1592 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 investigates the transition from generalized to conventional hydrodynamics in nearly integrable systems by employing a relaxation time approximation for the collision term, explicitly deriving Navier-Stokes transport coefficients and characterizing the crossover scales through the dynamics of charge densities and correlation functions.
This paper derives an exact generalization of the Lebowitz–Percus–Verlet formula that relates kinetic energy fluctuations to specific heat for arbitrary steady-state ensembles and system sizes, validating the result through simulations and exact calculations while highlighting its relevance to systems with negative heat capacity and ensemble inequivalence.
This paper introduces a complexity-boosted distance measure that enables pure data-driven, unsupervised machine learning to accurately classify quantum many-body phases from time series data without prior knowledge, demonstrating robustness against noise and potential applications in predicting natural disasters and financial trends.
This paper establishes a unified framework linking thermal equilibrium and quantum dynamics by demonstrating that the partition function and Loschmidt amplitude of a qubit are analytic continuations of a single function, where their respective zeros and the Cauchy-Riemann equations reveal deep analogies between equilibrium statistical mechanics and non-equilibrium quantum evolution.
This paper presents an effective theory based on classical Hamiltonian dynamics that explains recent experimental observations of quantum coarsening by predicting an initial speeding-up of the process, persistent order-parameter oscillations, and a novel phenomenon called "symmetry re-breaking," where initial fluctuations cause the system to dynamically destroy and subsequently re-establish its long-range order with a potentially reversed magnetization.
This paper proposes a stochastic model of an active tracking particle with information processing to analyze the interplay between activity, stochasticity, and regulation, ultimately deriving optimal control strategies that balance measurement error and energy consumption to guide the design of future smart biological and industrial systems.
This paper investigates Krylov complexity in Schrödinger field theory with positive chemical potential, revealing that the resulting single-sided, truncated Wightman spectrum induces a dynamical transition in Lanczos coefficients that drives a crossover from early-time hyperbolic growth to late-time quadratic complexity growth.
This paper demonstrates that spontaneous symmetry breaking occurs in NLP models like BERT-6 during pre-training and fine-tuning, where individual attention nodes acquire specialized capabilities that, through cooperative scaling, enhance global task performance beyond the sum of their individual parts.
This paper introduces a scalable network design framework based on the fluctuation-response duality of Caliber Force Theory, enabling the systematic tuning of local transition rates to achieve global dynamical objectives in nonequilibrium biological systems like molecular motors.
This paper proposes a continuum QED description with emergent symmetries for the multicritical point in a staggered Fradkin-Shenker model, demonstrating how it connects to the original model and establishing a duality with the easy-plane model that implies a deconfined quantum multicritical point separating a gapped spin liquid from a Néel phase.