Recent advances in percolation theory and its applications

AA Saberi - Physics Reports, 2015 - Elsevier
Percolation is the simplest fundamental model in statistical mechanics that exhibits phase
transitions signaled by the emergence of a giant connected component. Despite its very …

Controlling entanglement at absorbing state phase transitions in random circuits

P Sierant, X Turkeshi - Physical Review Letters, 2023 - APS
Many-body unitary dynamics interspersed with repeated measurements display a rich
phenomenology hallmarked by measurement-induced phase transitions. Employing …

Yielding of glass under shear: A directed percolation transition precedes shear-band formation

GP Shrivastav, P Chaudhuri, J Horbach - Physical Review E, 2016 - APS
Under external mechanical loading, glassy materials, ranging from soft matter systems to
metallic alloys, often respond via formation of inhomogeneous flow patterns, during yielding …

Field-theoretic analysis of directed percolation: Three-loop approximation

LT Adzhemyan, M Hnatič, EV Ivanova, MV Kompaniets… - Physical Review E, 2023 - APS
The directed bond percolation is a paradigmatic model in nonequilibrium statistical physics.
It captures essential physical information on the nature of continuous phase transition …

Measurement-induced phase transition in a chaotic classical many-body system

J Willsher, SW Liu, R Moessner, J Knolle - Physical Review B, 2022 - APS
Local measurements in quantum systems are projective operations which act to counteract
the spread of quantum entanglement. Recent work has shown that local, random …

Site and bond percolation thresholds on regular lattices with compact extended-range neighborhoods in two and three dimensions

Z Xun, D Hao, RM Ziff - Physical Review E, 2022 - APS
Extended-range percolation on various regular lattices, including all 11 Archimedean
lattices in two dimensions and the simple cubic (sc), body-centered cubic (bcc), and face …

Supervised and unsupervised learning of directed percolation

J Shen, W Li, S Deng, T Zhang - Physical Review E, 2021 - APS
Machine learning (ML) has been well applied to studying equilibrium phase transition
models by accurately predicating critical thresholds and some critical exponents. Difficulty …

Transition to turbulence in wall-bounded flows: Where do we stand?

P Manneville - Mechanical Engineering Reviews, 2016 - jstage.jst.go.jp
In this essay, we recall the specificities of the transition to turbulence in wall-bounded flows
and present recent achievements in the understanding of this problem. The transition is …

[图书][B] Computational Statistical Physics

L Böttcher, HJ Herrmann - 2021 - books.google.com
Providing a detailed and pedagogical account of the rapidly-growing field of computational
statistical physics, this book covers both the theoretical foundations of equilibrium and non …

Lightning-discharge initiation as a noise-induced kinetic transition

DI Iudin - Radiophysics and Quantum Electronics, 2017 - Springer
The electric fields observed in thunderclouds have the peak values one order of magnitude
smaller than the electric strength of air. This fact renders the issue of the lightning-discharge …