Relevant bibliographies by topics / Far-from-equilibrium dynamics

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Far-from-equilibrium dynamics'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Far-from-equilibrium dynamics"

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Moldovan, Dorel, and Leonardo Golubovic. "Tethered membranes far from equilibrium: Buckling dynamics." Physical Review E 60, no. 4 (October 1, 1999): 4377–84. http://dx.doi.org/10.1103/physreve.60.4377.

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Gasenzer, Thomas, Stefan Keßler, and Jan M. Pawlowski. "Far-from-equilibrium quantum many-body dynamics." European Physical Journal C 70, no. 1-2 (September 16, 2010): 423–43. http://dx.doi.org/10.1140/epjc/s10052-010-1430-3.

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Chvoj, Z. "Dynamics of adparticles far from equilibrium conditions." Surface Science 507-510 (June 2002): 114–18. http://dx.doi.org/10.1016/s0039-6028(02)01185-8.

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Evans, D. J., and W. G. Hoover. "Flows Far From Equilibrium Via Molecular Dynamics." Annual Review of Fluid Mechanics 18, no. 1 (January 1986): 243–64. http://dx.doi.org/10.1146/annurev.fl.18.010186.001331.

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Paulsen, C., M. J. Jackson, E. Lhotel, B. Canals, D. Prabhakaran, K. Matsuhira, S. R. Giblin, and S. T. Bramwell. "Far-from-equilibrium monopole dynamics in spin ice." Nature Physics 10, no. 2 (January 19, 2014): 135–39. http://dx.doi.org/10.1038/nphys2847.

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Denicol, Gabriel S., and Jorge Noronha. "Fluid dynamics far-from-equilibrium: a concrete example." Nuclear Physics A 1005 (January 2021): 121996. http://dx.doi.org/10.1016/j.nuclphysa.2020.121996.

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Leitenstorfer, Alfred, Cornelius Fürst, Alfred Laubereau, Wolfgang Kaiser, Günther Tränkle, and Günter Weimann. "Femtosecond Carrier Dynamics in GaAs Far from Equilibrium." Physical Review Letters 76, no. 9 (February 26, 1996): 1545–48. http://dx.doi.org/10.1103/physrevlett.76.1545.

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Leitenstorfer, Alfred, Cornelius Fürst, Alfred Laubereau, Wolfgang Kaiser, Günther Tränkle, and Günter Weimann. "Femtosecond Carrier Dynamics in GaAs Far from Equilibrium." Physical Review Letters 76, no. 19 (May 6, 1996): 3662. http://dx.doi.org/10.1103/physrevlett.76.3662.2.

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Schmied, Christian-Marcel, Aleksandr N. Mikheev, and Thomas Gasenzer. "Non-thermal fixed points: Universal dynamics far from equilibrium." International Journal of Modern Physics A 34, no. 29 (October 20, 2019): 1941006. http://dx.doi.org/10.1142/s0217751x19410069.

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In this article we give an overview of the concept of universal dynamics near non-thermal fixed points in isolated quantum many-body systems. We outline a non-perturbative kinetic theory derived within a Schwinger–Keldysh closed-time path-integral approach, as well as a low-energy effective field theory which enable us to predict the universal scaling exponents characterizing the time evolution at the fixed point. We discuss the role of wave-turbulent transport in the context of such fixed points and discuss universal scaling evolution of systems bearing ensembles of (quasi) topological defects. This is rounded off by the recently introduced concept of prescaling as a generic feature of the evolution towards a non-thermal fixed point.
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RESNIKOVA, VERA, and ARKADY ROVINSKY. "Nonlinear Dynamics of a Far-from-Equilibrium Chemical System." Annals of the New York Academy of Sciences 661, no. 1 Frontiers of (December 1992): 367. http://dx.doi.org/10.1111/j.1749-6632.1992.tb26064.x.

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Dissertations / Theses on the topic "Far-from-equilibrium dynamics"

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Hoogeveen, Marianne Lotje. "Far from equilibrium : dynamics of entanglement and fluctuations." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/far-from-equilibrium(32143fd4-0913-4398-87b8-b6c1c5b23413).html.

