2356 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 introduces Markov chain Monte Carlo (MCMC) cycles as an analogy to thermodynamic heat engines to demonstrate that non-zero net work output is achievable if and only if the underlying Bayesian model is non-Gaussian, thereby establishing a novel measure of non-Gaussianity for statistical inference.
This paper demonstrates that for non-equilibrium quantum many-body systems with timescale separation, complex nonlinear properties of the global state can be accurately reconstructed by applying maximum-entropy principles to slow hydrodynamic modes, thereby establishing a new paradigm of "global restricted typicality" where the system behaves as a typical pure state within a dynamically restricted submanifold of the Hilbert space.
This paper generalizes Zubarev's nonequilibrium statistical operator method to incorporate additive and nonlocal boundary functionals, establishing a unified thermodynamic framework that connects maximum information entropy with large deviation theory to optimize stochastic particle separation through history-dependent non-Markovian transport.
This study demonstrates that the static and dynamic properties of rough hard-particle fluids across a wide range of densities can be quantitatively predicted by mapping them to equivalent hard-disk systems using an analytically derived effective particle size.
This paper establishes a microscopic phase-space description of the trapped quantum Calogero model by constructing a Hermitian Wigner operator that obeys an exact evolution equation, demonstrating that the system undergoes rigid phase-space rotation and that its moments form rotating multiplets rather than independent conserved quantities.
This paper demonstrates that Chern insulators under open boundary conditions exhibit a robust, topologically protected giant orbital diamagnetism that scales linearly with system size, a phenomenon driven by chiral edge states and fundamentally linked to the divergent diamagnetism observed in massless Dirac systems like graphene.
This computational study demonstrates that increasing the interaction range in an interconverting lattice model suppresses critical fluctuations to drive the system from a nearest-neighbor regime with two multicritical behaviors toward a meanfield limit with four distinct archetypes, thereby elucidating the evolution of fluid multicriticality through crossover phenomena.
This paper demonstrates that the emergent collective behaviors of independent AI agents in a shared wiki environment are driven primarily by a simple copying mechanism, where agents probabilistically adopt options based on their immediate visibility, thereby creating stable conventions and heavy-tailed distributions without explicit coordination.
This paper demonstrates that the claims of the KPZ scaling theory are validated by a recent proof from Borodin and Corwin regarding the asymptotics of the semi-discrete directed polymer model.
This paper introduces a toy statistical model describing the chemical equilibrium between localized and itinerant charge carriers, which demonstrates a crossover transition analogous to the -to- phase change observed in cerium metal.