253 papers
This paper derives Navier-Stokes hydrodynamic equations and calculates transport coefficients for confined, quasi-two-dimensional mixtures of inelastic hard spheres at moderate densities using the revised Enskog theory, applying the results to analyze thermal diffusion-driven segregation.
This paper introduces a gradient-based optimization method using straight-through Gumbel-Softmax estimation to enable efficient parameter inference and inverse design in exact stochastic kinetic models by approximating gradients through continuous relaxation while preserving discrete stochastic dynamics in the forward pass.
This paper challenges the notion of universal monotonic entropy increase by demonstrating that time-reversal invariance necessitates a constant entropy trajectory, proposing instead that entropy is a stochastic variable whose distribution is fundamentally reshaped by constraints and boundary conditions rather than by an intrinsic directional drive.
This paper introduces a dynamic Bayesian network-based measurement scheme that preserves quantum coherence and minimizes backaction to accurately determine work statistics in coherent engines, overcoming the limitations of standard protocols that can disrupt engine operation and invalidate universal fluctuation bounds.
This paper presents an exact mode decomposition of the tripartite information for free fermions on two-dimensional lattices, identifying a universal entanglement coefficient derived from the sine kernel that governs scale-dependent monogamy of mutual information and entanglement singularities at Lifshitz transitions.
This paper proposes a unified framework for measuring quantum chaos and ergodicity by leveraging the enhanced robustness of Hamiltonian learning against small errors, offering both analytical insights and viable experimental methods for quantum simulators.
This study investigates the thermodynamic properties of finite Su-Schrieffer-Heeger chains, revealing a distinct metastable phase marked by heat capacity anomalies that emerges from hopping asymmetry and finite-size effects, thereby uncovering a rich bulk phase structure separate from topological boundary-driven transitions.
This paper elucidates the mechanism behind the improved accuracy of semiclassical dynamics enhanced by generalized quantum master equations by demonstrating that exact "left-handed" time-derivatives delay inaccuracy while introducing long-term instability, and subsequently proposes a protocol to determine memory kernel cutoffs that leverages short-time gains while avoiding unphysical behavior in challenging regimes.
This paper derives simple necessary conditions on transition rates for the Markovian Mpemba effect in multi-level systems, demonstrating that multiple thermalization time scales enable the anomaly while ruling out sub-Ohmic and Ohmic spectra as candidates due to the maximum entropy principle.
This paper establishes a simple thermodynamic framework using ultrafast pump-probe measurements to demonstrate that the ultrafast insulator-to-metal transition in vanadium dioxide is driven by the population of the full thermal phonon spectrum, particularly high-frequency oxygen modes, rather than a single coherent structural mode.
Zeitz, Wolf, and Stark demonstrate that while active and Brownian particles exhibit similar subdiffusive behavior near the percolation threshold in a random Lorentz gas, active particles reach steady state faster and display lower effective diffusion at high activity due to self-trapping effects.
This paper resolves the controversy of spurious multifractality in discrete systems by establishing a rigorous Finite-Size Scaling protocol for MFDFA on the 2D Ising model, demonstrating that apparent multifractality in clean systems is a finite-size artifact while genuine multifractality persists in disordered variants like the Random Bond Ising Model.
This paper proposes and analyzes a low-voltage error-suppression technique for stochastic CMOS bits by coupling them into chains, demonstrating via tensor network simulations that while inter-unit correlations enhance reliability, increasing bias voltage remains a more energy-efficient path to stability than extending chain length.
This study utilizes classical Monte Carlo simulations of an effective quadrupole model on a diamond lattice to demonstrate that the competition between magnetic fields and quadrupole anisotropy, mediated by a crucial symmetry-allowed biquadratic interaction, drives successive single- and double- ordering transitions that reproduce the experimentally observed weak-field topology in PrIrZn.
This study employs Monte Carlo simulations to investigate how nonmagnetic impurities and quenched random magnetic fields suppress the antiferromagnetic phase transition in Ising metamagnets, revealing distinct linear and nonlinear dependencies of the critical temperature on disorder concentration and field width, respectively, while confirming that the pure system's Néel temperature is recovered in the limit of vanishing disorder.
This paper explores the statistical mechanics of particles in indistinguishable energy states by adapting combinatorial counting methods to derive exact distribution functions, revealing that classical particles within this framework exhibit a definitive glass transition characterized by the vanishing of configurational entropy below a finite temperature.
This paper proposes a minimal electrostatic theory based on solvation entropy and the extended Born equation to quantitatively explain the large Seebeck coefficients in liquids, identifying key factors such as ion valence, cationic radius, and the temperature dependence of the dielectric constant as crucial determinants of the response.
Although power-counting suggests that spatially inhomogeneous diffusion is irrelevant in the contact process, large-scale simulations reveal that such disorder destabilizes the standard directed-percolation critical point by generating effective random-mass disorder, thereby driving the transition into an infinite-randomness universality class.
This paper derives a new extended dynamical density functional theory (EDDFT) for nonisothermal binary systems by incorporating momentum and energy densities via the Mori-Zwanzig-Forster projection operator technique, thereby enabling the description of both diffusive and convective dynamics while yielding exact functionals for hard spheres and correctly predicting the speed of sound.
This paper proposes a universal framework explaining quadrupolar order in magneto-electric materials as a composite phase emerging from a parent state driven by thermal fluctuations and symmetry, offering a predictive approach for transition temperatures and strain coupling without requiring explicit microscopic details.