arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2003.03050cond-mat.stat-mech
收藏

Dynamical Phase Transitions in a 2D Classical Nonequilibrium Model via 2D Tensor Networks

Phillip Helms, Garnet Kin-Lic Chan

英文摘要:

We demonstrate the power of 2D tensor networks for obtaining large deviation functions of dynamical observables in a classical nonequilibrium setting. Using these methods, we analyze the previously unstudied dynamical phase behavior of the fully 2D asymmetric simple exclusion process with biases in both the x and y directions. We identify a dynamical phase transition, from a jammed to a flowing phase, and characterize the phases and the transition, with an estimate of the critical point and exponents.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