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We consider the state of a one-dimensional critical quantum system after a \thermal cut-and-glue quench", which is a local quench in which two independently thermalized halves are connected to form a homogeneous in nite system and left to evolve unitarily until they reach a non-equilibrium steady state (NESS). This quench was studied in [1], and exact CFT results for the current and its uctuations in the NESS were found. We add to these results by studying the growth of entanglement after the quench. Furthermore, we generalise to the case in which the system is not critical, but described by an integrable relativistic quantum eld theory (IQFT) with diagonal scattering, and nd exact expressions for the energy current and scaled cumulant generating function (CGF) in the NESS. Another generalisation we consider is the thermal cut-and-glue quench for N independently thermalised critical one-dimensional systems. These are made to form a quantum junction consisting of N one-dimensional critical systems that are connected at one point in a star graph con guration, with a particular, simple connection condition at the vertex. We nd in this situation the exact energy current and scaled CGF in the NESS. This thesis is based on the publications [2{4], which are incorporated in their published form in Chapters 3 and 4.
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Blunt, Matthew Oliver. "Far-from-equilibrium nanoparticle assemblies : patterns, transport and dynamics." Thesis, University of Nottingham, 2007. http://eprints.nottingham.ac.uk/13112/.

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This work is centered on the study of self-organisation and pattern formation in a prototypical nanostructured system, namely colloidal nanoparticle assemblies. The particular system chosen for investigation, Au nanocrystals spin cast onto silicon substrates from a solvent, despite being chemically rather simple exhibits a rich variety of complex patterns. In the majority of experiments discussed in this thesis, far-from-equilibrium conditions are attained by a spin-casting process which drives rapid solvent evaporation. A systematic study was carried out to determine the various factors affecting the morphology of nanoparticle assemblies produced in this manner. These factors include the concentration of the nanoparticle solution, the particular solvent used, and the chemical/ physical nature of the substrate. Changing these variables can affect both the strength of interactions between individual nanoparticles and between nanoparticles and the substrate. The various morphologies of the nanoparticle structures produced were studied using atomic force microscopy (AFM). Particular attention is paid to the role of the substrate's surface chemistry in pattern selection. A range of different substrates are used to gauge the influence of differing surface chemistries. In addition, scanning probe lithography was employed to microscopically pattern surfaces. This facilitated the observation of effects caused by the presence of two radically different surface chemistries in the micron size range. This patterning process provides the experimenter some measure of control over the morphology of the nanoparticle assembly, allowing the enforcement of predefined length scales onto the network. Simulations of drying nanocrystal films produced using code written by Martin et al [1] have been shown to accurately reproduce the experimental results. These simulations are used to develop theoretical explanations of the experimental data in terms of the varying solvent evaporation rate on the substrate and the manner by which the solvent dewets on chemically and topologically differing areas of a surface. A remarkable probe-induced coarsening of nanoparticle assemblies by repetitive scanning with an AFM probe has been studied. Repeated scanning of colloidal nanoparticle systems causes the irreversible growth of nanoparticle assemblies. The size distribution of structures produced by this growth is shown to be self-similar. With the size of the domains growing with a power law dependence on scan time. From a combination of these results the growth of structures is explained using a model of coarsening based on cluster diffusion and coalescence. This model is subtly different from coalescence in a thermally driven system due to the novel nature of the mechanical coarsening process. Electrical transport through different array morphologies produced via the spin-coating process was studied using D. C. electrical measurements and electrostatic force microscopy (EFM). Measurements over temperatures ranging from 4.5K to room temperature were made. Variations in the manner that power law scaling of the conduction behaviour alters for different arrays is linked to the topological characteristics of the arrays.
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Carroll, Jacob Alexander. "Examining the Dynamics of Biologically Inspired Systems Far From Equilibrium." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/89103.

