A Unified Critical Scaling Theory for Macroscopic Lightning and Quantum Avalanches: From Three-Dimensional Directed Percolation to Testable PredictionsLightning, the most colossal discharge in nature, and flux avalanches in quantum superconductors--phenomena separated by twenty orders of magnitude in scale--display striking fractal similarity. We…Zhe Li·Jun 14, 2026SaveLearn
Finite-size scaling in quasi-3D stick percolationThis work extends the universal finite-size scaling framework for continuum percolation from two-dimensional (2D) to quasi-three-dimensional (Q3D) stick systems, in which sequentially deposited wires…Ryan K. Daniels·Jun 14, 2026SaveLearn
Stochastic Thermodynamics and SDE-based Generative ModelsSDE-based generative models, including diffusion models and the Schrödinger bridge, have found broad applications in signal processing tasks such as speech enhancement, image restoration, and…Yaowen Zhang·Jun 13, 2026SaveLearn
Quasiparticle Diffusion for the Toda Fluid in EquilibriumMany-body integrable systems can be understood as a gas of quasiparticles. They propagate ballistically and drive large-scale transport. However, with the exception of the hard rods system, no tools…Seema Chahal, Alberto Brollo, Indranil Mukherjee et al.·Jun 13, 2026SaveLearn
Bond percolation in distorted simple cubic and body-centered cubic latticesWe investigate the effect of structural distortion on bond percolation in simple cubic and body-centered cubic lattices using extensive Monte Carlo simulations. Distortion is introduced through…Bishnu Bhowmik, Sayantan Mitra, Robert M. Ziff et al.·Jun 13, 2026SaveLearn
Generic long-range correlations in nonequilibrium mixturesWe study correlation functions in generic non-equilibrium mixtures, including multi-temperature systems and non-reciprocal field theories. The corresponding linear theory is short-ranged, and…Jessica Metzger, Yariv Kafri, Mehran Kardar et al.·Jun 12, 2026SaveLearn
Boltzmann-Like Occupation of Nonequilibrium Steady States on Dense NetworksA central problem in statistical physics is to extend the Boltzmann distribution to nonequilibrium steady states (NESS). We prove that NESS on large dense networks have Boltzmann-like occupation…Jacob Calvert·Jun 12, 2026SaveLearn
Extending Covariant Fluctuation Theorems into Quantum Regime through Quasiprobability ApproachThe covariant formulation of stochastic thermodynamics requires treating the stochastic work as a 4-vector, posing significant challenges for quantum systems due to the non-commutativity. We…Ji-Hui Pei, Tingzhang Shi, Jin-Fu Chen et al.·Jun 12, 2026SaveLearn
Generic nonlocal statistics of the stationary measure in conserved active systemsThe stationary measure of equilibrium systems with detailed balance follows a Boltzmann distribution, so that for short-ranged interactions the measure is local, meaning that distant spatial domains…Filippo De Luca, Michael E. Cates, Cesare Nardini·Jun 12, 2026SaveLearn
Thermodynamic Bounds from Otto--Villani Functional InequalitiesThe dissipation in the relaxation of an ensemble of conservative stochastic systems towards the equilibrium steady state is quantified by the free energy difference. Functional inequalities within…Andrea Auconi·Jun 12, 2026SaveLearn
Thermodynamic Framework for q-AffinityWe develop a thermodynamic framework for non-equilibrium affinities based on generalized entropies. In particular, we extend the classical concept of De Donder by introducing q-affinities…Dani Rodríguez-Castellanos, Petr Jizba·Jun 12, 2026SaveLearn
Stochastic Thermodynamics on Time-Evolving Curved SpacesWe construct stochastic thermodynamics of overdamped Langevin systems on nonrelaticvistic curved spaces with time-dependent metrics. The time dependence of the metric contributes to the energy…Rihito Nagase, Shoki Sugimoto, Asuka Takatsu et al.·Jun 12, 2026SaveLearn
Diffusion-driven autocatalytic dynamics on a sphereWe study the collective dynamics of independent particles that diffuse outside a spherical surface, on which they are replicated with a prescribed catalytic rate. In spatial dimensions three and…Denis S. Grebenkov·Jun 12, 2026SaveLearn
