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Journal articles on the topic 'Nonequilibrium statistical mechanics'

To see the other types of publications on this topic, follow the link: Nonequilibrium statistical mechanics.

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Nicolas, J. "Nonequilibrium Statistical Mechanics." Few-Body Systems 31, no. 2-4 (May 1, 2002): 205–10. http://dx.doi.org/10.1007/s006010200022.

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2

Mabillard, Joël, and Pierre Gaspard. "Nonequilibrium statistical mechanics of crystals." Journal of Statistical Mechanics: Theory and Experiment 2021, no. 6 (June 1, 2021): 063207. http://dx.doi.org/10.1088/1742-5468/ac02c9.

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3

Kita, Takafumi. "Entropy in Nonequilibrium Statistical Mechanics." Journal of the Physical Society of Japan 75, no. 11 (November 15, 2006): 114005. http://dx.doi.org/10.1143/jpsj.75.114005.

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4

Oppenheim, Irwin. "Book Review: Nonequilibrium Statistical Mechanics." Journal of Statistical Physics 127, no. 4 (March 23, 2007): 851–52. http://dx.doi.org/10.1007/s10955-007-9314-0.

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5

Vojta, G. "Statistical Mechanics of Nonequilibrium Processes." Zeitschrift für Physikalische Chemie 206, Part_1_2 (January 1998): 273–74. http://dx.doi.org/10.1524/zpch.1998.206.part_1_2.273.

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6

GASPARD, PIERRE. "DYNAMICAL CHAOS AND NONEQUILIBRIUM STATISTICAL MECHANICS." International Journal of Modern Physics B 15, no. 03 (January 30, 2001): 209–35. http://dx.doi.org/10.1142/s021797920100437x.

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Chaos in the motion of atoms and molecules composing fluids is a new topic in nonequilibrium physics. Relationships have been established between the characteristic quantities of chaos and the transport coefficients thanks to the concept of fractal repeller and the escape-rate formalism. Moreover, the hydrodynamic modes of relaxation to the thermodynamic equilibrium as well as the nonequilibrium stationary states have turned out to be described by fractal-like singular distributions. This singular character explains the second law of thermodynamics as an emergent property of large chaotic systems. These and other results show the growing importance of ephemeral phenomena in modern physics.

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7

Bringuier, Eric. "Nonequilibrium statistical mechanics of drifting particles." Physical Review E 61, no. 6 (June 1, 2000): 6351–58. http://dx.doi.org/10.1103/physreve.61.6351.

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8

Rogers, David M. "Unifying theories for nonequilibrium statistical mechanics." Journal of Statistical Mechanics: Theory and Experiment 2019, no. 8 (August 19, 2019): 084010. http://dx.doi.org/10.1088/1742-5468/ab3193.

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9

Taniguchi, Tooru. "Thermodynamical properties in nonequilibrium statistical mechanics." Physica A: Statistical Mechanics and its Applications 236, no. 3-4 (March 1997): 448–84. http://dx.doi.org/10.1016/s0378-4371(96)00361-5.

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10

Bishop, Robert C. "Nonequilibrium statistical mechanics Brussels–Austin style." Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 35, no. 1 (March 2004): 1–30. http://dx.doi.org/10.1016/j.shpsb.2001.11.001.

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11

Ruelle, David. "Entropy Production in Nonequilibrium Statistical Mechanics." Communications in Mathematical Physics 189, no. 2 (November 1, 1997): 365–71. http://dx.doi.org/10.1007/s002200050207.

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12

Cushman, John H., Xiaolong Hu, and Timothy R. Ginn. "Nonequilibrium statistical mechanics of preasymptotic dispersion." Journal of Statistical Physics 75, no. 5-6 (June 1994): 859–78. http://dx.doi.org/10.1007/bf02186747.

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13

Mazilu, I., and H. T. Williams. "Nonequilibrium statistical mechanics: A solvable model." American Journal of Physics 77, no. 5 (May 2009): 458–67. http://dx.doi.org/10.1119/1.3081423.

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14

KUBO, R. "Brownian Motion and Nonequilibrium Statistical Mechanics." Science 233, no. 4761 (July 18, 1986): 330–34. http://dx.doi.org/10.1126/science.233.4761.330.

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15

Gallavotti, G., and E. G. D. Cohen. "Dynamical Ensembles in Nonequilibrium Statistical Mechanics." Physical Review Letters 74, no. 14 (April 3, 1995): 2694–97. http://dx.doi.org/10.1103/physrevlett.74.2694.

