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Resultant Dynamics

V. SIMULATIONAL RESULTS—DYNAMIC PROPERTIES A. Kinetics of Relaxation to Equilibrium... [Pg.537]

Since equation 8.4 can be trivially solved for Oi t - 1) (= 4 [aj t) A/)] 0/c ai t + 1)), we see that any pair of consecutive configurations uniquely specifies the backwards trajectory of the system. Moreover, this statement holds true for arbitrary (and, in particular, irreversible) functions < ). An important consequence of this, first pointed out by Fredkin [vich84a], is that a numerical roundoff in digital computers need not necessarily result in a loss of information. In particular, if the computation is of the form given by equation 8.4, where roundoff error, the resulting dynamics will nonetheless be reversible and no information will be lost throughout the computation. ... [Pg.374]

Vary the equilibrium constant M and study its effect on the resulting dynamic behaviour. [Pg.530]

Rubber-like models take entanglements as local stress points acting as temporary cross finks. De Cloizeaux [66] has proposed such a model, where he considers infinite chains with spatially fixed entanglement points at intermediate times. Under the condition of fixed entanglements, which are distributed according to a Poisson distribution, the chains perform Rouse motion. This rubber-like model is closest to the idea of a temporary network. The resulting dynamic structure factor has the form ... [Pg.47]

For a molecular crystal, the internal modes tend to be q independent and thus appear as horizontal lines in Fig. 2.1 n is then equal to the number of molecules M in the cell, leading to a considerable simplification. The resulting dynamical matrix has 6M x 6M elements, considering both translational and rotational motions, and atom-atom potential functions may be used for its evaluation. Dispersion curves obtained in this manner for anthracene and naphthalene, are illustrated in Fig. 2.2. [Pg.26]

When observed structure factors are used, the thermally averaged deformation density, often labeled the dynamic deformation density, is obtained. An attractive alternative is to replace the observed structure factors in Eq. (5.8) by those calculated with the multipole model. The resulting dynamic model deformation map is model dependent, but any noise not fitted by the muitipole functions will be eliminated. It is also possible to plot the model density directly using the model functions and the experimental charge density parameters. In that case, thermal motion can be eliminated (subject to the approximations of the thermal motion formalism ), and an image of the static model deformation density is obtained, as discussed further in section 5.2.4. [Pg.94]

Remarkably, when our general ME is applied to either AN or PN in Section 4.4, the resulting dynamically controlled relaxation or decoherence rates obey analogous formulae provided the corresponding density matrix (generalized Bloch) equations are written in the appropriate basis. This underscores the universality of our treatment. It allows us to present a PN treatment that does not describe noise phenomenologically, but rather dynamically, starting from the ubiquitous spin-boson Hamiltonian. [Pg.140]

Nonlinear versus Linear Models If V, F, and k are constant, then Eq. (8-1) is an example of a linear differential equation model. In a linear equation, the output and input variables and their derivatives appear to only the first power. If the rate of reaction were second-order, then the resulting dynamic mass balance would be... [Pg.7]

One should note that the MEPs shown are not true dynamical paths, which of course can only be obtained by dynamical calculations. We have carried these out [6,9] using several different dynamical descriptions, including surface hopping trajectories [95,96]. The resulting dynamical path for the slow solvent is reasonably similar to the MEP, but this is not the case for the fast solvent, a point to which we return below. A further dynamical study [6] has compared, for the fast solvent case using surface hopping trajectories, the dynamics with the present nonequilibrium solvation description to those when equilibrium solvation is assumed. This is the most favorable case for the validity... [Pg.443]

An extensive literature survey shows that very little attention has been given to modelling and simulation of batch reactive distillation, let alone optimisation of such process. The published literature deals with the mathematical modelling and numerical integration of the resulting dynamic equations systems, with few presenting computer simulation vs experimental results. Only few authors have discussed the design, control and optimal operational aspects of batch reactive distillation processes. [Pg.270]

Under more realistic reaction parameters, only a spatially one-dimensional solution could be obtained. Here it was assumed that the gas flow over the whole cross sectional area was reduced uniformly to 1/4 at time zero. The resulting dynamics are given in Figure 8. In this case the transient temperature is so high that the fluid concentration is completely consumed and the reaction zone moves like a front through the whole reactor. Finally a flat steady state temperature profile is established again. [Pg.139]

The reactor model available in Aspen Dynamics [16] only provides the possibility of changing the coolant temperature. Figure 10.12 shows results dynamic simulation results, for the following scenario the plant is operated at the nominal steady state for lh. Then, the coolant temperature is increased from 413 to 425 K and simulation is continued for 2 h. The maximum temperature inside the reactor... [Pg.308]