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Non-equilibrium systems have no set method of analysis, and a wide array of dynamics can be present in such systems. In this work we present three very different non-equilibrium models, inspired by biological systems and phenomena, that we analyze through computational means to showcase both the range of dynamics encompassed by these systems, as well as various techniques used to analyze them. The first system we model is a surface plasmon resonance (SPR) cell, a device used to determine the binding rates between various species of chemicals. We simulate the SPR cell and compare these computational results with a mean-field approximation, and find that such a simplification fails for a wide range of reaction rates that have been observed between different species of chemicals. Specifically, the mean-field approximation places limits on the possible resolution of the measured rates, and such an analysis fails to capture very fast dynamics between chemicals. The second system we analyzed is an avalanching neural network that models cascading neural activity seen in monkeys, rats, and humans. We used a model devised by Lombardi, Herrmann, de Arcangelis et al. to simulate this system and characterized its behavior as the fraction of inhibitory neurons was changed. At low fractions of inhibitory neurons we observed epileptic-like behavior in the system, as well as extended tails in the avalanche strength and duration distributions, which dominate the system in this regime. We also observed how the connectivity of these networks evolved under the effects of different inhibitory fractions, and found the high fractions of inhibitory neurons cause networks to evolve more sparsely, while networks with low fractions maintain their initial connectivity. We demonstrated two strategies to control the extreme avalanches present at low inhibitory fractions through either the random or targeted disabling of neurons. The final system we present is a sparsely encoding convolutional neural network, a computational system inspired by the human visual cortex that has been engineered to reconstruct images inputted into the network using a series of "patterns" learned from previous images as basis elements. The network attempts to do so "sparsely," so that the fewest number of neurons are used. Such systems are often used for denoising tasks, where noisy or fragmented images are reconstructed. We observed a minimum in this denoising error as the fraction of active neurons was varied, and observed the depth and location of this minimum to obey finite-size scaling laws that suggest the system is undergoing a second-order phase transition. We can use these finite-size scaling relations to further optimize this system by tuning it to the critical point for any given system size.
Doctor of Philosophy
Non-equilibrium systems have no set method of analysis, and a wide array of dynamics can be present in such systems. In this work we present three very different non-equilibrium models, inspired by biological systems and phenomena, that we analyze through computational means to showcase both the range of dynamics encompassed by these systems, as well as various techniques used to analyze them. The first system we model is a surface plasmon resonance (SPR) cell, a device used to determine the binding rates between various species of chemicals. We simulate the SPR cell and compare these computational results with a mean-field approximation, and find that such a simplification fails for a wide range of reaction rates that have been observed between different species of chemicals. Specifically, the mean-field approximation places limits on the possible resolution of the measured rates, and such an analysis fails to capture very fast dynamics between chemicals. The second system we analyzed is an avalanching neural network that models cascading neural activity seen in monkeys, rats, and humans. We used a model devised by Lombardi, Herrmann, de Arcangelis et al. to simulate this system and characterized its behavior as the fraction of inhibitory neurons was changed. At low fractions of inhibitory neurons we observed epileptic-like behavior in the system, as well as extended tails in the avalanche strength and duration distributions, which dominate the system in this regime. We also observed how the connectivity of these networks evolved under the effects of different inhibitory fractions, and found the high fractions of inhibitory neurons cause networks to evolve more sparsely, while networks with low fractions maintain their initial connectivity. We demonstrated two strategies to control the extreme avalanches present at low inhibitory fractions through either the random or targeted disabling of neurons. The final system we present is a sparsely encoding convolutional neural network, a computational system inspired by the human visual cortex that has been engineered to reconstruct images inputted into the network using a series of “patterns” learned from previous images as basis elements. The network attempts to do so “sparsely,” so that the fewest number of neurons are used. Such systems are often used for denoising tasks, where noisy or fragmented images are reconstructed. We observed a minimum in this denoising error as the fraction of active neurons was varied, and observed the depth and location of this minimum to obey finite-size scaling laws that suggest the system is undergoing a second-order phase transition. We can use these finite-size scaling relations to further optimize this system by tuning it to the critical point for any given system size.
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Houston, Peter Henry Robert. "On the behaviour of nanoscale fluid samples far from equilibrium." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312120.