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16

Zhong, Weishun, Zhiyue Lu, David J. Schwab, and Arvind Murugan. "Nonequilibrium Statistical Mechanics of Continuous Attractors." Neural Computation 32, no. 6 (June 2020): 1033–68. http://dx.doi.org/10.1162/neco_a_01280.

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Continuous attractors have been used to understand recent neuroscience experiments where persistent activity patterns encode internal representations of external attributes like head direction or spatial location. However, the conditions under which the emergent bump of neural activity in such networks can be manipulated by space and time-dependent external sensory or motor signals are not understood. Here, we find fundamental limits on how rapidly internal representations encoded along continuous attractors can be updated by an external signal. We apply these results to place cell networks to derive a velocity-dependent nonequilibrium memory capacity in neural networks.

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17

Colangeli, Matteo, and Valerio Lucarini. "Nonequilibrium Statistical Mechanics: Fluctuations and Response." Chaos, Solitons & Fractals 64 (July 2014): 1. http://dx.doi.org/10.1016/j.chaos.2014.04.004.

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18

Kozlov, Valery V. "Nonequilibrium Statistical Mechanics of Weakly Ergodic Systems." Regular and Chaotic Dynamics 25, no. 6 (November 2020): 674–88. http://dx.doi.org/10.1134/s1560354720060118.

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19

Falasco, G., F. Baldovin, K. Kroy, and M. Baiesi. "Mesoscopic virial equation for nonequilibrium statistical mechanics." New Journal of Physics 18, no. 9 (September 22, 2016): 093043. http://dx.doi.org/10.1088/1367-2630/18/9/093043.

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20

Kita, Takafumi. "Addendum to “Entropy in Nonequilibrium Statistical Mechanics”." Journal of the Physical Society of Japan 76, no. 6 (June 15, 2007): 067001. http://dx.doi.org/10.1143/jpsj.76.067001.

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21

Wallace, Duane C. "Nonequilibrium statistical mechanics of a dense fluid." Physical Review A 35, no. 10 (May 1, 1987): 4334–48. http://dx.doi.org/10.1103/physreva.35.4334.

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22

Andersen, H. C., and D. Chandler. "Robert W. Zwanzig: Formulated nonequilibrium statistical mechanics." Proceedings of the National Academy of Sciences 111, no. 32 (July 30, 2014): 11572–73. http://dx.doi.org/10.1073/pnas.1412827111.

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23

Gaspard, Pierre. "Hamiltonian dynamics, nanosystems, and nonequilibrium statistical mechanics." Physica A: Statistical Mechanics and its Applications 369, no. 1 (September 2006): 201–46. http://dx.doi.org/10.1016/j.physa.2006.04.010.

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24

Itami, Masato, and Shin-ichi Sasa. "Nonequilibrium Statistical Mechanics for Adiabatic Piston Problem." Journal of Statistical Physics 158, no. 1 (September 17, 2014): 37–56. http://dx.doi.org/10.1007/s10955-014-1115-7.

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25

Dahler, John S., and Lihong Qin. "Nonequilibrium statistical mechanics of chemically reactive fluids." Journal of Chemical Physics 118, no. 18 (May 8, 2003): 8396–404. http://dx.doi.org/10.1063/1.1565331.

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26

Hoover, Wm G. "Nosé–Hoover nonequilibrium dynamics and statistical mechanics." Molecular Simulation 33, no. 1-2 (January 2007): 13–19. http://dx.doi.org/10.1080/08927020601059869.

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27

Lebowitz, Joel L. "Book review:Statistical physics II: Nonequilibrium statistical mechanics." Journal of Statistical Physics 44, no. 3-4 (August 1986): 697–99. http://dx.doi.org/10.1007/bf01011313.

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28

Xiusan, Xing. "Nonequilibrium statistical foundation of fatigue fracture." Acta Mechanica Sinica 6, no. 1 (February 1990): 35–44. http://dx.doi.org/10.1007/bf02488456.

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29

HAYASHI, KUMIKO, and RYUNOSUKE HAYASHI. "PROTEIN MOTOR F1 AS A MODEL SYSTEM FOR FLUCTUATION THEORIES OF NON-EQUILIBRIUM STATISTICAL MECHANICS." Fluctuation and Noise Letters 11, no. 03 (September 2012): 1241001. http://dx.doi.org/10.1142/s0219477512410015.

