Journal
PHYSICAL REVIEW LETTERS
Volume 125, Issue 14, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.125.140601
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Funding
- U.S. National Science Foundation [1665333]
- NSF Graduate Research Fellowship [DGE-1745301]
- ARCS Foundation Award
- Division Of Chemistry
- Direct For Mathematical & Physical Scien [1665333] Funding Source: National Science Foundation
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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.
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