2358 papers
Statistical mechanics explores how the chaotic motion of countless tiny particles gives rise to the predictable laws governing heat, pressure, and phase transitions. This field bridges the gap between the microscopic world of atoms and the macroscopic reality we experience daily, offering deep insights into why materials behave the way they do.
On Gist.Science, we process every new preprint in this category as it appears on arXiv to make these complex findings accessible to everyone. For each paper, we provide both a plain-language explanation for the curious reader and a detailed technical summary for specialists, ensuring that groundbreaking research is never lost behind a wall of jargon.
Below are the latest papers in statistical mechanics, freshly curated and summarized to help you understand the cutting edge of this fascinating discipline.
This paper proposes that three-dimensional exciton-polariton crystals serve as a controllable quantum platform for observing 3D Kardar-Parisi-Zhang universality, demonstrating through theoretical derivation and numerical simulations that the condensate phase exhibits the characteristic scaling exponents of the 3+1-dimensional KPZ equation.
This paper analytically characterizes how structural heterogeneity in feedback-driven Ising neural networks governs out-of-equilibrium dynamics by decoupling spiking rates to induce unique phenomena like kinematic waves and phase separation, which can ultimately destabilize macroscopic synchronization.
This paper presents a systematic closure scheme for an infinite hierarchy of kinetic equations that yields an exceptionally accurate, rapidly converging analytical solution for the time-dependent kinetics and jamming density of the one-dimensional Riviera model, for which no exact solution was previously known.
This paper constructs a central mathematical object that mediates between two distinct geometric descriptions of the transition from microscopic particle dynamics to macroscopic parabolic partial differential equations within Markov diffusion theory, utilizing a Fréchet manifold framework of probability densities on Riemannian manifolds to partially universalize this hierarchy.
This paper analytically demonstrates that photons and gravitons confined in a Casimir box undergo a first-order phase transition closely related to Bose-Einstein condensation, driven by symmetry breaking from boundary conditions and controlled by the chemical potential for optical helicity.
This paper extends the quantum formulation of information processing thermodynamics to autonomous Hamiltonian systems with initial correlations, deriving generalized constraints on the total Hamiltonian, a dynamical Landauer bound via a quantum thermodynamic speed limit, and an interpretation of this limit through quantum hypothesis testing.
This paper demonstrates that the kicked-Ising model at the self-dual point serves as an explicit quantum battery charging mechanism where maximal entanglement growth drives maximal energy injection, offering an analytically characterized, stable, and scalable protocol that can be accelerated via a fixed time window approach.
This paper derives closed-form formulas for the first hitting time distribution of a stochastic process targeting a blinking (active/inactive) state under stochastic resetting, revealing that the system's non-Markovian nature due to residual memory prevents the application of standard techniques.
This paper investigates how Matrix-Product Operator (MPO) dualities, encompassing both invertible and non-invertible transformations, modify local Yang-Baxter integrable structures in lattice models by introducing an extended R-matrix that satisfies modified algebraic relations, a framework illustrated through applications to the XXZ spin chain involving the cluster entangler and Kramers-Wannier duality.
This paper introduces a multispecies boundary-driven harmonic process on a one-dimensional chain, establishing its connection to an integrable open rational Heisenberg spin chain of higher rank through the derivation of R- and K-matrices and the construction of a double-row transfer matrix, while also defining three associated dual models.