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F1-ATPase (F1) is a rotary motor protein in which the rotor γ subunit rotates in the α3β3 ring hydrolyzing adenosine-5′-triphosphate (ATP). Several fluctuation theories of nonequilibrium statistical mechanics have been applied recently to the single-molecule experiments on F1. For example, the fluctuation theorem, a recent achievement in the field of nonequilibrium statistical mechanics, has been suggested to be useful for measuring the rotary torque of F1. In this paper, we introduce F1 as a good biological model for experimentally testing the theories of nonequilibrium statistical mechanics.

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30

P Morriss, Gary, and Lamberto Rondoni. "Chaos and Its Impact on the Foundations of Statistical Mechanics." Australian Journal of Physics 49, no. 1 (1996): 51. http://dx.doi.org/10.1071/ph960051.

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In this work we present a brief derivation of the periodic orbit expansion for simple dynamical systems, and then we apply it to the study of a classical statistical mechanical model, the Lorentz gas, both at equilibrium and in a nonequilibrium steady state. The results are compared with those obtained through standard molecular dynamics simulations, and they are found to be in good agreement. The form of the average using the periodic orbit expansion suggests the definition of a new dynamical partition function, which we test numerically. An analytic formula is obtained for the Lyapunov numbers of periodic orbits for the nonequilibrium Lorentz gas. Using this formula and other numerical techniques we study the nonequilibrium Lorentz gas as a dynamical system and obtain an estimate of the upper bound on the external field for which the system remains ergodic.

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31

Becattini, Francesco, Matteo Buzzegoli, and Eduardo Grossi. "Reworking Zubarev’s Approach to Nonequilibrium Quantum Statistical Mechanics." Particles 2, no. 2 (April 8, 2019): 197–207. http://dx.doi.org/10.3390/particles2020014.

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In this work, the nonequilibrium density operator approach introduced by Zubarev more than 50 years ago to describe quantum systems at a local thermodynamic equilibrium is revisited. This method, which was used to obtain the first “Kubo” formula of shear viscosity, is especially suitable to describe quantum effects in fluids. This feature makes it a viable tool to describe the physics of Quark–Gluon Plasma in relativistic nuclear collisions.

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32

Uchiyama, Chikako, and Fumiaki Shibata. "Unified projection operator formalism in nonequilibrium statistical mechanics." Physical Review E 60, no. 3 (September 1, 1999): 2636–50. http://dx.doi.org/10.1103/physreve.60.2636.

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33

Baskaran, Aparna, and M. Cristina Marchetti. "Nonequilibrium statistical mechanics of self-propelled hard rods." Journal of Statistical Mechanics: Theory and Experiment 2010, no. 04 (April 21, 2010): P04019. http://dx.doi.org/10.1088/1742-5468/2010/04/p04019.

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34

Baldovin, F., A. Cappellaro, E. Orlandini, and L. Salasnich. "Nonequilibrium statistical mechanics in one-dimensional bose gases." Journal of Statistical Mechanics: Theory and Experiment 2016, no. 6 (June 13, 2016): 063303. http://dx.doi.org/10.1088/1742-5468/2016/06/063303.

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35

Hershfield, Selman. "Reformulation of steady state nonequilibrium quantum statistical mechanics." Physical Review Letters 70, no. 14 (April 5, 1993): 2134–37. http://dx.doi.org/10.1103/physrevlett.70.2134.

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36

Williams, Stephen R., and Denis J. Evans. "Statistical mechanics of time independent nondissipative nonequilibrium states." Journal of Chemical Physics 127, no. 18 (November 14, 2007): 184101. http://dx.doi.org/10.1063/1.2780161.

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37

Bonilla, Luis L. "Nonequilibrium statistical mechanics model showing self-sustained oscillations." Physical Review Letters 60, no. 14 (April 4, 1988): 1398–401. http://dx.doi.org/10.1103/physrevlett.60.1398.

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38

Ebeling, Werner. "Nonequilibrium statistical mechanics of swarms of driven particles." Physica A: Statistical Mechanics and its Applications 314, no. 1-4 (November 2002): 92–96. http://dx.doi.org/10.1016/s0378-4371(02)01159-7.

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39

Gaveau, Bernard, and L. S. Schulman. "Master equation based formulation of nonequilibrium statistical mechanics." Journal of Mathematical Physics 37, no. 8 (August 1996): 3897–932. http://dx.doi.org/10.1063/1.531608.

