Tensor network dynamical message passing for epidemic modelsWhile epidemiological modeling is pivotal for informing public health strategies, a fundamental trade-off limits its predictive fidelity: exact stochastic simulations are often computationally…Cheng Ye, Zi-Song Shen, Pan Zhang·Feb 6, 2026SaveLearn
Inferring Microscopic Explanatory Structures from Observational Constraints via Large DeviationsWe study how macroscopic observational constraints restrict admissible microscopic explanatory structures when no intrinsic order or dynamics is assumed a priori. Starting from an unordered…Akihisa Ichiki·Feb 6, 2026SaveLearn
Relativity of Observation: Operational Intensive Variables in Nonequilibrium ThermodynamicsWe formulate nonequilibrium thermodynamics in which intensive variables acquire operational meaning through measurement protocols consistent with local reciprocity. Using physical equilibrium as a…Akihisa Ichiki·Feb 6, 2026SaveLearn
Ornstein-Uhlenbeck information particle: A new candidate of active agentAn information particle can acquire active-like motion through transforming the information entropy into effective self-propulsion velocity/force using the attached information engine. We consider an…Xin Song, Xiji Shao, Yanwen Zhu et al.·Feb 6, 2026SaveLearn
A Novel Mechanism of Ordering in a Coupled Driven System: Vacancy Induced Phase SeparationWe study a coupled driven system where two different species of particles, along with some vacancies or holes, move on a landscape whose shape fluctuates with time. The movement of the particles is…Chandradip Khamrai, Sakuntala Chatterjee·Feb 5, 2026SaveLearn
Branch-and-Bound Tensor Networks for Exact Ground-State CharacterizationCharacterizing the ground-state properties of disordered systems, such as spin glasses and combinatorial optimization problems, is fundamental to science and engineering. However, computing exact…Yijia Wang, Xuanzhao Gao, Pan Zhang et al.·Feb 5, 2026SaveLearn
Mean-field behavior of the finite size Ising model near its critical pointUniversality classes encompass the analogous thermodynamic behavior of unlike physical systems, at different spatial dimensions d, in the vicinity of their critical point. Critical exponents define…D. Olascoaga-Rodríguez, F. Sastre, V. Romero-Rochín·Feb 5, 2026SaveLearn
The Most Dispersed Subset of Random Points in RdConsider a population of N individuals, each having d≥ 1 different traits, and an additive measure, called dispersion, which rewards large pairwise separations between traits. The goal is to…Fabio Deelan Cunden, Noemi Cuppone, Giovanni Gramegna et al.·Feb 4, 2026SaveLearn
Emergent Hawking Radiation and Quantum Sensing in a Quenched Chiral Spin ChainWe investigate the emergence and detection of Hawking radiation (HR) in a 1D chiral spin chain model, where the gravitational collapse is simulated by a sudden quantum quench that triggers a…Nitesh Jaiswal, S. Shankaranarayanan·Feb 4, 2026SaveLearn
Population dynamics simulations of large deviations for three subclasses of the Kardar-Parisi-Zhang universality classRecent theoretical studies have gradually deepened our understanding of the one-dimensional (1D) Kardar-Parisi-Zhang (KPZ) universality class even in the large deviation regime, but numerical methods…Yuta Yanagibashi, Kazumasa A. Takeuchi·Feb 4, 2026SaveLearn
Statistical Mechanics of the Sub-Optimal TransportStatistical mechanics is a powerful framework for analyzing optimization yielding analytical results for matching, optimal transport, and other combinatorial problems. However, these methods…Riccardo Piombo, Lorenzo Buffa, Dario Mazzilli et al.·Feb 4, 2026SaveLearn
Area under subdiffusive random walksWe study the statistical properties of the area and the absolute area under the trajectories of subdiffusive random walks. Using different frameworks to describe subdiffusion (as the scaled Brownian…Vicenç Méndez, Rosa Flaquer-Galmés, Javier Cristín·Feb 4, 2026SaveLearn
