, see below and [4-10, 13-15], The form (15) has been investigated and obtained... [Pg.126]

Figure 7.13 Semi-batch reaction with feed rate adapted to the T -limitation at 113°C. Upper diagram heat release rate and cooling capacity on left scale, feed on right scale. Lower diagram temperature after cooling failure on left scale, feed and conversion on right scale time (h). Figure 7.13 Semi-batch reaction with feed rate adapted to the T -limitation at 113°C. Upper diagram heat release rate and cooling capacity on left scale, feed on right scale. Lower diagram temperature after cooling failure on left scale, feed and conversion on right scale time (h).
Over a considerable fraction of the high-latitude global ocean, sea ice forms a boundary between the atmosphere and the ocean, and considerably influences their interaction. The details and consequences of the role of sea ice in the global climate system are still poorly known. Improved knowledge is needed of the broad-scale time-varying distributions of the physical characteristics of sea ice, particularly ice thickness and the overlying snow-cover thickness, in both hemispheres, and the dominant processes of ice formation, modification, decay and transport which influence and determine ice thickness, composition and distribution. We do not know how accurate present model predictions of the sea ice responses to climate change are, since the representation of much of the physics is incomplete in many models, and it will be necessary to improve coupled models considerably to provide this predictive capability. [Pg.341]

Four characteristic times are involved those of reaction, tR, diffusion, tp, mixing (local motion), tjj, and macromixing (gross flow patterns), "t. The relative ratios of these characteristic times (Dai, Dan Pe) determine the reactor performance. tc is a characteristic scaling time that is chosen to be tp for "fast reactions" and tR for "slow reactions"(5). [Pg.569]

While in the bulk the phases of the growing concentration waves are random, and also the directions of the wavevectors q are controlled by random fluctuations in the inital states, a surface creates a boundary condition, and working out adynamic extension [45,129,132,133,144,156] of the model in Sect. 2.1 Eqs. (7)-(10) one finds that under typical conditions wavevectors oriented perpendicular to the walls occur, with phases such that the maxima of the waves occur at the walls (Fig. 28). In terms of a normalized order parameter i /(Z, R, x) where x is a scaled time and Z, R, are scaled coordinates perpendicular and parallel to the walls, Z=z/2 b, R=q/2 b, V /=(( )-( )crit)/(( )coex-( )crit), this dynamic extension is the Cahn-Hilliard equation [291-294]... [Pg.65]

Fig. 28. Averaged order parameter profiles cf>av(Z,x) plotted vs the scaled distance Z=z/2 b from the left wall at z=0 for four different scaled times T after the quench as indicated, for a scaled distance D =D/2 b=60. Choosing a rescaled distance L /2 b=600, and a discretization AX=1.5, Ax=0.05, the resulting equations are solved by the cell-dynamics method. The results shown are for parameters h1=y=4, g =-4, and averaged over 2000 independent initial conditions, corresponding to random fluctuations in a state with J( )av(Z,0)dZ=0. The parameters Iq and g were chosen such that both walls prefer A but one is still in the non-wet region of the equilibrium surface phase diagram of the corresponding semi-infinite system. From Puri and Binder [145]... Fig. 28. Averaged order parameter profiles cf>av(Z,x) plotted vs the scaled distance Z=z/2 b from the left wall at z=0 for four different scaled times T after the quench as indicated, for a scaled distance D =D/2 b=60. Choosing a rescaled distance L /2 b=600, and a discretization AX=1.5, Ax=0.05, the resulting equations are solved by the cell-dynamics method. The results shown are for parameters h1=y=4, g =-4, and averaged over 2000 independent initial conditions, corresponding to random fluctuations in a state with J( )av(Z,0)dZ=0. The parameters Iq and g were chosen such that both walls prefer A but one is still in the non-wet region of the equilibrium surface phase diagram of the corresponding semi-infinite system. From Puri and Binder [145]...
Early attempts to combine an IR instrument with an analytical gas chromatograph were only partly successful complications were related to the fact that components eluted from the GC column in time intervals too short to permit matching the scale time of the IR... [Pg.109]

To reduce the number of parameters - and to provide a standard environment so that comparisons can be made in terms of the parameters of the competing populations - the equations will be scaled, much as was done in the first three chapters. First, scale the units of concentration of S,Xi,X2, by the input concentration This includes the parameters fl/, / = 1,2. (We have already tacitly scaled out the yield parameters, which scale the conversion of nutrient to organism.) Then scale time by the dilution rate (with units 1/time). This reduces D to unity and replaces ntj by nij/D (/ = 1, 2) and 5 by 6/D. Finally, scale p by p which has the effect of scaling to unity. In [LH],... [Pg.80]

The procedure used by Kinney and Graham (Ref. 22) to find time, both shock time of arrival as well as shock positive pulse duration, is to first determine the scaled times from the reference explosion shown in Figures 28.3 and 28.5 using Z, the scaled distance as was done with pressure, above. The scaled time thus... [Pg.409]

Figure 28.3. Scaled time of arrival versus scaled distance (based on data from Ref 22). Figure 28.3. Scaled time of arrival versus scaled distance (based on data from Ref 22).

