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.
This paper proposes a NISQ-compatible, parameterized 4-qubit EWL quantum game circuit that integrates real-world funding data from the CORDIS database with a Dirac-Solow-Swan Hamiltonian to model and forecast disruptive innovation trajectories within quadruple helix ecosystems.
This paper develops a systematic perturbation theory for the Helmholtz free energy of classical -body systems within a mesoscopic framework, deriving an exact formula that relates the full free energy to a factorized mesoscopic partition function corrected by inter-cell mutual information terms to account for non-extensivity and recover established results like the van der Waals equation.
This paper develops a microscopic theory demonstrating that thermal fluctuations in a classical one-component plasma generate a random potential with an unscreened tail, leading to disorder-induced quantum localization characterized by a length scale that explicitly depends on the Coulomb logarithm, thereby bridging quantum localization phenomena with classical plasma kinetic theory.
This paper extends the theory of disorder-induced localization for a quantum particle in a classical one-component plasma to the dynamic regime, revealing that while fast particles recover static scaling, ultra-slow particles avoid exponential localization due to temporal decorrelation, resulting in a distinct velocity-dependent scaling of the localization length.
This paper investigates a generalized two-dimensional site percolation model with energy-weighted bonds, demonstrating through Monte Carlo simulations and real-space renormalization-group methods that varying the bond energy continuously interpolates between distinct regimes of cluster connectivity, systematically shifts the percolation threshold, and alters critical exponents in agreement with Coulomb-gas predictions.
This paper reviews recent advancements in calculating pair correlation functions for broken symmetry phases to formulate an exact classical density functional theory, demonstrating its accuracy in describing phase transitions and ordering in molecular systems through comparisons with simulations.
This study demonstrates that a university extension activity involving undergraduate physics students designing and presenting low-cost didactic experiments in a public space effectively bridges the gap between academia and society by enhancing student learning, developing communication skills, and fostering scientific curiosity among the community.
This paper derives a universal relation linking the transverse coherence length of an electron beam to the single-particle localization length in Coulomb-disordered media, revealing distinct energy dependences for static and dynamic plasmas and highlighting the significant impact of disorder-induced phase decorrelation on high-resolution electron microscopy.
This paper establishes necessary topological constraints on graph structures that enable or prevent long-range order in locally interacting systems, demonstrating how interaction combinatorics dictate the capacity for self-organization and explaining the superior pattern-forming abilities of biological multiscale systems compared to rudimentary language models.
This paper introduces the projected process ensemble as a unified framework for diagnosing quantum chaos in many-body systems, demonstrating that its higher moments reveal characteristic entanglement structures that more sharply distinguish chaotic from integrable dynamics than previously studied chaos quantifiers.