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Implicit

In many (most ) simulations of practical value, there is no external supply of c values, as there is for the Cottrell experiment, where Cq = [Pg.86]

0 at all t. Rather, there is a connection between Cq (and c ) and the other concentrations, usually via the current. The precise nature of the connection depends upon the experiment simulated. To illustrate the problem, let us look at chronopotentiometry. Here, a constant current i, and therefore a constant concentration gradient g at the electrode, is imposed upon the system. The standard simulation method is the [Pg.86]

The assumption is then made that is equal to this calculated Cq and used to drive the subsequent diffusion calculation - whether explicit or implicit. Clearly, at the end of this step, Cq no longer fits the other c values, that is. [Pg.87]

For the two-point g approximation (point method), it is correct to write, for chronopotentiometry (noting that g = g, constant). [Pg.87]

Assume that the first step of the procedure for solving the Crank-Nicolson system 5.32 has been carried out that is, that system 5.42 is established and thus all a and b are known. Combining Eq. 5.50 with the first equation of the system 5.42, [Pg.87]


If the equilibrium ratios were known or specified. Equation (7-8) could be substituted in Equation (7-6) or Equation (7-9) in (7-7) to give implicit relations for a ... [Pg.113]

In the work presented here, a slightly different two-parameter transient model has been used. Instead of specifying a center frequency b and the bandwidth parameter a of the amplitude function A(t) = 6 , a simple band pass signal with lower and upper cut off frequencies and fup was employed. This implicitly defined a center frequency / and amplitude function A t). An example of a transient prototype both in the time and frequency domain is found in Figure 1. [Pg.90]

An implicit edge process is involved in the regularization process where A acts as a scale parameter which gives a constraint on the size of the homogeneous patches and p. comes from ho = -y/ p/A where ho is the threshold above which a discontinuity is introduced. We propose, then to combine these two functionals to obtain a satisfactory solution ... [Pg.331]

The advantages of this approach for part 3 of the standard lie in the fact that no specifications on geometrical magnifications need to be made since these parameters implicitly result from the demanded IQI detectability. Furthermore, the standard is open to additional applications. All that is needed is to the definition of the respective equipment class and a specification on the respective IQI sensitivities. [Pg.441]

There is, of course, a mass of rather direct evidence on orientation at the liquid-vapor interface, much of which is at least implicit in this chapter and in Chapter IV. The methods of statistical mechanics are applicable to the calculation of surface orientation of assymmetric molecules, usually by introducing an angular dependence to the inter-molecular potential function (see Refs. 67, 68, 77 as examples). Widom has applied a mean-held approximation to a lattice model to predict the tendency of AB molecules to adsorb and orient perpendicular to the interface between phases of AA and BB [78]. In the case of water, a molecular dynamics calculation concluded that the surface dipole density corresponded to a tendency for surface-OH groups to point toward the vapor phase [79]. [Pg.65]

In ellipsometry monochromatic light such as from a He-Ne laser, is passed through a polarizer, rotated by passing through a compensator before it impinges on the interface to be studied [142]. The reflected beam will be elliptically polarized and is measured by a polarization analyzer. In null ellipsometry, the polarizer, compensator, and analyzer are rotated to produce maximum extinction. The phase shift between the parallel and perpendicular components A and the ratio of the amplitudes of these components, tan are related to the polarizer and analyzer angles p and a, respectively. The changes in A and when a film is present can be related in an implicit form to the complex index of refraction and thickness of the film. [Pg.126]

It is worthwhile, albeit tedious, to work out the condition that must satisfied in order for equation (A1.1.117) to hold true. Expanding the trial fiinction according to equation (A1.1.113). assuming that the basis frmctions and expansion coefficients are real and making use of the teclmiqiie of implicit differentiation, one finds... [Pg.38]

To derive equations for the order-by-order contributions to the eigenvalue X, the implicit equation for the eigenvalue is first rewritten as... [Pg.48]

There are also approaches [, and M] to control that have had marked success and which do not rely on quantum mechanical coherence. These approaches typically rely explicitly on a knowledge of the internal molecular dynamics, both in the design of the experiment and in the achievement of control. So far, these approaches have exploited only implicitly the very simplest types of bifiircation phenomena, such as the transition from local to nonnal stretch modes. If fiittlier success is achieved along these lines m larger molecules, it seems likely that deliberate knowledge and exploitation of more complicated bifiircation phenomena will be a matter of necessity. [Pg.78]

In the above discussion of relaxation to equilibrium, the density matrix was implicitly cast in the energy representation. However, the density operator can be cast in a variety of representations other than the energy representation. Two of the most connnonly used are the coordinate representation and the Wigner phase space representation. In addition, there is the diagonal representation of the density operator in this representation, the most general fomi of p takes the fomi... [Pg.234]

These equations were solved by Blum [10], and a characteristic inverse length, 2F, appears in the theory. This length is implicitly given by the equation... [Pg.582]

