Statistical Mechanics of Nonequilibrium Liquids
By D. Evans, G. Morriss. 2008
1,301 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Materials Chemistry, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/ddfb6a3edbe73b977cd18b2a380678e3d67d41df
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In Biomedical Engineering
- U. Seifert
- Signe Kjelstrup
- Massimiliano Esposito
- Randall Q. Snurr
- D. Ellis
- Andrea Puglisi
- Angelo Vulpiani
- A. McGaughey
In Materials Chemistry
In Statistical and Nonlinear Physics
- U. Seifert
- Massimiliano Esposito
- Andrew J. Majda
- Valerio Lucarini
- Christopher Jarzynski
- C. Broeck
- Andrea Puglisi
- Angelo Vulpiani
Citations in the corpus
- The computation of averages from equilibrium and nonequilibrium Langevin molecular dynamics (2013, background): “uilibrium systems and the computation of transport coefficients We discuss in this section the numerical estimation of transport properties such as the thermal conductivity, the shear stress, etc. (see [8, 35] for general physical presentations of the computation of transport coefficients, and [31, Sect”
- Ensemble and trajectory thermodynamics: A brief introduction (2014, methodology): “We refer to the literature for more advanced reviews [5–13].”
- A new perspective on the order-n algorithm for computing correlation functions (2009, background): “Both formulations are frequently used in molecular dynamics computer simulations to compute self- and transport coefficients [8,9].”
- Homogeneous non-equilibrium molecular dynamics simulations of viscous flow: techniques and applications (2007, methodology): “with Newton’s equations of motion [6,20,21].”
- A review of linear response theory for general differentiable dynamical systems (2009, background): “If the physical system in which we are interested is described by classical mechanics (with external forces, and a deterministic thermostat [17], [20]), its (microscopic) time evolution is given by an equation dx dt = X (x) (0.”
- Stochastic thermodynamics, fluctuation theorems and molecular machines (2012, background): “Here, one keeps deterministic equations of motion and introduces a friction term making sure that on average the relevant energy (kinetic or total, depending on the scheme) does not change [24].”
- Fluctuation-dissipation: Response theory in statistical physics (2008, methodology): “The models developed in nonequilibrium molecular dynamics (NEMD) have been adopted, in the development of microscopic theories of irreversible thermodynamics, because they are sufficiently simple to be analyzed in detail, and because of their success in describing various properties of nonequilibriu”
- Theories and simulations of polymer-based nanocomposites: From chain statistics to reinforcement (2008, background): “The other approach, usually called non-equilibrium molecular dynamics (NEMD) [166], requires the explicit application of a shear velocity profile through the so-called Lees–Edwards or ‘‘sliding bricks’’ boundary conditions:”
- A Unified Interpretation of Stress in Molecular Systems (2010, neutral): “See for example [11].”
- Fluctuation Relations for Diffusion Processes (2007, neutral): “To this end, one employs simplified finite-dimensional models of reservoirs forced to keep their energy constant [24].”
- Mathematical and physical ideas for climate science (2013, background): “s not tell us anything about the actual value of the solution, it does allow us to analyze perturbations, where the dening vector eld F, and hence also L, are slightly altered. As described e.g. in (Evans and Morriss, 2008), these perturbative relations can be easily derived formally in the resolven”
- Blended response algorithms for linear fluctuation-dissipation for complex nonlinear dynamical systems (2007, background): “The general advantage provided by the fluctuation-dissipation theorem is that one can successfully predict the response of a dynamical system at statistical equilibrium to an arbitrary small external perturbation without ever observing the behavior of the perturbed system, which offers great versati”
- A constitutive model with microstructure evolution for flow of rate-independent granular materials (2011, methodology): “This disadvantage can be greatly alleviated through the use of the SLLOD algorithm (Evans & Morriss 1990).”