Femtosecond spectroscopy has an ideal temporal resolution for the study of ultrafast water motions from femtosecond to picosecond time scales [33-36]. Femtosecond solvation dynamics is sensitive to both time and length scales and can be a good probe for protein hydration dynamics [16, 37-50]. Recent femtosecond studies by an extrinsic labeling of a protein with a dye molecule showed certain ultrafast water motions [37-42]. This kind of labeling usually relies on hydrophobic interactions, and the probe is typically located in the hydrophobic crevice. The resulting dynamics mostly reflects bound water behavior. The recent success of incorporating a synthetic fluorescent amino acid into the protein showed another way to probe protein electrostatic interactions [43, 48]. [Pg.85]

This was achieved using dynamic simulated annealing , which is a technique in molecular dynamics, and combining it with DFT theory the resulting dynamical equations being solved simultaneously rather than sequentially. [Pg.156]

Indeed, when we studied various phosphoric acid catalysts for the reductive amination of hydratopicaldehyde (16) with p-anisidine (PMPNH2) in the presence of Hantzsch ester 11 to give amine 17, the observed enantioselectivities and conversions are consistent with a facile in situ racemization of the substrate and a resulting dynamic kinetic resolution (Scheme 16). TRIP (9) once again turned out to be the most effective and enantioselective catalyst for this transformation and provided the chiral amine products with different a-branched aldehydes and amines in high enantioselectivities (Hoffmann et al. 2006). [Pg.22]

H-NMR spectroscopy. The resulting dynamic one-pot tandem system, generated from these compounds and acetylthiocholine, reached equilibrium in short time. [Pg.65]

The resulting dynamic nitroaldol system was subsequently challenged with lipase-catalyzed transesterification reactions using different lipases and operational... [Pg.69]

H-NMR spectroscopy was used to study the dynamic cyanohydrin systems, following the aldehyde protons and the 7.-protons of the intermediates and ester products at different time intervals. Because of their similar structures, the a-protons of the cyanohydrin intermediates and ester products were detected in the same regions, 5.40-5.95 and 6.30-6.70 ppm, respectively, in the NMR spectra as shown in Fig. 6. The dynamic cyanohydrin system reached equilibrium in 3 h (Fig. 6a). As can be seen, cyanohydrin intermediates 25A and 25C were formed as major intermediates, while intermediates 25B, 25D, and 25E have similar ratios and were formed as minor intermediates in the dynamic system. The resulting dynamic system was proven to be stable without any side reactions within several days. [Pg.71]

The resulting dynamic aminonitrile systems were first subjected to lipase mediated resolution processes at room temperature. A-Methy] acetamide was observed as a major product from the lipase amidation resolution. In this case, free methylamine A was generated during the dynamic transimination process and transformed by the lipase. To avoid this by-reaction, the enzymatic reaction was performed at 0 °C, and the formation of this amide was thus detected at less than 5% conversion. To circumvent potential coordination, and inhibition of the enzyme by free Zn(II) in solution [54], solid-state zinc bromide was employed as a heterogeneous catalyst for the double dynamic system at 0 °C. The lipase-catalyzed amidation resolution could thus be used successfully to evaluate /V-substituted a-aminonitrile substrates from double dynamic systems in one-pot reactions as shown in Fig. 7d. Proposedly, the heterogeneous catalyst interfered considerably less or not at all in the chemo-enzymatic reaction because the two processes are separated from each other. Moreover, the rate of the by-reaction was reduced due to strong chelation between the amine and zinc bromide in the heterogeneous system. [Pg.76]

The ability of nucleic acids to act as templates for self-replication is a fundamental process in Nature s chemistry. The Rebek group have employed both templat-ing and recognition effects for the production of assembled "systems that promote replication of the templating molecule. An important feature of this work is the fact that the presence of the usual weak intermolecular forces allowed the corresponding host-guest complexes to form and dissipate rapidly. The resulting dynamic behaviour provides an environment for an efficient autocatalytic replication process to occur. [Pg.44]


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Averages, molecular dynamics results

Charge-transfer dynamics, nonadiabatic results

Comparison of Dynamic Mechanical and Dielectric Results

Dynamic Mechanical and Dielectric Results

Dynamic Results

Dynamic Results

Dynamic Simulation Results

Dynamic mechanical thermal analysis results

Dynamics results file

Fluid dynamics experimental results

General dynamic equation experimental results

Importing Dynamic Results into Matlab

Intramolecular dynamics experimental results

Mechanical-dynamical results

Molecular dynamics numerical results

Molecular dynamics results analysis

NSE Results on Chain Specific Effects Limiting the Rouse Dynamics

Noisy force, polyelectrolyte dynamics, polymer results

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