In fact, some care is needed with regard to this type of concentration cell, since the assumption implicit in the derivation of A2.4.126 that the potential in the solution is constant between the two electrodes, caimot be entirely correct. At the phase boundary between the two solutions, which is here a semi-pemieable membrane pemiitting the passage of water molecules but not ions between the two solutions, there will be a potential jump. This so-called liquid-junction potential will increase or decrease the measured EMF of the cell depending on its sign. Potential jumps at liquid-liquid junctions are in general rather small compared to nomial cell voltages, and can be minimized fiirther by suitable experimental modifications to the cell. [Pg.602]

Since angular momentum is conserved, equation (A3.11.192) may be rearranged to give the following implicit equation for the time dependence of r ... [Pg.994]

In the statistical description of ununolecular kinetics, known as Rice-Ramsperger-Kassel-Marcus (RRKM) theory [4,7,8], it is assumed that complete IVR occurs on a timescale much shorter than that for the unimolecular reaction [9]. Furdiemiore, to identify states of the system as those for the reactant, a dividing surface [10], called a transition state, is placed at the potential energy barrier region of the potential energy surface. The assumption implicit m RRKM theory is described in the next section. [Pg.1008]

Figure Bl.11.9. Integrated 250 MHz H NMR spectrum of dilute propan-1-ol in dinrethylsulfoxide solvent. Here, the shift order parallels the chemical order. Arr expansion of the H2-I nrultiplet is included, as is the implicit frequency scale, also referenced here to TMS = 0. Figure Bl.11.9. Integrated 250 MHz H NMR spectrum of dilute propan-1-ol in dinrethylsulfoxide solvent. Here, the shift order parallels the chemical order. Arr expansion of the H2-I nrultiplet is included, as is the implicit frequency scale, also referenced here to TMS = 0.
For electronic transitions in electron-atom and heavy-particle collisions at high unpact energies, the major contribution to inelastic cross sections arises from scattering in the forward direction. The trajectories implicit in the action phases and set of coupled equations can be taken as rectilinear. The integral representation... [Pg.2056]

These experiments yield T2 which, in the case of fast exchange, gives the ratio (Aoi) /k. However, since the experiments themselves have an implicit timescale, absolute rates can be obtained in favourable circumstances. For the CPMG experiment, the timescale is the repetition time of the refocusing pulse for the Tjp experiment, it is the rate of precession around the effective RF field. If this timescale is fast witli respect to the exchange rate, then the experiment effectively measures T2 in the absence of exchange. If the timescale is slow, the apparent T2 contains the effects of exchange. Therefore, the apparent T2 shows a dispersion as the... [Pg.2106]

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]

Gonzales C and Schlegel H B 1991 Improved algorithms for reaction path following higher-order implicit algorithms J. Chem. Phys. 95 5853... [Pg.2359]

This expression corresponds to the Arrhenius equation with an exponential dependence on the tlireshold energy and the temperature T. The factor in front of the exponential function contains the collision cross section and implicitly also the mean velocity of the electrons. [Pg.2800]

In an ambitious study, the AIMS method was used to calculate the absorption and resonance Raman spectra of ethylene [221]. In this, sets starting with 10 functions were calculated. To cope with the huge resources required for these calculations the code was parallelized. The spectra, obtained from the autocorrelation function, compare well with the experimental ones. It was also found that the non-adiabatic processes described above do not influence the spectra, as their profiles are formed in the time before the packet reaches the intersection, that is, the observed dynamic is dominated by the torsional motion. Calculations using the Condon approximation were also compared to calculations implicitly including the transition dipole, and little difference was seen. [Pg.309]


See other pages where Implicit is mentioned: [Pg.67]    [Pg.619]    [Pg.660]    [Pg.35]    [Pg.48]    [Pg.65]    [Pg.72]    [Pg.104]    [Pg.207]    [Pg.503]    [Pg.580]    [Pg.728]    [Pg.842]    [Pg.846]    [Pg.852]    [Pg.883]    [Pg.1061]    [Pg.1067]    [Pg.1214]    [Pg.1299]    [Pg.1419]    [Pg.1424]    [Pg.1656]    [Pg.1760]    [Pg.1976]    [Pg.2223]    [Pg.2228]    [Pg.2342]    [Pg.291]    [Pg.385]   
See also in sourсe #XX -- [ Pg.330 ]

See also in sourсe #XX -- [ Pg.108 , Pg.113 , Pg.116 , Pg.121 , Pg.153 , Pg.170 , Pg.202 , Pg.224 , Pg.247 , Pg.263 , Pg.340 , Pg.340 , Pg.358 , Pg.358 , Pg.379 , Pg.379 , Pg.393 , Pg.393 , Pg.394 , Pg.394 , Pg.396 , Pg.396 , Pg.402 , Pg.427 , Pg.429 , Pg.431 , Pg.440 , Pg.444 ]