See other pages where Scaled time is mentioned: [Pg.403]    [Pg.35]    [Pg.295]    [Pg.59]    [Pg.85]    [Pg.396]    [Pg.186]    [Pg.186]    [Pg.406]    [Pg.61]    [Pg.27]    [Pg.125]    [Pg.12]    [Pg.39]    [Pg.218]    [Pg.116]    [Pg.207]    [Pg.196]    [Pg.266]    [Pg.67]    [Pg.118]    [Pg.81]    [Pg.62]    [Pg.249]    [Pg.207]    [Pg.278]    [Pg.194]    [Pg.410]   
See also in sourсe #XX -- [ Pg.207 , Pg.252 , Pg.278 ]




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Advection time scale

Aggregation time scale

Aging relaxation time scales

Annealing over geological time-scales

Antagonism time scale

Approximate lumping in systems with time-scale separation

Approximate non-linear lumping in systems with time-scale separation

Atomistic simulations time scale

Basics, Relevant Time Scales

Biological response, time scale

Biological time scales

Biopolymers time scales within

CHOICE OF THE TIME SCALING FACTOR

Calibration of the Time Scale

Calibration time scale

Characteristic Time Scale Analysis

Characteristic time scales

Characteristic time scales reversible reactions

Chemical dynamics femtosecond time scale

Chemical source term time scales

Chemical time scales definition

Chemical time scales local

Chemical time-scale

Chemistry /chemical time scales

Coherence, femtosecond time scale

Collision time scale

Combustion time scale

Compensation time scale

Control in the slow time scale

Corrsin time scale

Crystallization time scales, simulations

Data analysis logarithmic time scale

Dehydrogenases time scale

Differentiation, time scale

Diffusion characteristic time scales

Dispersion parameters characteristic time scale

Distribution of Energy on a Molecular Time Scale

Drops characteristic time scale

Effect of time scale

Electrochemical time scale

Electrochemical-potential time scale

Equilibrium-chemistry limit chemical time scales

Evolution time-scale

Experimental Data to Provide Information over Wide Ranges of Time Scale

Extending Atomistic Time Scale Simulations by Optimization of the Action

Extending the Time Scale Path Methodologies

Extending the Time Scale in Atomically Detailed Simulations

Fast time scale

Fast time scales, asymptotic solution

Femtosecond time scale

Femtosecond time scale chemical studies

Femtosecond time scale reaction dynamics

Femtosecond time scale rearrangement

Femtosecond time scale representative dynamics

Femtosecond time scale spectroscopy

Femtosecond time scale structural determinations

Femtosecond time scale trimethylene/tetramethylene diradicals

Fermentation time scales

First-order point process time scale

Flame Time Scales

Fluorescence time scale

Fractals time series scaling

Fundamental characteristic times scales

Geminate recombination time scale

Geologic time scales

Geological time scale

Heat Balance Using Time Scale

Hydrogen molecules, femtosecond time scale

Intersystem crossing time scale

Intra-Chain Transport at Short Time Scales

Intrinsic time-scale

Introduction Complexities of Scales in Time and Space

Ionic associations/equilibria time scales

Kinetics time scales

Kolmogorov time scale

Laboratory time scale

Lagrangian integral time scale

Laguerre model time scaling factor

Langevin equation time-scale separation

Large ranges of time scales

Larmor time scale

Ligand binding reaction time scales

Linear lumping in systems with time-scale separation

Logarithmic time scale

Long-time-scale motions

Long-time-scale studies

Mass spectrometric time scale

Mechanical-to-scalar time-scale ratio

Mechanism reduction without time-scale analysis

Mesoscopic time scale

Molecular-time-scale generalized Langevin

Molecular-time-scale generalized Langevin equation

Motion, time scale

Movement time scale

Multiple time scale behavior

Multiple time scale behavior fast dynamics

Multiple time scales

Multiple time-scale perturbations

Multiple time-scale simulations

Multiple time-scales methods

Muscle contraction time scale

NMR time-scale

Neutron accessible time scale

Nonstandard singularly perturbed systems with two time scales

Nuclear magnetic resonance spectroscopy time scale

Nuclear magnetic resonance time scale

Nuclear time scale

Optimal time scaling factor for first order plus delay systems

Perturbation theory time scales

Phanerozoic time scale

Phosphorescence time scale

Phosphorus cycle long time-scale cycling

Photoexcitation time scale

Physical aging relaxation time scales

Physiological time series scaling behavior

Polarization time scale

Pressure jump techniques technique/time scales

Problems Involving Multiple Length and Time Scales

Proteins time scale, motions

Pulsed lasers, femtosecond time scale

Pump pulse femtosecond time scale, structural

Reaction mechanisms femtosecond time scale

Reaction rates times scales

Reaction time scale defined

