The open asymmetric simple exclusion process (ASEP) has emerged as a paradigmatic model of nonequilibrium behavior, in part due to its complex dynamical behavior and wide physical applicability as a model of driven diffusion. We compare the dynamical phase behavior of the one-dimensional (1D) ASEP and the multi-lane ASEP, a previously unstudied extension of the 1D model that may be thought of as a finite-width strip of the fully two-dimensional (2D) system. Our characterization employs large deviation theory (LDT), matrix product states (MPS), and the density matrix renormalization group (DMRG) algorithm, to compute the current cumulant generating function and its derivatives, which serve as dynamical order parameters. We use this measure t...
We obtain the large deviation functional of a density profile for theasymmetric exclusion process of...
Recent work has shown the effectiveness of tensor network methods for computing large deviation func...
Zugriff auf den Volltext ist aus datenschutzrechtlichen Gründen gesperrt, neue Version unter DuEPubl...
The open asymmetric simple exclusion process (ASEP) has emerged as a paradigmatic model of nonequili...
We demonstrate the power of 2D tensor networks for obtaining large deviation functions of dynamical ...
Over the last few decades the interests of statistical physicists have broadened to include the deta...
We study the dynamical large deviations of the classical stochastic symmetric simple exclusion proce...
Driven diffusive systems may undergo phase transitions to sustain atypical values of the current. Th...
Driven diffusive systems may undergo phase transitions to sustain atypical values of the current. Th...
Driven diffusive systems have provided simple models for nonequilibrium systems with nontrivial stru...
We study a periodic one-dimensional exclusion process composed of a driven and a diffusive part. In ...
The asymmetric exclusion process (ASEP) has attracted a lot of interest not only because of its many...
Here we demonstrate that tensor network techniques | originally devised for the analysis of quantum ...
We extend one-dimensional asymmetric simple exclusion process (ASEP) to a surface and show that the ...
Recent work has shown the effectiveness of tensor network methods for computing large deviation func...
We obtain the large deviation functional of a density profile for theasymmetric exclusion process of...
Recent work has shown the effectiveness of tensor network methods for computing large deviation func...
Zugriff auf den Volltext ist aus datenschutzrechtlichen Gründen gesperrt, neue Version unter DuEPubl...
The open asymmetric simple exclusion process (ASEP) has emerged as a paradigmatic model of nonequili...
We demonstrate the power of 2D tensor networks for obtaining large deviation functions of dynamical ...
Over the last few decades the interests of statistical physicists have broadened to include the deta...
We study the dynamical large deviations of the classical stochastic symmetric simple exclusion proce...
Driven diffusive systems may undergo phase transitions to sustain atypical values of the current. Th...
Driven diffusive systems may undergo phase transitions to sustain atypical values of the current. Th...
Driven diffusive systems have provided simple models for nonequilibrium systems with nontrivial stru...
We study a periodic one-dimensional exclusion process composed of a driven and a diffusive part. In ...
The asymmetric exclusion process (ASEP) has attracted a lot of interest not only because of its many...
Here we demonstrate that tensor network techniques | originally devised for the analysis of quantum ...
We extend one-dimensional asymmetric simple exclusion process (ASEP) to a surface and show that the ...
Recent work has shown the effectiveness of tensor network methods for computing large deviation func...
We obtain the large deviation functional of a density profile for theasymmetric exclusion process of...
Recent work has shown the effectiveness of tensor network methods for computing large deviation func...
Zugriff auf den Volltext ist aus datenschutzrechtlichen Gründen gesperrt, neue Version unter DuEPubl...