2377 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 a dissipation-aware branching-process framework to analyze sandpile models on complex networks, revealing that while dissipation induces exponential cutoffs, network features like clustering and sparse tree-like structures significantly alter avalanche scaling and invalidate classical independent-branch approximations.
This paper demonstrates that an N-qubit Heisenberg chain with collective dissipation supports robust, undamped modes for any chain length , revealing long-lived coherent dynamics through Bethe ansatz analysis.
This paper demonstrates that universal diversity scaling laws observed across diverse complex systems, from genomes to large language models, can arise from either specific innovation-driven growth mechanisms or latent heterogeneity via general statistical principles, indicating that these macroscopic patterns constrain but do not uniquely identify the underlying generative processes.
This paper investigates pressure-driven Poiseuille flow of a one-component fluid in liquid-gas coexistence, revealing that the pressure drop is concentrated across the interface and the particle current is significantly suppressed due to extremely small dimensionless parameters arising from microscopic-to-macroscopic length ratios.
This paper proposes a molecularly interpretable alternative to empirical fitting for analyzing the bulk electrochemical impedance of concentrated electrolytes by utilizing an itinerant oscillator model and generalized Langevin equation to extract frequency-dependent conductivity moments and reveal the critical role of timescale separation in temperature-dependent -relaxation processes.
This paper establishes a comprehensive analysis of a general Rosenzweig-Porter model () by proving uniform localization properties and ETH validity across all coupling strengths, thereby generalizing previous deformed Wigner matrix results and revealing the emergence of mobility edges and re-entrant localization.
This paper introduces the bilinear phase map (BPM) as a generalized framework for Kramers-Wannier duality in qudit spin chains, enabling the exploration of nonunitary dualities, the derivation of noninvertible fusion rules, and the establishment of microscopic anomaly classifications for a broad class of lattice models.
By employing novel machine-learning tracking and higher-order correlation functions to precisely map experimental state points, this study resolves a long-standing discrepancy between experiment and simulation in hard sphere systems by demonstrating that the free-energy barriers of pre-critical nuclei agree with computer simulations, thereby validating rare event sampling techniques.
This study validates the reliability of the phenomenological renormalization group (PRG) method for detecting genuine criticality in neuronal data by demonstrating that it yields consistent results only within a narrow vicinity of the critical point and by introducing a data-driven adaptive binning procedure to mitigate the substantial influence of time-binning choices.
Using a superconducting quantum processor with high-fidelity mid-circuit measurements and low-latency feedback, researchers experimentally demonstrated the coexistence of two distinct non-equilibrium phase transitions: a measurement-induced entanglement transition in individual quantum trajectories and an absorbing-state transition in the averaged quantum channel that belongs to the directed percolation universality class.