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Wolfson, Johanna Wendlandt. "Single-shot spectroscopy of solid-state photoinduced dynamics far from equilibrium." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82327.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemistry, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 245-252).
Ultrafast single-shot spectroscopy was developed and improved as a method to observe photoinduced dynamics far from equilibrium. The method was then employed to illuminate material dynamics in platinum-halide quasi-one-dimensional chain compounds (PtI) and in the semimetal bismuth. Both material systems exhibit strongly coupled energetic modes; as a result, their study under laser pulse excitation offers the opportunity to explore the same processes that underlie their unique properties. Our measurements have pushed the photoinduced study of these materials to new extremes toward a better understanding of material response and control far from equilibrium. In this thesis, the single-shot method is introduced and analyzed, and measurements on PtI and bismuth are presented and discussed. Collectively, the measurements offer a view into how materials with strong electron-phonon coupling respond to photoexcitation across dimension, timescale, and excitation density. Dimensionality is explored qualitatively between the PtI chain sample and bismuth samples of varying thickness. The time evolution upon laser excitation is monitored from the instantaneous response out to several hundred picoseconds. The photoexcitation itself is varied from weak (corresponding to most published literature on both materials) to very strong (exceeding the thresholds for visualizing dynamics with conventional methods). We describe our results in the context of material dynamics on the microscale and propose future directions. New dynamics were observed in PtI chains that suggest long-lived structural and electronic states under high irradiation. The possibility of collective structural rearrangement with a long lifetime is proposed. In bismuth, high photoexcitation measurements traversed the material's potential energy surface along the coordinate of structural distortion. We report control of the excitation-dependent photoinduced phase by dimensional constraint, as well as ballistic transport effects that govern this interplay. This research enables future advancements on two fronts. The instrumental developments enable visualization of irreversible events for a wider range of materials. The physical insights gained for the materials studied here characterize key processes pertinent to technological applications and off insights that may govern behavior far from equilibrium for broader classes of materials.
by Johanna Wendlandt Wolfson.
Ph.D.
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Dziekan, Piotr. "Dynamics of far-from-equilibrium chemical systems : microscopic and mesoscopic approaches." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066402/document.

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La plupart des systèmes non linéaires loin de l'équilibre sont sensibles aux fluctuations internes. Dans ce travail, les effets stochastiques dans des modèles génériques de réaction-diffusion sont étudiés à deux échelles différentes. Dans l'approche mésoscopique, l'évolution du système est gouvernée par une équation maîtresse résolue par des simulations de Monte Carlo cinétique. A l'échelle microscopique, des simulations de dynamique des particules sont réalisées. Ces approches stochastiques sont comparées à des équations macroscopiques, déterministes de réaction-diffusion. Dans l'introduction, les différentes échelles, les concepts concernant les systèmes non linéaires et les méthodes numériques utilisées sont présentés. La première partie du chapitre consacré aux résultats est dédiée à l'étude de la perturbation de la distribution des vitesses des particules induite par la réaction pour un système bistable et la propagation d'un front d'onde. Une équation maîtresse incluant cette perturbation est écrite et comparée à des simulations de la dynamique microscopique. La seconde partie concerne la formation de structures dans les systèmes réaction-diffusion dans le contexte de la biologie du développement. Une méthode pour simuler des structures de Turing à l'échelle microscopique est développée à partir de l'algorithme DSMC (direct simulation Monte Carlo). Ensuite, des expériences consistant à perturber la formation de la colonne vertébrale sont expliquées dans le cadre du mécanisme de Turing. Enfin, un modèle de réaction-diffusion associé à un mécanisme différent, connu sous le nom de "Clock and wavefront", est proposé pour rendre compte de la segmentation
Many nonlinear systems under non-equilibrium conditions are highly sensitive to internal fluctuations. In this dissertation, stochastic effects in some generic reaction-diffusion models are studied using two approaches of different precision. In the mesoscopic approach, evolution of the system is governed by the master equation, which can be solved numerically or used to set up kinetic Monte Carlo simulations. On the microscopic level, particle computer simulations are used. These two stochastic approaches are compared with deterministic, macroscopic reaction-diffusion equations.In the Introduction, key information about the different approaches is presented, together with basics of nonlinear systems and a presentation of numerical algorithms used.The first part of the Results chapter is devoted to studies on reaction-induced perturbation of particle velocity distributions in models of bistability and wave front propagation. A master equation including this perturbation is presented and compared with microscopic simulations.The second part of the Results deals with pattern formation in reaction-diffusion systems in the context of developmental biology. A method for simulating Turing patternsat the microscopic level using the direct simulation Monte Carlo algorithm is developed. Then, experiments consisting of perturbing segmentation of vertebrate embryo’s bodyaxis are explained using the Turing mechanism. Finally, a different possible mechanism of body axis segmentation, the “clock and wavefront” model, is formulated as a reaction-diffusion model
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Piñeiro, Orioli Asier [Verfasser], and Jürgen [Akademischer Betreuer] Berges. "Quantum dynamics and universality far from equilibrium / Asier Piñeiro Orioli ; Betreuer: Jürgen Berges." Heidelberg : Universitätsbibliothek Heidelberg, 2018. http://d-nb.info/117738406X/34.

