2392 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 analytically and numerically that a local quantum quench in XX-spin chains with open boundary conditions can prevent thermalization and induce a strong violation of the eigenstate thermalization hypothesis, even when weaker versions of the hypothesis typically hold in integrable systems.
Nexus-CAT is an open-source Python framework that utilizes percolation theory and flexible clustering strategies to characterize long-range structural connectivity in glassy materials, revealing that pressure-induced crystallization in amorphous silicon is preceded by an amorphous-to-amorphous transition.
This paper addresses the inverse engineering problem of determining the external temperature protocols required to achieve specific internal cooling trajectories, utilizing both phenomenological and microscopic models to analyze standard cooling, anomalous Mpemba effects, and the existence and uniqueness of such backward-engineered solutions.
This paper demonstrates that extending a frustrated one-dimensional Ising model to a two-dimensional decorated bilayer lattice transforms its sharp pseudo-transitions into a real first-order phase transition, while revealing that a Widom line persists above the bi-critical point to re-interpret the physics of the original one-dimensional models.
This article provides an accessible, non-technical introduction to soft active matter physics for students and early-career researchers, explaining its fundamental differences from equilibrium systems and its relevance to biological processes through core concepts and everyday examples, while concluding with a discussion of experimental findings on organism migration.
This paper resolves Loschmidt's paradox by arguing that macroscopic irreversibility arises not from a breakdown of microscopic time-reversal symmetry, but from the dynamical inaccessibility of time-reversed microstates once chaotic evolution drives phase-space structures below the quantum resolution scale, thereby establishing entropy increase as a consequence of operational information loss rather than fundamental information destruction.
This paper establishes a duality between decoding toric codes under coherent errors and 1+1D monitored Majorana dynamics, demonstrating that the Altland-Zirnbauer symmetry class of the dual system dictates the universal structure of decodability phase transitions, which differ fundamentally between class DIII (involving entanglement scaling changes) and class D (involving topological phase changes), while revealing that square-lattice codes are more vulnerable to spatially varying coherent errors than uniform ones.
This paper demonstrates that Chain of Thought improves large language model performance by decomposing complex classification tasks into a tree structure of smaller problems, revealing that while deeper "thinking" reduces error up to an optimal depth, performance cannot be further improved beyond a specific threshold determined by the number of classes per step.
This paper utilizes nonequilibrium Green's functions to demonstrate that steady-state phonon heat currents across a coupled harmonic junction obey Fourier's law and exhibit direction-independent thermal conductance that peaks when phonon spectra match, though low-temperature exclusion of high-frequency modes can shift this maximum.
This paper derives a unified closed hydrodynamic theory for scalar active matter with spatially regulated motility, demonstrating that orientation dynamics are captured by an autocorrelation tensor and revealing a novel "anti-MIPS" phase separation phenomenon in active polymers where dense regions exhibit enhanced activity.