Tsallis Entropy derived from the Chaitin-Kolmogorov Informational EntropyWe provide a rigorous first-principle derivation of the non-additive Tsallis' entropy by employing the Chaitin-Kolmogorov algorithmic information theory. By applying non-local restrictive rules…Airton Deppman·Feb 3, 2026SaveLearn
The Mpemba effect in the Descartes protocol: A time-delayed Newton's law of cooling approachWe investigate the direct and inverse Mpemba effects within the framework of the time-delayed Newton's law of cooling by introducing and analyzing the Descartes protocol, a three-reservoir…Andrés Santos·Feb 3, 2026SaveLearn
Stochastic Thermodynamics of Quantum-Induced Stochastic DynamicsQuantum-Induced Stochastic Dynamics arises from the coupling between a classical system and a quantum environment. Unlike standard thermal reservoirs, this environment acts as a dynamic bath, capable…Pedro V. Paraguassú·Feb 3, 2026SaveLearn
Emergent correlations in the selected link-times along optimal pathsIn the context of first-passage percolation (FPP), we investigate the statistical properties of the selected link-times (SLTs) -the random link times comprising the optimal paths (or geodesics)…Iván Álvarez Domenech, Javier Rodríguez-Laguna, Pedro Córdoba-Torres et al.·Feb 3, 2026SaveLearn
Solving models with generalized free fermions I: Algebras and eigenstatesWe study quantum spin chains solvable via hidden free fermionic structures. We study the algebras behind such models, establishing connections to the mathematical literature of the so-called…Kohei Fukai, Balázs Pozsgay, István Vona·Feb 3, 2026SaveLearn
Quantum phase transition in transverse-field Ising model on Sierpiński gasket latticeWe investigate the quantum phase transition in the transverse-field Ising model on the Sierpiński gasket using finite-size scaling (FSS) and numerical renormalization group (NRG). Since next…Tymoteusz Braciszewski, Oliwier Urbański, Piotr Tomczak·Feb 2, 2026SaveLearn
Thermalization in classical systems with discrete phase spaceWe study the emergence of statistical mechanics in isolated classical systems with local interactions and discrete phase spaces. We establish that thermalization in such systems does not require…Pavel Orlov, Enej Ilievski·Feb 2, 2026SaveLearn
Resolution of the Two-Dimensional Ferromagnetic Spin-3/2 Ising Model via Cluster GrowthWe propose a computational methodology based on a hierarchical cluster growth process to solve spin-3/2 Ising models efficiently. The method circumvents the exponential complexity (\(4N\)) of the…J. Roberto Viana, Octavio D. Rodriguez Salmon, Minos A. Neto et al.·Feb 2, 2026SaveLearn
Renewal theory for a run-and-tumble particle with stochastic resetting and a sticky boundaryWe consider a run-and-tumble particle (RTP) with stochastic resetting confined to the half line [0,∞) with a sticky boundary at x=0. In the bulk the RTP tumbles at a constant rate α>0…Paul C Bressloff, Samantha Linn·Feb 2, 2026SaveLearn
Mandelbrot, Financial Markets and the Origins of "Econophysics"This text revisits the origins of econophysics through the figure of Benoît Mandelbrot, not as the father of fractals, but as the instigator of a distinctive scientific posture. The guiding thread is…Jean-Philippe Bouchaud·Feb 2, 2026SaveLearn
Quantum Geometric Entropy Production and Entropy Hall EffectQuantum geometry has been extensively linked to charge, spin, orbital, and thermal transport in crystalline solids, but its imprint on entropy transport remains largely unexplored. Here we develop a…Longjun Xiang, Jinxiong Jia, Jian Wang·Feb 2, 2026SaveLearn
Internal Trajectories and Observation Effects in Langevin Splitting SchemesLangevin integrators based on operator splitting are widely used in molecular dynamics. This work examines Langevin splitting schemes from the perspective of their internal trajectories and…Bettina G. Keller·Feb 2, 2026SaveLearn
Critical Temperatures from Domain-Wall Microstate Counting: A Topological Solution for the Potts Universality ClassWe derive a universal relation for the critical temperatures of the q-state Potts model based on the counting of domain-wall microstates. By balancing interface energy against configurational…David Vaknin·Feb 1, 2026SaveLearn