2356 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 parameter-free "inscribed circle modification" to the solid-angle-based nearest-neighbor (SANN) algorithm, effectively resolving its tendency to overcount neighbors in low-coordination systems while maintaining computational efficiency and robustness across various crystalline and heterogeneous structures.
This study investigates the spin-1/2 Heisenberg octahedral chain using variational, localized-magnon, and exact diagonalization methods to rigorously identify two distinct fragmented bound-magnon phases that explain intermediate magnetization plateaus and specific heat anomalies, ultimately demonstrating the system's high potential for efficient magnetocaloric refrigeration.
This paper develops a kinetic theory for generalized multi-species Vicsek models that successfully predicts diverse collective states and pattern formation scales through linear stability analysis, demonstrating strong agreement with microscopic simulations for both binary and cyclic interaction systems.
This study demonstrates that point-like defects significantly stabilize square-triangle quasicrystals in soft-matter systems by generating substantial configurational entropy through their combinatorial mixing, thereby explaining the high defect concentrations observed in these materials.
This paper investigates the magnetic deformation of the (2+1)d Ising CFT on a spatial sphere by comparing Fuzzy Sphere simulations with the Truncated Conformal Space Approach to extract universal infinite-volume quantities and provide evidence for a bound state with small binding energy.
This paper introduces a new family of Floquet codes based on the Majorana XYZ subsystem model that supports both local qubit and microscopic Majorana realizations, where the logical dynamics of encoded qubits can be tuned between static and partially dynamical forms by adjusting the measurement cycle schedule and lattice parity.
This paper demonstrates that in disordered Ising systems, the temperature at which independent learners achieve maximum consensus on effective couplings differs from the temperature yielding the most faithful physical description due to a misspecification bias, with the consensus width minimized near the pseudocritical point through a distinct interplay between finite-sampling fluctuations and higher-order disorder-induced response covariances.
This paper establishes a microscopic lattice foundation for timelike entanglement in quantum field theory by extending Gaussian diagonalization to non-Hermitian spacetime density matrices, thereby determining their complete spectrum and validating the identification of Rényi moments with Lorentzian branch-point twist-operator correlation functions across various causal regimes and boundary conditions.
This paper introduces a universal neural variational framework based on an encoder-decoder Transformer architecture that amortizes inference across disorder ensembles, enabling efficient sampling of frustrated spin systems like the Edwards-Anderson model without requiring per-instance equilibration or retraining.
This paper demonstrates that non-orientable domains fundamentally alter the statistical properties of passive and active orientational systems by eliminating global rotational soft modes and inducing topological caging, which restricts orientational fluctuations to finite values and enforces unique coexisting ordered states absent on orientable surfaces.