Significance of time-convolutionless mode-coupling theory in capturing the dynamics of glass-forming liquidsThis paper demonstrates the significance of the recently proposed time-convolutionless mode-coupling theory (TMCT) in capturing the dynamics of glass-forming liquids. The origin of the primary…Michio Tokuyama·Jun 12, 2026SaveLearn
Orthogonal Decomposition of Discretization-Induced Transport-Information Cost under Rank-Deficient ParametrizationsWhen we consider discretization of continuous probability distributions, it inevitably induces irreversible geometric distortion of local measure on the discretized support. While such…Koretaka Yuge·Jun 12, 2026SaveLearn
Tamed Feynman-Kac diffusion processes: Killing-branching intertwineRelaxation to equilibrium of a drifted Brownian motion is quantified by a transition probability density function, whose main (multiplicative) entry is an inferred Feynman-Kac kernel of the…Piotr Garbaczewski, Mariusz Żaba·Jun 12, 2026SaveLearn
Directed percolation in nuclear safetyNeutron behavior in a nuclear reactor is described using a directed percolation model. The preferred direction is created by time-oriented neutron generations. Using the time required to reach a…V. V. Ryazanov·Jun 12, 2026SaveLearn
Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomenaWe investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Swendsen-Wang and Wolff cluster algorithms.…Ian Pilé, Youjin Deng, Lev Shchur·Jun 12, 2026SaveLearn
Dynamic scaling near the Kasteleyn transition in spin ice: critical relaxation of monopoles and strings following a field quenchWe study dynamics in classical spin ice following a magnetic field quench to close to the Kasteleyn transition, using Monte Carlo simulations and dynamic scaling theory to characterize the relaxation…Sukla Pal, Stephen Powell·Jun 12, 2026SaveLearn
Fractal and Spectral Dimensions as Determinants of Thermal Ablation Outcomes in Cancer TissuesClinical thermal ablation outcomes display significant variability that classical bio-heat models cannot fully explain. One reason may lie in the fractal architecture of biological tissues, which has…Mario Olmo-Fajardo, Alexander López, Malte Henkel et al.·Jun 12, 2026SaveLearn
Ultra slow sub-logarithmic diffusion of a sluggish random walker subject to resetting with memoryWe solve a model of sluggish stochastic motion in which a Brownian particle diffuses with a diffusion coefficient that decays algebraically with the distance to the origin, as |x|-α.…Denis Boyer, Satya N. Majumdar·Jun 12, 2026SaveLearn
Thermodynamic Length in Stochastic Thermodynamics of Far-From-Equilibrium Systems: Unification of Fluctuation Relation and Thermodynamic Uncertainty RelationThe Boltzmann distribution for an equilibrium system constrains the statistics of the system by the energetics. Despite the non-equilibrium generalization of the Boltzmann distribution being studied…Atul Tanaji Mohite, Heiko Rieger·Jun 12, 2026SaveLearn
Analytical Theory of Chiral Active Particle Transport in a Fluctuating Density FieldWe develop a closed-form analytical theory for the transport of a chiral active Brownian particle in three dimensions, moving through a fluctuating local density field that models steric and…Jayam Joshi, Abhra Puitandy, Shradha Mishra·Jun 12, 2026SaveLearn
Stochastic Thermodynamics of Non-reciprocally Interacting Particles and FieldsNonreciprocal interactions that violate Newton's law 'actio=reactio' are ubiquitous in nature and are currently intensively investigated in active matter, chemical reaction networks,…Atul Tanaji Mohite, Heiko Rieger·Jun 12, 2026SaveLearn
Mean-field theory of myopic self-avoiding fractional Brownian motionMyopic self-avoiding fractional Brownian motion (FBM) is a stochastic process in which an ensemble of particles is driven by fractional Gaussian noise while being repelled by the gradient of the…Rashad Bakhshizada, Skirmantas Janušonis, Ralf Metzler et al.·Jun 11, 2026SaveLearn