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40

Xiu-San, Xing. "On theoretical framework of nonequilibrium statistical fracture mechanics." Engineering Fracture Mechanics 55, no. 5 (November 1996): 699–716. http://dx.doi.org/10.1016/0013-7944(96)00052-5.

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41

Grmela, Miroslav. "Methods of nonequilibrium statistical mechanics in molecular simulations." Mathematical and Computer Modelling 11 (1988): 979–84. http://dx.doi.org/10.1016/0895-7177(88)90639-5.

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42

Dodelson, Scott, and Michael S. Turner. "Nonequilibrium neutrino statistical mechanics in the expanding Universe." Physical Review D 46, no. 8 (October 15, 1992): 3372–87. http://dx.doi.org/10.1103/physrevd.46.3372.

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43

Egolf, D. A. "Equilibrium Regained: From Nonequilibrium Chaos to Statistical Mechanics." Science 287, no. 5450 (January 7, 2000): 101–4. http://dx.doi.org/10.1126/science.287.5450.101.

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44

Seke, J., G. Adam, and O. Hittmair. "Modified Robertson projection technique in nonequilibrium statistical mechanics." Lettere Al Nuovo Cimento Series 2 44, no. 6 (November 1985): 405–9. http://dx.doi.org/10.1007/bf02746705.

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45

Ruelle, David. "Positivity of entropy production in nonequilibrium statistical mechanics." Journal of Statistical Physics 85, no. 1-2 (October 1996): 1–23. http://dx.doi.org/10.1007/bf02175553.

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46

Ebeling, Werner, and Udo Erdmann. "Nonequilibrium statistical mechanics of swarms of driven particles." Complexity 8, no. 4 (March 2003): 23–30. http://dx.doi.org/10.1002/cplx.10090.

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47

Gujrati, Purushottam Das. "Foundations of Nonequilibrium Statistical Mechanics in Extended State Space." Foundations 3, no. 3 (August 23, 2023): 419–548. http://dx.doi.org/10.3390/foundations3030030.

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The review provides a pedagogical but comprehensive introduction to the foundations of a recently proposed statistical mechanics (μNEQT) of a stable nonequilibrium thermodynamic body, which may be either isolated or interacting. It is an extension of the well-established equilibrium statistical mechanics by considering microstates mk in an extended state space in which macrostates (obtained by ensemble averaging A^) are uniquely specified so they share many properties of stable equilibrium macrostates. The extension requires an appropriate extended state space, three distinct infinitessimals dα=(d,de,di) operating on various quantities q during a process, and the concept of reduction. The mechanical process quantities (no stochasticity) like macrowork are given by A^dαq, but the stochastic quantities C^αq like macroheat emerge from the commutator C^α of dα and A^. Under the very common assumptions of quasi-additivity and quasi-independence, exchange microquantities deqk such as exchange microwork and microheat become nonfluctuating over mk as will be explained, a fact that does not seem to have been appreciated so far in diverse branches of modern statistical thermodynamics (fluctuation theorems, quantum thermodynamics, stochastic thermodynamics, etc.) that all use exchange quantities. In contrast, dqk and diqk are always fluctuating. There is no analog of the first law for a microstate as the latter is a purely mechanical construct. The second law emerges as a consequence of the stability of the system, and cannot be violated unless stability is abandoned. There is also an important thermodynamic identity diQ≡diW≥0 with important physical implications as it generalizes the well-known result of Count Rumford and the Gouy-Stodola theorem of classical thermodynamics. The μNEQT has far-reaching consequences with new results, and presents a new understanding of thermodynamics even of an isolated system at the microstate level, which has been an unsolved problem. We end the review by applying it to three different problems of fundamental interest.

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48

Ichiyanagi, Masakazu. "A Contribution to the Theory of Nonequilibrium Statistical Mechanics. II. Nonequilibrium Density Matrix." Journal of the Physical Society of Japan 58, no. 7 (July 15, 1989): 2305–15. http://dx.doi.org/10.1143/jpsj.58.2305.

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49

Xing, Xiu-San. "Nonequilibrium statistical theory of brittle fracture." Engineering Fracture Mechanics 24, no. 1 (January 1986): 45–64. http://dx.doi.org/10.1016/0013-7944(86)90007-x.

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50

Xing, Xiu-San. "Nonequilibrium statistical theory of fatigue fracture." Engineering Fracture Mechanics 26, no. 3 (January 1987): 393–419. http://dx.doi.org/10.1016/0013-7944(87)90021-x.

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