Polarization Fluctuation and Dissipation in Out of EquilibriumSystemsSystems characterized by slow dynamics can bedriven to out of thermodynamic equilibrium states bymeans of a rapid change of appropriate externalvariables, for instance a temperature jump taking aliquid down to a glassy state. After such treatment,the system tends to relax to the thermodynamicequilibrium state, and the properties (dynamic,thermodynamic, mechanical) of the system dependon t w, the time elapsed after the achievement of theout of equilibrium state [1]. In an out-of-equilibriumsystem the response to a small externalperturbation, especially at long time, is not longerrelated, via the temperature of the thermal bath, tothe spontaneous fluctuations of the variable undertest, as pre<strong>di</strong>cted by the fluctuation-<strong>di</strong>ssipationtheorem (FDT) [2], since both the fluctuations andFig. 1. (a) Normal probability plot and (b) voltagevs. time series at tw=30 min. after a quenching at278 K. (c) and (d) show the same plots atequilibrium after a slow cooling at 278 K. Crossesare the experimental values. Straight lines in (a)and (c) show the expected values for a Gaussian<strong>di</strong>stribution. Voltage values are amplified by the gainof the amplifier (factor 1800).the response depend on the thermal history of thesystem. In such situation the temperature of thesystem is not well defined any more, and it cannotbe used as an unique parameter able to describe thedynamic behaviour. Recently, the dynamics of outof-equilibriumsystems has been tentativelydescribed by introducing a temperature (fictive), T eff,defined by a generalization of the FDT [2]. Such aparameter should take into account the thermalhistory in the new thermodynamic description of outof-equilibriumsystems. Apart from the number ofsimulation works verifying the violation of the FDT inout-of-equilibrium systems, experimental worksconcerning glassy systems are almost missing. Wedeveloped an apparatus to measure simultaneouslythe complex permittivity (susceptibility) by <strong>di</strong>electricspectroscopy and the polarization fluctuations(correlation function) observed via the voltage noise,produced by a capacitor cell filled with the glassformerunder test [3]. We performed measurementson an epoxy organic glass former both above andbelow the glass transition temperature. Thepolarization noise followed the pre<strong>di</strong>ctions of the FDTwhen the material is at the thermodynamicequilibrium state or weakly out. In the out-ofequilibriumstate an intense polarization noise wasdetected, much more than that measured atequilibrium (Fig. (1b) and (1d)). A non-Gaussian<strong>di</strong>stribution of the probability density function of thepolarization fluctuations was observed imme<strong>di</strong>atelyafter a rapid quenching of the sample below theglass transition temperature (Fig (1a) and (1c)). Thewidth of the <strong>di</strong>stribution reduced during aging and itsshape tended towards a Gaussian <strong>di</strong>stribution as theequilibrium state was approached [3]. T eff wascalculated for the dynamics properties in three<strong>di</strong>fferent frequency regions and for <strong>di</strong>fferent valuesof the temperature of the thermal bath, T b (Fig. (2))[3]: (a) at the highest frequency (20 Hz) the FDTrelation holds above and below T g with T eff=T b (seeinset); (b) at the lowest frequency (0.2 Hz) a strongdeviation from the FDT pre<strong>di</strong>ction occurs just fewdegrees above T g and T eff reaches huge values (>105K) at lower temperatures; (c) at 2 Hz the deviationfrom FDT occurs below T g and the values of T eff areinterme<strong>di</strong>ate compared to the cases (a) and (b).References[1] Statistical Physics II, R. Kubo, M.Toda andN.Hashitsume (Springer Ser. on Solid-State Sci.,vol.31 Berlin, Heidelberg, 1992).[2] L.F.Cugliandolo, J.Kurchan, L.Peliti, Phys.Rev.E.55, 3898 (1997).[3] M. Lucchesi, A. Dominjon, S. Capaccioli, D.Prevosto, P.A. Rolla accepted on Journal of Non-Crystallyne Solids.Fig. 2. Effective temperature T eff calculated at three<strong>di</strong>fferent frequencies. Lines are guide for the eyes.Inset shows an enlarged view for the range aboveTg, straight line represents T eff=T.AuthorsS. Capaccioli (a), M. Lucchesi (b,c), A. Dominjon (b),D. Prevosto (b,c), P. Rolla (b,c)(a) CNR-INFM, CRS-<strong>Soft</strong> and Dip. <strong>Fisica</strong> “E. Fermi”Univ. Pisa. (b) Dip. <strong>Fisica</strong> “E. Fermi” Univ. Pisa and(c) CNR-INFM Polylab Largo B. Pontecorvo 3, Pisa.61SOFT Scientific <strong>Report</strong> 2004-06