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Fritschi, Sebastian [Verfasser]. "Event-driven Brownian dynamics simulations of two-dimensional fluids far from equilibrium / Sebastian Fritschi." Konstanz : Bibliothek der Universität Konstanz, 2018. http://d-nb.info/1159880484/34.

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Tsutsui, Shoichiro. "Parametric instabilities of the Yang-Mills field and far-from-equilibrium dynamics of overpopulated bosons." 京都大学 (Kyoto University), 2017. http://hdl.handle.net/2433/225398.

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Erne, Sebastian Anton [Verfasser], and Thomas [Akademischer Betreuer] Gasenzer. "Far-From-Equilibrium Quantum Many-Body Systems: From Universal Dynamics to Statistical Mechanics / Sebastian Anton Erne ; Betreuer: Thomas Gasenzer." Heidelberg : Universitätsbibliothek Heidelberg, 2018. http://d-nb.info/1177252805/34.

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Books on the topic "Far-from-equilibrium dynamics"

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Japan) RIMS Conference "Far-From-Equilibrium Dynamics" (2011 Kyoto. Far-from-equilibrium dynamics: January 4-8, 2011. Kyoto, Japan: Research Institute for Mathematical Sciences, Kyoto University, 2012.

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J, Gorecki, ed. Far-from-equilibrium dynamics of chemical systems: Proceedings of the third international symposium. Singapore: World Scientific, 1994.

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J, Gorecki, and Popielawski J, eds. Far-from-equilibrium dynamics of chemical systems: Proceedings of the second international symposium : Swidno, Poland, September 3-7, 1990. Singapore: World Scientific, 1991.

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Michel, Pleimling, and SpringerLink (Online service), eds. Non-Equilibrium Phase Transitions: Volume 2: Ageing and Dynamical Scaling Far from Equilibrium. Dordrecht: Springer Science+Business Media B.V., 2010.

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(Translator), Kunimochi Sakamoto, ed. Far-from-Equilibrium Dynamics. American Mathematical Society, 2002.

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Non-Linear Dynamics Near and Far from Equilibrium. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5388-7.

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Bhattacharjee, J. K., and S. Bhattacharyya. Non-Linear Dynamics near and Far from Equilibrium. Springer London, Limited, 2007.

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Non-Linear Dynamics Near and Far from Equilibrium. Springer, 2007.

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Morawetz, Klaus. Interacting Systems far from Equilibrium. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797241.001.0001.

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In quantum statistics based on many-body Green’s functions, the effective medium is represented by the selfenergy. This book aims to discuss the selfenergy from this point of view. The knowledge of the exact selfenergy is equivalent to the knowledge of the exact correlation function from which one can evaluate any single-particle observable. Complete interpretations of the selfenergy are as rich as the properties of the many-body systems. It will be shown that classical features are helpful to understand the selfenergy, but in many cases we have to include additional aspects describing the internal dynamics of the interaction. The inductive presentation introduces the concept of Ludwig Boltzmann to describe correlations by the scattering of many particles from elementary principles up to refined approximations of many-body quantum systems. The ultimate goal is to contribute to the understanding of the time-dependent formation of correlations. Within this book an up-to-date most simple formalism of nonequilibrium Green’s functions is presented to cover different applications ranging from solid state physics (impurity scattering, semiconductor, superconductivity, Bose–Einstein condensation, spin-orbit coupled systems), plasma physics (screening, transport in magnetic fields), cold atoms in optical lattices up to nuclear reactions (heavy-ion collisions). Both possibilities are provided, to learn the quantum kinetic theory in terms of Green’s functions from the basics using experiences with phenomena, and experienced researchers can find a framework to develop and to apply the quantum many-body theory straight to versatile phenomena.
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Sokolov, Igor M., and Werner Ebeling. Statistical Thermodynamics and Stochastic Theory of Nonlinear Systems Far from Equilibrium (Advanced Series in Statistical Mechanics). World Scientific Publishing Company, 2005.

