1537 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.
Using a spin-component expansion, this paper resolves a long-standing debate by demonstrating that the classical kagome Heisenberg antiferromagnet undergoes a weak first-order phase transition into a ordered state at low temperatures, rather than remaining a spin liquid as previously suggested by Monte Carlo simulations.
This paper presents an exact analytical solution for the non-Hermitian XY spin chain with complex anisotropy and open boundaries, demonstrating that its quasi-energy spectrum retains a free-fermion structure while explicitly constructing biorthogonal and generalized eigenvectors at exceptional points to reveal their role as branch points that permute eigenstates upon encirclement.
This paper introduces a symmetric tridiagonal matrix-valued process with stochastic resetting, demonstrating that simultaneous resetting yields an analytically solvable stationary eigenvalue distribution identical to resetting Dyson Brownian motion, while independent resetting produces a distinct ensemble that is studied numerically and applied to compute the annealed partition function of a disordered quantum system.
This paper presents a levitated microparticle spectrometer that exploits a resonant amplification of position fluctuations to characterize the spectral properties of Random Telegraph Noise across six decades of timescale, offering a novel platform for studying non-equilibrium stochastic dynamics in systems ranging from quantum technologies to biological and social behaviors.
This paper proposes a Cattaneo-type subdiffusion equation (CTSE) that incorporates a random time delay in flux activation via a Mittag-Leffler distribution, resulting in a model where particles exhibit subdiffusion across all time scales despite displaying superdiffusive characteristics in the short-time limit, and further explores its implications for boundary conditions and experimental identification.
This paper utilizes the two-particle irreducible (2PI) effective action formalism to demonstrate that quantum fluctuations in a fully connected SU(3) spin-exchange model regularize chaotic macroscopic dynamics, highlighting the necessity of beyond-mean-field treatments for accurately describing nonequilibrium phenomena in quantum many-body systems.
This study extends Macroscopic Fluctuation Theory to non-steady-state processes by deriving exact expressions for current variance and the cumulant generating function in one-dimensional boundary-driven diffusive systems, demonstrating that the framework can quantitatively describe current fluctuations during relaxation toward a steady state.
Using matrix product state simulations and bosonization techniques, this paper demonstrates that the long-range, anisotropic Heisenberg chain exhibits a continuous deconfined quantum critical transition between valence bond solid and antiferromagnetic phases, which is effectively described by a double-frequency sine-Gordon model and can be realized using trapped-ion quantum simulators.
This paper introduces a novel exclusion process with a local kinetic constraint that exhibits a phase transition from a homogeneous state to a clustered, translation-invariance-breaking state, characterized by glassy coarsening dynamics and a counterintuitive "faster-is-slower" effect where increased flow asymmetry reduces the stationary current.
This paper establishes a universal scaling theory for defect statistics in counterdiabatic quantum critical dynamics by developing an analytically tractable local expansion scheme, which is validated on transverse field Ising and long-range Kitaev models to evaluate the effectiveness of local protocols for quantum state preparation.