Exponents and front fluctuations in the quenched Kardar-Parisi-Zhang universality class of one- and two- dimensional interfacesWe have simulated an automaton version of the quenched Kardar-Parisi-Zhang (qKPZ) equation in one and two dimensions in order to study the scaling properties of the interface at the depinning…Ángela Tajuelo-Valbuena, Jara Trujillo-Mulero, Juan J. Meléndez et al.·Dec 17, 2025SaveLearn
Thermodynamics of the q-deformed Kittel--Shore modelThe Kittel--Shore Hamiltonian characterizes N spins with identical long-range interactions, and the su(2) coalgebra has been proven to be a symmetry of this model, which can be exactly…V. Mariscal, J. J. Relancio·Dec 17, 2025SaveLearn
50 years of Yukhnovskii's critical point theory: its place in the constant flow of theoretical physicsHalf a century ago, Ihor Yukhnovskii elaborated a method of studying the critical point of the three-dimensional Ising model based on a layer-by-layer integration in the space of collective…Yu. Kozitsky·Dec 16, 2025SaveLearn
Age-structured hydrodynamics of ensembles of anomalously diffusing particles with renewal resettingWe develop an age-structured hydrodynamic (HD) theory which describes the collective behavior of N 1 anomalously diffusing particles under stochastic renewal resetting. The theory treats the age…Baruch Meerson, Ohad Vilk·Dec 16, 2025SaveLearn
Tractable Model for Tunable Non-Markovian DynamicsNon-Markovian dynamics are ubiquitous across physics, biology, and engineering. Yet our understanding of non-Markovian processes significantly lags that of simpler Markovian processes, due largely to…Matthew P. Leighton, Christopher W. Lynn·Dec 15, 2025SaveLearn
Decomposing Non-Markovian History DependenceNon-Markovian stochastic processes are ubiquitous in biology. Nevertheless, we lack a general framework for quantifying historical dependencies. In this Letter, we propose an information-theoretic…Matthew P. Leighton, Christopher W. Lynn·Dec 15, 2025SaveLearn
Renormalization group for spectral collapse in random matrices with power-law variance profilesWe propose a renormalization group (RG) approach to compare and collapse eigenvalue densities of random matrix models of complex systems across different system sizes. The approach is to fix a…Philipp Fleig·Dec 15, 2025SaveLearn
Deriving the Eigenstate Thermalization Hypothesis from Eigenstate Typicality and Kinematic PrinciplesThe eigenstate thermalization hypothesis (ETH) provides a powerful framework for understanding thermalization in isolated quantum many-body systems, yet a complete and conceptually transparent…Yucheng Wang·Dec 15, 2025SaveLearn
Hysteresis, Laning, and Negative Drag in Binary Systems with Opposite and Perpendicular DrivingWe consider a binary system of particles with repulsive interactions that move in opposite or perpendicular directions to each other under an applied external drive. For opposite driving, at higher…C. Reichhardt, C. J. O. Reichhardt·Dec 15, 2025SaveLearn
Monte Carlo study of phase transitions in model orthonickelateThe results of numerical simulation using a classical Monte Carlo method with a kinematic accounting of the bosons concentration for a pseudospin model of orthonickelates are presented. Type of the…V. S. Ryumshin·Dec 15, 2025SaveLearn
Spectral Entropy via Random Spanning ForestsWe establish an exact analytic relation between random spanning forests and the heat-kernel partition function. This identity enables estimation of partition functions, energies, and the Von Neumann…Carlo Nicolini·Dec 15, 2025SaveLearn
Zipfian universality of interaction laws: A statistical-mechanics framework for inverse power scalingInverse power-law interaction forms, such as the inverse-square law, recur across a wide range of physical, social, and spatial systems. While traditionally derived from specific microscopic…Jerome Baray·Dec 15, 2025SaveLearn
Scaling laws for stationary Navier-Stokes-Fourier flows and the unreasonable effectiveness of hydrodynamics at the molecular levelHydrodynamics provides a universal description of the emergent collective dynamics of vastly different many-body systems, based solely on their symmetries and conservation laws. Here we harness this…P. I. Hurtado, J. J. del Pozo, P. L. Garrido·Dec 15, 2025SaveLearn