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Book chapters on the topic "Far-from-equilibrium dynamics"

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Suzuki, Masuo. "Scaling and CAM Theory in Far-From-Equilibrium Systems." In Dynamics of Ordering Processes in Condensed Matter, 23–28. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1019-8_5.

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Jarzynski, C. "What Is the Microscopic Response of a System Driven Far From Equilibrium?" In Dynamics of Dissipation, 63–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46122-1_4.

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Schütz, Gunter M. "How Stochastic Dynamics Far from Equilibrium Can Create Nonrandom Patterns." In The Frontiers Collection, 175–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18137-5_6.

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Henkel, Malte. "Quantum Dynamics Far from Equilibrium: A Case Study in the Spherical Model." In Springer Proceedings in Mathematics & Statistics, 111–28. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4751-3_8.

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Nicolis, G. "Bifurcations and Symmetry Breaking in Far-From-Equilibrium Systems: Toward a Dynamics of Complexity." In Advances in Chemical Physics, 177–99. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470142790.ch16.

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Ippoliti, Emiliano. "Dynamic Generation of Hypotheses: Mandelbrot, Soros and Far-from-Equilibrium." In Studies in Applied Philosophy, Epistemology and Rational Ethics, 163–91. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09159-4_8.

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"Economics Far from Equilibrium." In The Divergent Dynamics of Economic Growth, 203–20. Cambridge University Press, 2003. http://dx.doi.org/10.1017/cbo9780511510700.012.

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"Method of Characteristics Description of Brownian Motion Far from Equilibrium." In Rarefied Gas Dynamics: Physical Phenomena, 311–25. Washington DC: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/5.9781600865916.0311.0325.

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Shalley, Christina, Michael A. Hitt, Jing Zhou, and Robert Burgelman. "Prigogine’s Theory of the Dynamics of Far-From-Equilibrium Systems." In The Oxford Handbook of Creativity, Innovation, and Entrepreneurship. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199927678.013.0029.

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"Reflections on Soros: Mach, Quine, Arthur and far-from-equilibrium dynamics." In Reflexivity and Economics, 65–75. Routledge, 2018. http://dx.doi.org/10.4324/9781315471617-25.

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Conference papers on the topic "Far-from-equilibrium dynamics"

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Gorecki, J., A. S. Cukrowski, A. L. Kawczyński, and B. Nowakowski. "Far-From-Equilibrium Dynamics of Chemical Systems." In Third International Symposium. WORLD SCIENTIFIC, 1994. http://dx.doi.org/10.1142/9789814534178.

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Popielawski, J., and J. Gorecki. "Far-From-Equilibrium Dynamics of Chemical Systems." In Proceedings of the Second International Symposium. WORLD SCIENTIFIC, 1991. http://dx.doi.org/10.1142/9789814539371.

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Schmied, Christian-Marcel, Aleksandr N. Mikheev, and Thomas Gasenzer. "Non-thermal fixed points: Universal dynamics far from equilibrium." In Julian Schwinger Centennial Conference. WORLD SCIENTIFIC, 2019. http://dx.doi.org/10.1142/9789811213144_0006.

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Boguslavski, Kirill. "Understanding the dynamics of field theories far from equilibrium." In XIII Quark Confinement and the Hadron Spectrum. Trieste, Italy: Sissa Medialab, 2019. http://dx.doi.org/10.22323/1.336.0136.

