Statistical Physics II: Nonequilibrium Statistical Mechanics
By R. Kubo. 2003
1,468 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c7b64065c401a78db0f557db7cfa5a454815486b
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Citations in the corpus
- Brownian Motion in AdS/CFT (2008, unknown): “1 Linear response theory We begin our discussion of the fluctuation-dissipation theorem with a lightning review of linear response theory [32, 43].”
- 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”
- Anomalous transport in the crowded world of biological cells (2013, methodology): “An equivalent way to characterize the dynamics of a tracer is to give a prescription on how individual trajectories are generated as a result of the stochastic fluctuations in the medium [15, 16].”
- Non-equilibrium statistical mechanics: from a paradigmatic model to biological transport (2011, unknown): “Near an equilibrium state this theorem implies the fluctuation–dissipation relation, previously derived from linear response theory [79, 80].”
- Quantum Fisher information matrix and multiparameter estimation (2019, background): “It is well known that the static susceptibility between two observables A and B, which represents the influence of 〈A〉’s perturbation on 〈B〉 under the thermal equilibrium, is proportional to the canonical correlation 1 β ∫ β 0 1 Z Tr(e −βHesHAe−sHB)ds [103], which can be further written into ∫ 1 0 T”
- The Mechanics and Statistics of Active Matter (2010, background): “Strongly non-FDT behaviour has been predicted [117] in an active hydrodynamic treatment of a stiff filament in an active medium, and connections drawn to the dynamics of auditory hair cells [118] and axons [119, 120].”
- Noname manuscript No. (will be inserted by the editor) (2006, unknown): “According to Kubo [1] the frictional memory kernel is related to the form of the correlation function for random force when the system is in equilibrium state.”
- Scalable molecular dynamics with NAMD (2005, methodology): “The (stochastic) Langevin equation [37] is used in NAMD to generate the Boltzmann distribution for canonical (NVT) ensemble simulations.”
- Dissipation Bounds All Steady-State Current Fluctuations. (2015, background): “One of the most useful insights into thermodynamics has been that fluctuations near equilibrium are completely characterized by just one principle, the fluctuation-dissipation theorem [1].”
- Nonlinear optical signals and spectroscopy with quantum light (2016, background): “These two quantities are related by the universal fluctuation-dissipation relation (Hashitsume et al., 1991),”
- Molecular dynamics simulations of lattice thermal conductivity and spectral phonon mean free path of PbTe: Bulk and nanostructures (2012, methodology): “Roh et al. found reduced thermal conductivity in individual single-crystalline PbTe nanowires grown by a chemical vapor transport method [6].”