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ASC implicit solvent models

Accuracy of Implicit Runge-Kutta Methods

Alternate direction implicit method

Alternating direction implicit

Alternating direction implicit (ADI) method

Alternating direction implicit finite-difference

Alternating direction implicit finite-difference method

Alternating direction implicit methods

Alternating-direction implicit finite

Approximate factorization implicit

Approximate factorization implicit methods

Backward implicit

Backward implicit method

Backwards Implicit, BI

Boundary Runge-Kutta implicit methods

Computer based methods implicit method

Computing Implicitly Given ARR Residuals

Conduction implicit scheme

Corrector Equations in Implicit Runge-Kutta Methods

Crank-Nicholson finite-difference implicit

Crank-Nicholson finite-difference implicit method

Crank-Nicolson implicit algorithm

Crank-Nicolson implicit method

Declaration, implicit/ explicit

Difference implicit

Difference scheme implicit

Difference scheme implicit iteration

Discretisation implicit method

Euler algorithm, explicit implicit

Euler implicit

Euler method implicit

Evaluation implicit method

Explicit and Implicit Finite Difference Methods

Explicit and Implicit Methods

Explicit-implicit solvent models

First-Principles Implicit Correlation Functionals

First-order implicit scheme

Full implicit scheme

Function implicit

Implicit Continuum Solvent Models

Implicit Equation

Implicit Estimation

Implicit Least Squares Estimation

Implicit Maximum Likelihood Parameter Estimation

Implicit Methods for Complex Cartesian Domains

Implicit Models for Condensed Phases

Implicit ODE

Implicit Ordinary Differential Equations

Implicit Runge-Kutta methods

Implicit Scheme

Implicit Upwind Discretization of the Scalar Transport Equation

Implicit algebraic loop

Implicit association test

Implicit associations

Implicit assumption

Implicit atoms

Implicit backward Euler approximation

Implicit boundary values

Implicit cognition

Implicit constraints

Implicit dates

Implicit declaration

Implicit density functionals

Implicit deterministic structures

Implicit differentiation

Implicit digital simulation

Implicit finite-difference algorithm

Implicit function theorem

Implicit functions: definition

Implicit integration methods

Implicit integration techniques

Implicit learning

Implicit membrane models

Implicit methods

Implicit methods and stability

Implicit methods improvements

Implicit midpoint method

Implicit models

Implicit numerical methods

Implicit penultimate model

Implicit penultimate unit effect

Implicit perception

Implicit prices

Implicit propagation steps

Implicit scoring

Implicit sequences

Implicit solution

Implicit solvation

Implicit solvation scheme

Implicit solvent binding calculation

Implicit solvent method

Implicit solvent models

Implicit solvent models Subject

Implicit solvent treatment

Implicit solvent/solvation

Implicit solvers

Implicit state space form

Implicit state space solution

Implicit techniques

Implicit techniques ADI

Implicit time dependence

Implicit user costs

Implicit versus explicit modeling

Implicit water models

Implicit-pressure, explicit-saturation

Integration algorithms implicit

Knowing the difference between implicit and explicit scoring

Knowledge implicit

Learning implicit/explicit

Memory, implicit

Michelsen semi-implicit

Model semi-implicit method

Molecular Dynamics with Implicit Solvent

Molecular dynamics simulations implicit solvation model

Multistep methods implicit

Numerical methods implicit method

Numerical solution alternating direction implicit

Numerical solutions implicit finite-difference algorithm

Ordinary differential equations implicit equation

Ordinary differential equations implicit methods

Reduction of cycle numbers in various tasks after full implicit learning

Relative Merits of Explicit and Implicit Solvent Models

Relativistic implicit functionals

Resource sharing implicit

Review of Implicit Functions

Runge semi implicit

Runge-Kutta implicit

Semi-Implicit Method for Pressure-Linked

Semi-implicit Runge—Kutta methods

Semi-implicit methods

Smoothed Velocity-Head Implicit Method (SVHIM

Solutions for Forward, Inverse and Implicit Problems

Solvation explicit/implicit hybrid models

Solvation models implicit

Solvent implicit

Solvent implicit effect

Solvent simulation implicit solvation methodology

Solving the implicit system

Stability of Implicit Runge-Kutta Methods

Stiff Equations and Implicit Methods

Stiff equations implicit methods

Strong Implicit Procedure

Strongly implicit procedure

Strongly implicit procedure modified

Surfaces implicit form

System of implicit non-linear equations the Newton-Raphson method

Targeting analysis implicitly

The Commonly Used Implicit Methods

The Crank-Nicholson implicit method

The Fully Implicit Scheme

The implicit difference method from J. Crank and P. Nicolson

The implicit learning axiom

Thomas algorithm, alternating direction implicit

Thomas algorithm, alternating direction implicit method

Time implicit model equations for the shortcut method

Time-integration scheme Euler implicit

Types of Implicit ODEs

Velocity-head Implicit Method

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