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Raschke, Markus B. "Ultrafast nano-imaging of far-from-equilibrium carrier and vibrational dynamics (Conference Presentation)." In Enhanced Spectroscopies and Nanoimaging 2022, edited by Prabhat Verma and Yung Doug Suh. SPIE, 2022. http://dx.doi.org/10.1117/12.2635947.

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Otsuka, Kenju. "Self-Induced Phase Turbulence, Spot Dancing, and Chaotic Itinerancy in Evanescent-Field Coupled Waveguide Lasers." In Nonlinear Dynamics in Optical Systems. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/nldos.1990.sdslad101.

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Spatiotemporal dynamics of coupled nonlinear systems far from thermal equilibrium is an attractive current issue in physics, engineering, chemistry, biology and other fields.1,2 One of the simplest examples is the phase locking probem in two coupled nonlinear oscillators.
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Li, Guanchen, and Michael R. von Spakovsky. "Application of Steepest-Entropy-Ascent Quantum Thermodynamics to Predicting Heat and Mass Diffusion From the Atomistic Up to the Macroscopic Level." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-53581.

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Conventional first principle approaches for studying non-equilibrium or far-from-equilibrium processes all depend on the mechanics of individual particles or quantum states and as a result, require too many details of the mechanical features of the system to easily or even practically arrive at the value of a macroscopic property. In contrast, thermodynamics, which has been extremely successful in the stable equilibrium realm, provides an approach for determining a macroscopic property without going into the mechanical details. Nonetheless, such a phenomenological approach is not generally applicable to a non-equilibrium process except in the near-equilibrium realm and under the limiting local equilibrium and continuum assumptions, both of which prevent its application across all scales. To address these drawbacks, steepest-entropy-ascent quantum thermodynamics (SEAQT) can be used. It provides an ensemble-based, thermodynamics, first principles approach applicable to the entire non-equilibrium realm even that far-from-equilibrium and does so with a single kinematics and dynamics able to cross all temporal and spatial scales. Based on prior developments by the authors, this paper applies SEAQT to the study of mass and heat diffusion. Specifically, the study focuses on the thermodynamic features of far-from-equilibrium state evolution. Two kinds of size effects on the evolution trajectory, i.e., concentration and volume effects, are discussed.
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Beretta, Gian Paolo, and Nicolas G. Hadjiconstantinou. "Steepest Entropy Ascent Models of the Boltzmann Equation: Comparisons With Hard-Sphere Dynamics and Relaxation-Time Models for Homogeneous Relaxation From Highly Non-Equilibrium States." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64905.

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We present a family of steepest entropy ascent (SEA) models of the Boltzmann equation. The models preserve the usual collision invariants (mass, momentum, energy), as well as the non-negativity of the phase-space distribution, and have a strong built-in thermodynamic consistency, i.e., they entail a general H-theorem valid even very far from equilibrium. This family of models features a molecular-speed-dependent collision frequency; each variant can be shown to approach a corresponding BGK model with the same variable collision frequency in the limit of small deviation from equilibrium. This includes power-law dependence on the molecular speed for which the BGK model is known to have a Prandtl number that can be adjusted via the power-law exponent. We compare numerical solutions of the constant and velocity-dependent collision frequency variants of the SEA model with the standard relaxation-time model and a Monte Carlo simulation of the original Boltzmann collision operator for hard spheres for homogeneous relaxation from near-equilibrium and highly non-equilibrium states. Good agreement is found between all models in the near-equilibrium regime. However, for initial states that are far from equilibrium, large differences are found; this suggests that the maximum entropy production statistical ansatz is not equivalent to Boltzmann collisional dynamics and needs to be modified or augmented via additional constraints or structure.
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Wemhoff, Aaron P., and Van P. Carey. "Exploration of Nanoscale Features of Thin Liquid Films on Solid Surfaces Using Molecular Dynamics Simulations." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59429.

