Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Dissipative systems models

In realistic systems, the separation of the modes according to their frequencies and subsequent reduction to one dimension is often impossible with the above-described methods. In this case an accurate multidimensional analysis is needed. Another case in which a multidimensional study is required and which obviously cannot be accounted for within the dissipative tunneling model is that of complex PES with several saddle points and therefore with several MEPs and tunneling paths. [Pg.11]

Once the door was opened to these new perspectives, the works multiplied rapidly. In 1968 an important paper by Prigogine and Rene Lefever was published On symmetry-breaking instabilities in dissipative systems (TNC.19). Clearly, not any nolinear mechanism can produce the phenomena described above. In the case of chemical reactions, it can be shown that an autocatalytic step must be present in the reaction scheme in order to produce the necessary instability. Prigogine and Lefever invented a very simple model of reactions which contains all the necessary ingerdients for a detailed study of the bifurcations. This model, later called the Brusselator, provided the basis of many subsequent studies. [Pg.13]

Results for two types of model systems are shown here, each at the two different inverse temperatures of P = 1 and P = 8. For each model system, the approximate correlation functions were compared with an exact quantum correlation function obtained by numerical solution of the Schrodinger equation on a grid and with classical MD. As noted earlier, testing the CMD method against exact results for simple one-dimensional non-dissipative systems is problematical, but the results are still useful to help us to better imderstand the limitations of the method imder certain circumstances. [Pg.61]

Note that the Gibb s partition of the micro entropy above is not maximum for a near equilibrium situation. This follows from the fact that the function -xlnx 0 < x < 1, has a maximum for x = /e. Assuming that our correlation model in a more realistic dissipative system of varying occurrence of base pairs would prefer a "close to equilibrium" entropy, we find that a recalculation of our parameters above yields the trend... [Pg.136]

Models for the dissipative dynamics can frequently be based on the assumption of fast decay of memory effects, due to the presence of many degrees of freedom in the s-region. This is the usual Markoff assumption of instantaneous dissipation. Two such models give the Lindblad form of dissipative rates, and rates from dissipative potentials. The Lindblad-type expression was originally derived using semigroup properties of time-evolution operators in dissipative systems. [45, 46] It has been rederived in a variety of ways and implemented in applications. [47, 48] It is given in our notation by... [Pg.150]

Summary. We discuss the concept of the Berry phase in a dissipative system. We show that one can identify a Berry phase in a weakly-dissipative system and find the respective correction to this quantity, induced by the environment. This correction is expressed in terms of the symmetrized noise power and is therefore insensitive to the nature of the noise representing the environment, namely whether it is classical or quantum mechanical. It is only the spectrum of the noise which counts. We analyze a model of a spin-half (qubit) anisotropically coupled to its environment and explicitly show the coincidence between the effect of a quantum environment and a classical one. [Pg.12]

Photosynthetic model systems have recently been exhaustively reviewed elsewhere [5, 6, 218] and a number of results are given in the latest literature [219-224]. The attention of the researchers is focused on topics such as electron-transfer chain and energy dissipation within models (the first step is the transfer of an electron from a metallotetrapyrrole moiety yielding a cation radical) the dependences of the electron-transfer rate constant on the driving force of the process distance and mutual orientation of donor and acceptor sites influences of membranes and medium (solvent) properties, etc. [Pg.173]

In realistic systems the separation of the modes by their frequencies and subsequent reduction to one dimension with the methods described above is often not possible. In this case an accurate multidimensional analysis is needed. Another case in which a multidimensional study is required and which obviously cannot be accounted for within the dissipative tunneling model is that of a complex PES with several saddle points and therefore several MEPs and tunneling paths. Whereas the goal of the previous models is to carry out analytical calculations and gain insight into the physical picture, the multidimensional calculations are expected to give a quantitative description of concrete chemical systems. However, at present we are just at the beginning of this process, and only a few examples of numerical multidimensional computations, mostly on rather idealized PES s, have been performed so far. Nonetheless, these... [Pg.13]

The works on equilibrium modeling of dissipative systems include four natural components ... [Pg.4]

QCM-D measurements that include dissipation allow a more accurate estimate of mass changes through application of Voigt model that takes into account the viscoelastic properties of the system. Modeling software QTools supphed by Q-Sense uses the full thick layer expressions to model the response. Here, this program has been used to estimate the mass, thickness, viscosity, and shear elastic modulus of the adsorbed pectin layer on BSA surface, with a best fit between the experimental and model/and D values. [Pg.134]

Recently, some very simple cellular automata models of such randomly driven dissipative systems have been developed and have been studied extensively. It has been shown that the dynamics of such models leads to a critical state characterised by power laws induced by stochastically developed self-similarities in the system. One such popular model, known as the BTW model, introduced by Bak et al (1987,1988), attempts to capture the avalanche dynamics of a sandpile where the sand grains are being added to the pile at a constant rate. The model has been studied extensively, both numerically and analytically, and the existence of the self-organised criticality in the model has been established. [Pg.28]