Scientific <strong>Report</strong> – Non Equilibrium Dynamics and ComplexityRelation Between Thermodynamic and Dynamic Properties inGlass FormersThe investigation of the glass transition phenomenonis a central topic in the field of amorphous condensedmatter. In fact, the understan<strong>di</strong>ng of the glasstransition phenomenon can improve the knowledgeof materials used in the fields of pharmaceutical andme<strong>di</strong>cal applications, food-packaging, plasticelectronics, and more generally amorphousmaterials. Several investigations performed bystudying dynamic properties of glass formerssystems varying pressure, P, and temperature, T,revealed that reduction of thermal energy and ofdensity play an equally important role in thevitrification process [1]. The Adam and Gibbs (AG)theory of glass transition includes both thesecontributions since it relates the increase ofstructural relaxation time, τ, occurring onapproaching the glass transition, to the reduction ofconfigurational entropy, S c, by [2],⎛ CT,P)= τ exp⎜⎝ TSc⎞⎟⎠AGτ (0(1)log(1/τ max[s -1 ])log(1/τ max[s -1 ])log(1/τ max[s -1 ])4.0TPC3.53.02.52.01.51.00.84 0.86 0.88 0.90 0.92 0.94 0.96 0.98 1.00 1.02 1.04543265432101.00 1.05 1.10 1.15 1.20 1.25 1.30 1.35 1.401.5x10 -3 2.0x10 -3 2.5x10 -3 3.0x10 -3 3.5x10 -3 4.0x10 -310 4 X [J -1 mol]OTPPMMAFig. 1: Logarithmic of the inverse of relaxation timelog(1/τ max) (symbols) as a function of X∝(TS C) -1 , forTPC (0.1-69 MPa), OTP (0.1-79 MPa), and PMMA(0.1-200 MPa). Different symbols for the samesystem correspond to <strong>di</strong>fferent values of pressure.where τ 0 the value of τ in the limit of infinite (TS c),and C AG assumed as a constant. Since the AG theoryincludes the contributions of the thermal energy andof the density, it appears as a suitable theory for theinterpretation of the glass transition phenomenon.Unfortunately, the configurational entropy is not aquantity that can be experimentally determined, andthis shortage represented a big limitation in theapplicability of this theory.Recently, we proposed a phenomenological model toestimate the configurational entropy as a function oftemperature and pressure, basing on calorimetricand thermal expansion data [4]. By this expressionof S c we extended the use of the AG Eq. (1), whichat the beginning was used to consider temperaturevariations, to take into account also the effect ofpressure on the dynamic properties of the materials.The relation we proposed relates thermodynamicquantities, such as molecular volume and heatcapacity, to dynamic ones (relaxation dynamics).The proposed equation, tested on systems wherethermodynamics and dynamics data were available,revealed to relate such quantities. In Fig. 1 a fewexamples of the obtained results are shown for three<strong>di</strong>fferent materials: o-terphenyl (OTP),triphenylchloromethane (TPC) and poly (methylmethacrylate) (PMMA). The logarithm of the inverseof relaxation time, measured for <strong>di</strong>fferent values oftemperature and pressure, is plotted as a function ofa quantity inversely proportional to S c. Each symbolrefers to a <strong>di</strong>fferent value of pressure. For eachsystem all the data can be reproduced by a singlelinear equation. Due to the good quantitativeagreement with experimental data, the model can beused to pre<strong>di</strong>ct the dynamic properties at highpressure when few quantities (isothermalcompressibility, ambient temperature calorimetriccurve, relaxation time at ambient pressure) areknown.References[1] M. L. Ferrer, et al. J.Chem.Phys. 109, 8010(1998); C.M. Roland, R. Casalini Macromol. 36, 1361(2003).[2] G.Adam, J.H.Gibbs J.Chem.Phys. 28,139 (1965).[3] D. Prevosto, S. Capaccioli, R. Casalini, M.Lucchesi, P.A. Rolla Phys. Rev. B 174202, 67(2003) ; D. Prevosto, S. Capaccioli, M. Lucchesi, D.Leporini, P.A. Rolla, J. Phys.: Condens. Matter 16,6597 (2004); S. Capaccioli, M. Lucchesi, D. Prevosto,R. Casalini, P.A. Rolla, Philosophical Magazine B, 84,1513-1519, (2004)Authors:S. Capaccioli (a), D. Prevosto (b), M. Lucchesi (b), P.Rolla (b)(a) CNR-INFM, CRS-<strong>Soft</strong> and Dip. <strong>Fisica</strong> “E. Fermi”Univ. Pisa. (b) Dip. <strong>Fisica</strong> “E. Fermi” Univ. Pisa andCNR-INFM Polylab Largo B. Pontecorvo 3, Pisa.SOFT Scientific <strong>Report</strong> 2004-0662
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