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Thin liquid films on solid surfaces are seen in a variety of systems including bubble growth during nucleate boiling and microgroove heat pipe evaporators and condensers. The small thickness of such films leads to difficult experimental observation of phenomena within various regions of the film: the wall-affected region, the bulk liquid, and the liquid-vapor interfacial region. A novel hybrid simulation methodology is used that combines a deterministic molecular dynamics simulation of the liquid regions with a stochastic treatment of the far-field vapor region boundary. In this simulation scheme, the imposed far-field pressure is iterated as the simulation is advanced in time until the mass in the system stabilizes at the specified temperature. This establishes the equilibrium saturation vapor pressure for the specified temperature as dictated by the intermolecular force interaction models for the fluid and molecules near the solid surface. Simulation results are presented for an argon liquid film on a metallic surface. The simulated surface tension values compare favorably with those from ASHRAE tables, although the simulated saturation density and pressure values behave as though the system is at a slightly higher temperature. The method presented here is a viable tool for simulating thin films on solid surfaces for systems operating far from the critical point.
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von Spakovsky, Michael R., Charles E. Smith, and Vittorio Verda. "Quantum Thermodynamics for the Modeling of Hydrogen Storage on a Carbon Nanotube." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67424.

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A typical approach for modeling systems at a nanoscale in states of non-equilibrium undergoing an irreversible process is to use an ad hoc mixture of molecular dynamics (linear and nonlinear), i.e. classical mechanics, coupled to assumptions of stable equilibrium which allow one via analogy to incorporate equilibrium thermodynamic state information such as temperature and pressure into the modeling process. However, such an approach cannot describe the actual thermodynamic evolution in state which occurs in these systems since the equation of motion used (Newton’s second law) can only describe the evolution in state from one mechanical state to another. To capture the actual thermodynamic evolution, a more general equation of motion is needed. Such an equation has been proposed, i.e. the Beretta equation of motion, as part of a general theory, which unifies (not simply bridges as is the case in statistical thermodynamics) quantum mechanics and thermodynamics. It is called the unified quantum theory of mechanics and thermodynamics or quantum thermodynamics. This equation, which strictly satisfies all of the implications of the laws of thermodynamics, including the second law, as well as of quantum mechanics, describes the thermodynamic evolution in state of a system in non-equilibrium regardless of whether or not the system is in a state far from or close to stable equilibrium. This theory and its dynamical postulate are used here to model the storage of hydrogen in an isolated box modeled in 1D and 2D with a carbon atom at one end of the box in 1D and a carbon nanotube in the middle of the box in 2D. The system is prepared in a state with the hydrogen molecules initially far from stable equilibrium, after which the system is allowed to relax (evolve) to a state of stable equilibrium. The so-called energy eigenvalue problem is used to determine the energy eigenlevels and eigenstates of the system, while the nonlinear Beretta equation of motion is used to determine the evolution of the thermodynamic state of the system as well as the spatial distributions of the hydrogen molecules in time. The results of our initial simulations show in detail the trajectory of the state of the system as the hydrogen molecules, which are initially arranged to be far from the carbon atom or the carbon nanotube, are seen to spread out in the container and eventually become more concentrated near the carbon atom or atoms.
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Reports on the topic "Far-from-equilibrium dynamics"

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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, November 2020. http://dx.doi.org/10.46337/201111.

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Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the non-recurrent emergence of fundamental new properties absent from the a priori kinematic geometric and statistical features. Unveiling causal mechanisms and eliciting system dynamic predictability under such challenging conditions is not only a fundamental problem in mathematical and statistical physics, but also one of critical importance to dynamic modelling, risk assessment and decision support e.g. regarding non-recurrent critical transitions and extreme events. In order to address these challenges, generalized metrics in non-ergodic information physics are hereby introduced for unveiling elusive dynamics, causality and predictability of complex dynamical systems undergoing far-from-equilibrium structural-functional coevolution. With these methodological developments at hand, hidden dynamic information is hereby brought out and explicitly quantified even beyond post-critical regime collapse, long after statistical information is lost. The added causal insights and operational predictive value are further highlighted by evaluating the new information metrics among statistically independent variables, where traditional techniques therefore find no information links. Notwithstanding the factorability of the distributions associated to the aforementioned independent variables, synergistic and redundant information are found to emerge from microphysical, event-scale codependencies in far-from-equilibrium nonlinear statistical mechanics. The findings are illustrated to shed light onto fundamental causal mechanisms and unveil elusive dynamic predictability of non-recurrent critical transitions and extreme events across multiscale hydro-climatic problems.
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