Universal splitting of phase transitions and performance optimization in driven collective systemsSpontaneous symmetry breaking is a hallmark of equilibrium systems, typically characterized by a single critical point separating ordered and disordered phases. Recently, a novel class of…Gustavo A. L. Forão, Jonas Berx, Tan Van Vu et al.·Dec 14, 2025SaveLearn
From Frequency Dependent Specific Heat to Fictive Temperature of a Glassy LiquidUpon rapid quenching of temperature of a glass forming liquid, the system falls out of equilibrium due its finite relaxation time. Additionally, the relaxation becomes progressively slower with time.…Biman Bagchi·Dec 14, 2025SaveLearn
Description using equilibrium temperature in the canonical ensemble within the framework of the Tsallis statistics employing the conventional expectation valueWe studied the thermodynamic quantities and the probability distribution, expressing the probability distribution as a function of the energy, in the canonical ensemble within the framework of the…Masamichi Ishihara·Dec 13, 2025SaveLearn
A mini-review on combinatorial solutions to the Marcus-Lushnikov irreversible aggregationOver the past decade, a combinatorial framework for discrete, finite, and irreversibly aggregating systems has emerged. This work reviews its progress, practical applications, and limitations. We…Michał Łepek, Agata Fronczak, Piotr Fronczak·Dec 12, 2025SaveLearn
Coarse-Graining via Lumping: Exact Calculations and Fundamental LimitationsDetecting broken time-reversibility at micro- and nanoscale is often difficult when experiments offer limited state resolution. We introduce a lumping method that builds an effective semi-Markov…Gianluca Teza, Attilio L. Stella, Trevor GrandPre·Dec 12, 2025SaveLearn
A Single-granule Stirling Heat EngineSingle-particle heat engines at atomic and colloidal scales obey the universal thermodynamic bounds on work and efficiency. Here, we translate these principles to the macroscale by building an…Niloyendu Roy, Pragya Arora, A K Sood et al.·Dec 12, 2025SaveLearn
Exact fluctuation relation for open systems beyond the Zwanzig FEP equationWe develop a fluctuation framework to quantify the free energy difference between two equilibrium states connected by nonequilibrium processes under arbitrary dynamics and system-environment…Mohammad Rahbar, Christopher J. Stein·Dec 12, 2025SaveLearn
Bose one-component plasma in 2D: a Monte Carlo studyThe low-temperature properties of a 2D Bose fluid of charged particles interacting through a 1/r potential, moving in the presence of a uniform neutralizing background, is studied by Quantum Monte…Massimo Boninsegni·Dec 11, 2025SaveLearn
Space-time correlations in the 1D Directed Stochastic Sandpile modelSandpile models are known to resist exact results. In this direction, space-time correlations between avalanches have proven to be especially difficult to access. One of the main obstacle to do so…Valentin Lallemant·Dec 11, 2025SaveLearn
Multiloop calculations with parametric integration in critical dynamics: the four-loop analytic study of model A of ϕ4 theoryWe perform an analytical four loop calculation of exponent z in model A of critical dynamics in d=4-2 dimensions. This is the first time such a large order of perturbation theory has…Loran Ts. Adzhemyan, Diana A. Davletbaeva, Daniil A. Evdokimov et al.·Dec 11, 2025SaveLearn
Janus Percolation in Anisotropic Limited-Degree NetworksMany real-world infrastructures, from sensor and road networks to power grids, are spatially embedded and anisotropic, with constraints on the maximum number of links each node can establish. Such…Jacopo A. Garofalo, Nuno A. M. Araújo, Lucilla de Arcangelis et al.·Dec 11, 2025SaveLearn
Discreteness-induced spatial chaos versus fluctuation-induced spatial order in stochastic Turing pattern formationWe investigate Turing pattern formation in a stochastic reaction-diffusion model defined on N lattice sites, where each lattice site is associated with a reaction vessel of volume Ω. We focus on…Yusuke Yanagisawa, Shin-ichi Sasa·Dec 11, 2025SaveLearn