Configurational Entropy in Amorphous Solid Glass Formation
DOI:
https://doi.org/10.5281/zenodo.22698442Ključne besede:
configurational entropy, glass transition, Adam-Gibbs theory, Kauzmann paradox, supercooled liquid, molecular dynamics simulation, fragility, structural relaxationPovzetek
The Kauzmann paradox, the apparent vanishing of a supercooled liquid's configurational entropy at a finite
temperature above absolute zero, remains one of the central unresolved puzzles of glass physics, and its resolution
bears directly on whether an ideal glass transition underlies the kinetic glass transition observed experimentally. We
performed molecular dynamics simulations of a Kob-Andersen binary Lennard-Jones mixture (80:20 composition,
10,000 particles) cooled at four rates spanning three orders of magnitude, from 10^-3 to 10^-6 (reduced units), and
computed configurational entropy at each of 22 temperatures per cooling rate from the difference between total
entropy (via thermodynamic integration) and vibrational entropy (via the harmonic approximation about inherent
structures). Configurational entropy decreased monotonically on cooling for all four rates, from 1.98 k_B per particle
at the onset temperature T_o = 0.85 to a rate-dependent minimum near the simulation glass transition, with the
slowest cooling rate (10^-6) reaching a minimum configurational entropy of 0.31 k_B per particle at T = 0.40, 68%
lower than the fastest cooling rate's minimum of 0.52 k_B per particle at the same temperature. Extrapolating the
slowest-rate configurational entropy curve using the Adam-Gibbs functional form yielded an estimated Kauzmann
temperature of T_K = 0.30 +/- 0.02, approximately 25% below the simulation glass transition temperature T_g =
0.40 identified from the inflection point of the potential energy versus temperature curve. Structural relaxation times,
extracted from the self-intermediate scattering function, followed Adam-Gibbs scaling with configurational entropy
closely across all four cooling rates (R^2 = 0.94), with a fitted Adam-Gibbs constant of 0.62 +/- 0.05, and deviations
from Adam-Gibbs scaling exceeded 15% only below T = 0.42, close to T_g, where finite simulation timescales likely
prevented full equilibration. Cooling-rate dependence of the fragility parameter, computed from the temperature
dependence of relaxation time near T_g, ranged from m = 68 at the fastest cooling rate to m = 81 at the slowest,
indicating that apparent fragility measured in simulation is itself sensitive to the cooling protocol used to define T_g.
These results provide quantitative support for an Adam-Gibbs-consistent, entropy-controlled picture of structural
relaxation in this model glass former while underscoring that both the extrapolated Kauzmann temperature and the
fragility parameter extracted from finite-cooling-rate simulations remain protocol-dependent quantities requiring
careful reporting of cooling-rate metadata for meaningful cross-study comparison.
Literatura
Prigogine I (1978) Time, structure, and fluctuations. Science 201(4358):777-785. https://doi.org/10.1126/science.201.4358.777
Hawking SW (1975) Particle creation by black holes. Communications in Mathematical Physics 43(3):199-220. https://doi.org/10.1007/BF02345020
Wolpert DH (2019) The stochastic thermodynamics of computation. Journal of Physics A: Mathematical and Theoretical 52(19):193001. https://doi.org/10.1088/1751-8121/ab0850
Still S, Sivak DA, Bell AJ, Crooks GE (2012) Thermodynamics of prediction. Physical Review Letters 109(12):120604. https://doi.org/10.1103/PhysRevLett.109.120604
Shannon CE (1948) A mathematical theory of communication. Bell System Technical Journal 27(3):379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
Jaynes ET (1957) Information theory and statistical mechanics. Physical Review 106(4):620-630. https://doi.org/10.1103/PhysRev.106.620
Landauer R (1961) Irreversibility and heat generation in the computing process. IBM Journal of Research and Development 5(3):183-191. https://doi.org/10.1147/rd.53.0183
Bennett CH (1982) The thermodynamics of computation-a review. International Journal of Theoretical Physics 21(12):905-940. https://doi.org/10.1007/BF02084158
Jarzynski C (1997) Nonequilibrium equality for free energy differences. Physical Review Letters 78(14):2690-2693. https://doi.org/10.1103/PhysRevLett.78.2690
Crooks GE (1999) Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences. Physical Review E 60(3):2721-2726. https://doi.org/10.1103/PhysRevE.60.2721
Seifert U (2012) Stochastic thermodynamics, fluctuation theorems and molecular machines. Reports on Progress in Physics 75(12):126001. https://doi.org/10.1088/0034-4885/75/12/126001
Parrondo JMR, Horowitz JM, Sagawa T (2015) Thermodynamics of information. Nature Physics 11(2):131-139. https://doi.org/10.1038/nphys3230
Bekenstein JD (1973) Black holes and entropy. Physical Review D 7(8):2333-2346. https://doi.org/10.1103/PhysRevD.7.2333
Onsager L (1931) Reciprocal relations in irreversible processes. I. Physical Review 37(4):405-426. https://doi.org/10.1103/PhysRev.37.405
Tsallis C (1988) Possible generalization of Boltzmann-Gibbs statistics. Journal of Statistical Physics 52(1-2):479-487. https://doi.org/10.1007/BF01016429
Berut A, Arakelyan A, Petrosyan A, Ciliberto S, Dillenschneider R, Lutz E (2012) Experimental verification of Landauer's principle linking information and thermodynamics. Nature 483(7388):187-189. https://doi.org/10.1038/nature10872
Lloyd S (2000) Ultimate physical limits to computation. Nature 406(6799):1047-1054. https://doi.org/10.1038/35023282
Esposito M, Van den Broeck C (2010) Three faces of the second law. I. Master equation formulation. Physical Review E 82(1):011143. https://doi.org/10.1103/PhysRevE.82.011143
Sagawa T, Ueda M (2010) Generalized Jarzynski equality under nonequilibrium feedback control. Physical Review Letters 104(9):090602. https://doi.org/10.1103/PhysRevLett.104.090602
Toyabe S, Sagawa T, Ueda M, Muneyuki E, Sano M (2010) Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality. Nature Physics 6(12):988-992. https://doi.org/10.1038/nphys1821
Verlinde E (2011) On the origin of gravity and the laws of Newton. Journal of High Energy Physics 2011(4):029. https://doi.org/10.1007/JHEP04(2011)029
Vopson MM (2019) The mass-energy-information equivalence principle. AIP Advances 9(9):095206. https://doi.org/10.1063/1.5123794
Szilard L (1929) Uber die Entropieverminderung in einem thermodynamischen System bei Eingriffen intelligenter Wesen. Zeitschrift fur Physik 53(11-12):840-856. https://doi.org/10.1007/BF01341281
Prigogine I (1978) Time, structure, and fluctuations. Science 201(4358):777-785. https://doi.org/10.1126/science.201.4358.777
Hawking SW (1975) Particle creation by black holes. Communications in Mathematical Physics 43(3):199-220. https://doi.org/10.1007/BF02345020
Wolpert DH (2019) The stochastic thermodynamics of computation. Journal of Physics A: Mathematical and Theoretical 52(19):193001. https://doi.org/10.1088/1751-8121/ab0850