This distinction between a < and a = exemplifies a broader theme in nonlinear dynamics. In general, if a map or flow contracts volumes in phase space, it is called dissipative. Dissipative systems commonly arise as models of physical situations involving friction, viscosity, or some other process that dissipates energy. In contrast, area-preserving maps are associated with conservative systems, particularly with the Hamiltonian systems of classical mechanics. [Pg.429]

It is obvious that in the real physical situations we are not able to avoid dissipation processes. For dissipative systems, we cannot take an external excitation too weak (the parameter e cannot be too small) since the field interacting with the nonlinear oscillator could be completely damped and hence, our model could become completely unrealistic. Moreover, the dissipation in the system leads to a mixture of the quantum states instead of their coherent superpositions. Therefore, we should determine the influence of the damping processes on the systems discussed here. To investigate such processes we can utilize various methods. For instance, the quantum jumps simulations [38] and quantum state diffusion method [39] can be used. Description of these two methods can be found in Ref. 40, where they were discussed and compared. Another way to investigate the damping processes is to apply the approach based on the density matrix formalism. Here, we shall concentrate on this method [12,41,42]. [Pg.206]

Classical mechanics provides the least ambiguous statement of the nature of chaotic motion, with chaos also defined through a heirarchy of ideal model systems. We note, at the outset, that isolated molecule dynamics relates to chaotic motion in conservative Hamiltonian systems. This is distinct from chaotic motion in dissipative systems where considerable simplifications result from the reduction in degrees of freedom during evolution10 and where objects such as strange attractors and fractal dimensions play an important role. [Pg.369]

While Belousov was describing his e)q)eriments into oscillatory chemical reactions, Ilya Prigogine in Brussels was developing theoretical models of nonequilibrium thermodynamics and ended with the notion of "structure dissipative" for which he was awarded the 1977 Nobel Prize in Chemistry. The concept of "Dissipative Structure" is ejq)licitly mentioned in the Nobel quotation "The 1977 Nobel Prize in Chemistry has been awarded to Professor Ilya Prigogine, Brussels, for his contributions to non-equilibrium thermodynamics, particularly the theory of dissipative structures". In the first half of the 1950s, Glansdorff and Balescu defined with Prigogine the thermodynamic criteria necessary for oscillatory behavior in dissipative systems [7]. Nicohs and Lefever then applied these to models of autocatalytic reactions [8]. [Pg.5]

Taking account of stationary process on the negligibly small trajectory section we can make sure that the product G-r (r - time) is minimum, i.e. the principle of the least action is observed. Relations between the principles of conservative and dissipative systems were considered by the authors in (Kaganovich, 2011 Kaganovich et al., 2007, 2010). Below they will be additionally discussed in brief on the example of the models of hydraulic circuits. [Pg.41]

As opposed to the described MEIS with variable parameters and the mechanisms of physicochemical processes in this case we will try to determine the objective function of applied model for a dissipative system based on the equilibrium principle of conservative systems, i.e. the Lagrange principle of virtual works. Derivation will be given on the example of the closed (not exchanging the fluid flows with the environment) active (with sources of motive pressures) circuit. The simplest scheme of such a circuit is presented in Fig. 3,a. A common character of the chosen example is explained by the easiness of passing to other possible schemes. For example, if at the modeled network nodes there are external... [Pg.46]

Similar findings for coupled bound-state systems are reported for several model studies by Stock and Domcke [55, 56]. For dissipative systems Zewail and his group [329, 315] observed a step function superimposed on... [Pg.73]

P6rez-Madrid, A. (2005). A model for nonexponential relaxation and aging in dissipative systems,. Chem. Phys. 122 214914. [Pg.129]

Caldeira, A. O., A. H. Castro Neto, and T. Oliveira de Carvalho. 1993. Dissipative quantum systems modeled by a two-level-reservoir couphng. Physical Review B 48 (18) 13974-13976. [Pg.202]


See other pages where Dissipative systems models is mentioned: [Pg.2]    [Pg.701]    [Pg.226]    [Pg.2]    [Pg.34]    [Pg.352]    [Pg.18]    [Pg.32]    [Pg.117]    [Pg.262]    [Pg.91]    [Pg.641]    [Pg.4]    [Pg.971]    [Pg.533]    [Pg.88]    [Pg.242]    [Pg.271]    [Pg.971]    [Pg.114]    [Pg.111]    [Pg.200]    [Pg.711]   
See also in sourсe #XX -- [ Pg.66 , Pg.67 , Pg.68 , Pg.69 , Pg.70 , Pg.71 , Pg.72 ]

See also in sourсe #XX -- [ Pg.66 , Pg.67 , Pg.68 , Pg.69 , Pg.70 , Pg.71 , Pg.72 ]




SEARCH



Dissipative macroscopic systems equilibrium thermodynamic modeling

Dissipative systems phenomenological modeling

© 2024 chempedia.info