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Magnetic systems, thermodynamics

We will illustrate the proof of equation (13.5) as an example of the application of conventional thermodynamics to this problem. Let C be the heat capacity of a magnetic system at constant field strength, M be the magnetization, and Xt = (dM/dW)T be the magnetic susceptibility. From Table 13.2 we can see that just below the critical temperature ... [Pg.106]

The presence of the higher order harmonics of the magnetic helix in the incommensurate phase is characteristic for the temperature interval where the Lifshits invariant is comparable with an anisotropy invariant [11], For magnetic systems with a one-parametric thermodynamic potential the propagation vector q is not equal to zero already at the temperature where the system orders, T1 =TP. As an anisotropy invariant is proportional to rj for a crystal with tetragonal symmetry, then it becomes comparable with Lifshits invariant proportional to q t] 2 much below Ti near the transition into a low-temperature commensurate phase. However, in copper metaborate q grows sharply from approximately zero at temperature 7) < Tp (Fig. 7) [5],... [Pg.63]

Electrodeposited Me alloys are of great practical importance because of their unconventional electric, magnetic, mechanical and protective properties. The problem of electroplating of alloys is related to the processes of codeposition of metals from multicomponent electrolyte systems. Thermodynamic and kinetic aspects of electrochemical codeposition of metals and the processes of alloy phase formation have been discussed in details by Brenner [6.134], Gorbunova and Polukarov [6.135] and Despic [6.136]. [Pg.280]

The above expressions show that the key analysis of a single-chain magnet system is the comparison between susceptibility and relaxation data. In fact, the observation of an activated relaxation time is not characteristic of SCM behavior (a similar behavior is obtained for other systems like SMMs) and a discussion based only on the dynamic data remains highly ambiguous. The situation is different if the thermodynamic and dynamic properties are compared as A can be deduced from susceptibility data and then considered to... [Pg.181]

The thermodynamics of magnetic systems have a solid theoretical foundation for example, in the case of ideal gases, the conventional pressure-volume-temperature (PVT) basis is replaced by the magnetic field-... [Pg.337]

Infrared singular behaviour is characterized by power law singularities in thermodynamic quantities with singular (or critical) exponents which usually vary continuously with system parameters. Depending on the physical interpretation of these parameters in the different situations, this implies 1) and 2) singular ground-state properties, a special particle spectrum and instabilities for correlation functions 3) the phase transition of continuous order for 2-d magnetic systems and other systems with continuous... [Pg.27]

In the neighborhood of the critical point, various thermodynamic and statistical-mechanical quantities show singular behaviors. We adopt the notations introduced by Fisher to represent the critical behavior for the following quantities (these quantities applicable for a fluid can also be translated into thermodynamic quantities for a magnetic system see Ref. 7) ... [Pg.446]

It is well known that the entropy of an isolated system reaches its maximum value at equilibrium so that any fluctuation of the thermodynamic parameters results with a decrease in the entropy. In response to such a fluctuation, entropy-producing irreversible process spontaneously drive the system back to equilibrium. Consequently, the state of equilibrium is stable to any perturbation that reduces the entropy. In contrast, one can state that if the fluctuations are groving, the system is not in equilibrium. The fluctuations in temperature, volume, magnetization, kuadrupole moment, etc. are quantified by their magnitude such as ST, SV, SM and SQ the entropy of a magnetic system is a function of these parameters in general one can expand the entropy as power series in terms of these parameters ... [Pg.257]

Monte Carlo simulations An alternative strategy to calculate thermodynamic properties is to explicitly follow the trajectory of a magnetic system by a computer simulation of the system. Along such trajectory, the system will adopt many conformations with different energy, magnetization and other microscopic observables. If the sampling of the conformational space is done correctly, a good estimate of the partition function can be made and with this all type of thermodynamic functions can be calculated. [Pg.85]

Basic thermodynamics, statisticai thermodynamics, third-iaw entropies, phase transitions, mixtures and soiutions, eiectrochemicai systems, surfaces, gravitation, eiectrostatic and magnetic fieids. (in some ways the 3rd and 4th editions (1957 and 1960) are preferabie, being iess idiosyncratic.)... [Pg.377]

Modem scaling theory is a quite powerful theoretical tool (appHcable to Hquid crystals, magnets, etc) that has been well estabUshed for several decades and has proven to be particularly useful for multiphase microemulsion systems (46). It describes not just iuterfacial tensions, but virtually any thermodynamic or physical property of a microemulsion system that is reasonably close to a critical poiat. For example, the compositions of a microemulsion and its conjugate phase are described by equations of the foUowiug form ... [Pg.152]


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See also in sourсe #XX -- [ Pg.337 ]




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