1593 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 demonstrates that criticality is an intrinsic finite-size phenomenon characterized by specific morphological structures in microcanonical entropy derivatives, rather than solely a thermodynamic-limit singularity, by using the Berlin-Kac spherical model to trace how inflection points and extrema sharpen into macroscopic cusps as system size increases.
This paper investigates the effective interaction between two localized spin impurities in a frustrated Heisenberg chain using perturbation theory and DMRG, revealing that the interaction serves as a sensitive probe of the host's magnetic phase by exhibiting distinct power-law or exponential decay in weak coupling and a parity-dominated crossover in strong coupling regimes.
This study demonstrates that a slightly adjusted classical Density Functional Theory model, validated by Monte Carlo simulations, can successfully predict derivative thermodynamic properties of confined argon, revealing that both isothermal compressibility and thermal expansion coefficients are lower than bulk values and increase with decreasing pore size.
This paper experimentally demonstrates that by exploiting the nonequilibrium character of memory states through dynamical shaping of nonlinear potential landscapes in an optomechanical system, it is possible to achieve full information erasure with reduced power consumption and negative heat production, thereby surpassing the traditional limits set by Landauer's principle.
This paper demonstrates that temporal fluctuations in measurement rates within monitored quantum circuits induce a unique entanglement phase transition characterized by "ultrafast" logarithmic dynamics and temporal Griffiths phases, driven by measurement-induced quantum teleportation that effectively rotates an infinite-randomness critical point into spacetime.
This paper investigates how ferromagnetic coupling between two copies of a random hypergraph bicoloring problem lowers the clustering threshold and transforms the phase transition from discontinuous to continuous, thereby significantly impacting the convergence of Belief Propagation and highlighting the need for improved re-weighting strategies to enhance algorithmic performance.
This study demonstrates that membrane permeability to fluid but not solutes introduces osmotic forces that restrict the existence of canonical membrane relaxation modes and the validity of equipartition-based fluctuation predictions to a finite range of wavenumbers, which shrinks and eventually vanishes as surface tension increases.
This paper demonstrates that a constrained Brownian bridge evolves along an m-geodesic on the statistical manifold of Gaussian distributions, thereby establishing a physical realization of information geometry where random processes follow informational straight trajectories and highlighting the fundamental physical role of asymmetric informational distance.
This paper derives closed-form formulas for the first hitting time distribution of a stochastic process targeting a blinking (active/inactive) state, extending the analysis to include stochastic resetting despite the resulting non-Markovian memory effects, and validates these analytical findings with Langevin dynamics simulations.
This paper experimentally demonstrates how introducing hysteresis into a feedback-generated virtual potential creates a non-equilibrium steady state with an adjustable effective temperature, allowing a micro-resonator to erase information while consuming over 20% less energy than the Landauer bound by effectively acting as an embedded Maxwell demon.