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 establishes a tenfold classification of symmetry and topology for monitored free fermions by analyzing Kraus operators and their effective non-Hermitian generators, thereby elucidating the role of topology in measurement-induced phase transitions and demonstrating a bulk-boundary correspondence where nontrivial spacetime topology leads to protected dynamical slowdowns and gapless boundary states.
This paper establishes universal fluctuation relations and a Thermodynamic Uncertainty Relation for non-Abelian quantum transport, demonstrating how the non-commutativity of conserved charges can lead to apparent second-law violations, enhanced current precision, and current inversion against affinity biases.
This paper demonstrates that rotating the boundary of bilayer graphene cavities relative to the underlying lattice induces a quantum transition from integrable to chaotic dynamics, a phenomenon confirmed through both full quantum analysis and semiclassical ray dynamics.
By numerically studying a one-dimensional Hamiltonian-Potts model with fractional spatial derivatives under steady heat conduction, this paper demonstrates that a stationary interface between coexisting phases exhibits a temperature deviation from equilibrium values, thereby confirming the violation of local equilibrium and the stabilization of metastable states in nonequilibrium first-order phase transitions.
This paper predicts that cyclic interaction changes in an integrable one-dimensional Bose gas drive the system into a novel critical phase characterized by fractional Fermi seas with reduced occupancy, exhibiting correlation signatures distinct from conventional Tomonaga-Luttinger liquids.
This paper introduces Boltzmann attention, an energy-based mechanism that augments standard attention with learnable pairwise couplings modeled as an Ising system to explicitly capture cooperative and antagonistic inter-position dependencies, demonstrating improved performance in sequence modeling tasks and offering a pathway for quantum annealing-based training.
This paper demonstrates that in heavy local quenches within two-dimensional holographic conformal field theories, the time evolution of genuine tripartite entanglement is kinematically fixed by global saddle selection and winding mismatches in the bulk geometry, rather than by local energy responses or quasiparticle propagation.
Using an exact solution of the Ising model on a decorated square lattice with arbitrary decorating spins, the authors demonstrate that competing exchange interactions can induce complex magnetic reentrancy, enabling systems to exhibit one, three, or even five magnetic phase transitions under specific parameter conditions.
This paper demonstrates that proofreading can simultaneously enhance both speed and accuracy in stochastic processes with long-lived stalled states, provided that the fluctuations in stall durations exceed a specific threshold determined by the system's intrinsic error rate.
This paper rigorously proves the existence of long-range order in the chirally charged fermion-mass bilinear for a class of two-dimensional Euclidean lattice Gross-Neveu models with even flavor numbers by utilizing reflection positivity, chessboard estimates, and Peierls-type arguments to establish a non-perturbative connection between the lattice theory and large- mean-field predictions across various discretizations.