Reaction time scale kinetics methodologies

Reaction time scales

Reactions induced time scale

Reactions on the NMR Time Scale

Reduced time-scale parameter

Reduced-time scaling factors

Reduction based on the investigation of time-scales

Relaxation mechanisms, femtosecond time scale

Relaxation relative time scales

Residence time distribution, small-scale

Residence time distribution, small-scale processes

Rigid-body motions time scales

Rydberg states time scales

Sampling time scales

Scale constant blend time

Scale space-time yield

Scale-down process characteristic time

Second-order point process time scale

Separation of time scales

Sharply defined time scales

Short time scale behavior

Short time scales

Short-time-scale motions

Singularly perturbed systems with three or more time scales

Slow mode viscoelastic time scale

Slow time scale

Slow time scales asymptotic solutions

Slow time scales first scale

Slow time scales second scale

Small parameters fast time scale

Solvation time scale

Solvent effects solvation time scales

Structural properties femtosecond time scale

Structural techniques, time scales

Structural techniques, time scales Structure

Structural techniques, time scales layered

Structural techniques, time scales pairs

Symmetry and Time Scale

Symmetry time scale

Systems with multiple-time-scale dynamics

Temperature jump techniques time scales

The Geologic Time Scale

The Geologic Time Scale and Gravimetric Analysis

The NMR Time Scale

The glass transformation on different time scales

The time scales

Thermodynamics Time scales

Time Scale and Scope of Bacterial Response Variables

Time Scale for Redefinitions

Time Scale of Events

Time Scale of Motions

Time Scales for Dispersed Multiphase Flows

Time Scales in Impedance Spectroscopy Measurements

Time Scales of Mixing in the Atmosphere and Oceans

Time and Pitch scale modification of audio signals

Time and Space Scale

Time and length scales

Time scale Batchelor

Time scale blending

Time scale dominant

Time scale dynamics associated with

Time scale equation

Time scale factor

Time scale hydrodynamical

Time scale hypothesis

Time scale longest

Time scale mesomixing

Time scale mixing, reaction

Time scale of measurement

Time scale of response

Time scale separation

Time scale summary

Time scale super-slow

Time scale table

Time scale turbulent mixing

Time scale, convection

Time scale, diffusion

Time scale, effective

Time scale, engulfment

Time scale, extension

Time scale, micro-mixing

Time scale, picosecond

Time scale, reduction

Time scale, relaxation process

Time scales

Time scales

Time scales Taylor

Time scales and fluctuations of protein dynamics metmyoglobin in aqueous solution

Time scales and single reservoir system

Time scales applications

Time scales asymptotic solutions

Time scales burning

Time scales chemical reaction

Time scales defined

Time scales dimension variables

Time scales eddy turnover

Time scales electrode-electrolyte interface

Time scales electronic excitation

Time scales experimental techniques

Time scales explosive scale

Time scales first scale

Time scales fluctuations

Time scales for structural techniques

Time scales friction mechanics

Time scales global reaction dynamics

Time scales hydration

Time scales hydration layer dynamics

Time scales ignition

Time scales integral

Time scales micromixing

Time scales mixing

Time scales mode coupling theory

Time scales molecular dynamics simulations, protein

Time scales of dynamical processes

Time scales of molecular processes

Time scales overview

Time scales phase-space transition states

Time scales pyrolysis

Time scales recirculation

Time scales scalar

Time scales singular perturbation theory

Time scales small parameters

Time scales spectrophotometry method

Time scales spontaneous ignition

Time scales steady-state concentration

Time scales thermal diffusion

Time scales turbulence

Time scales, biological systems

Time scales, carbon dynamics

Time scales, dispersed

Time scales, dispersed multiphase flows

Time scales, lasers

Time series analysis scaling behavior

Time series analysis scaling dynamics

Time, scale of, macroscopic

Time-Scale Considerations

Time-scale biodegradation

Time-scale criterion

Time-scale decomposition and nonlinear model reduction

Time-scale framework

Time-scale limitations

Time-scales for Spectroscopic Measurements

Transition state theory femtosecond time scale

Transport time scale

Tribology time-scale

Uncertainty and the Question of Time Scale

Various time-scales

Vibrational cascade time scale

Water time scales

What Time Scales Are Involved for Chemical Reactions in Solution

Widely separated time scales

Width of Plateau Zone on Time Scale

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