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 higher-order modeling framework for face-to-face interactions where agents form groups of varying sizes based on social attractiveness, successfully replicating complex group dynamics and homophilic patterns that traditional dyadic models fail to capture.
This paper presents efficient, noise-averaging-free protocols for measuring second Rényi entropy (purity) in quantum many-body systems using an echo-type forward-backward evolution sequence, demonstrating their practical feasibility on superconducting qubit and cavity-QED platforms.
This paper introduces a new ensemble of quantum states that function as -approximate state -designs with theoretically minimal entanglement, magic, and coherence, and provides an efficient ancilla-free shallow quantum circuit to generate them, thereby enabling cost-effective classical simulation and highly efficient quantum state certification.
This paper develops a comprehensive replica Keldysh field theory to unify the description of measurement-induced phase transitions in both efficient and inefficient quantum-jump processes, demonstrating through analytical and numerical studies of imbalanced fermion counting that inefficient detection introduces a finite correlation length leading to distinct area-law and volume-law scaling behaviors in entanglement and subsystem entropy.
This paper employs a time-dependent Sisyphus random climb model to quantitatively describe cognitive fatigue in repetitive monotonous tasks, demonstrating that the specific time-evolution of one-operation success probability determines whether workers eventually complete their tasks or if a fraction fails indefinitely due to the vigilance decrement.
This paper presents a generic algorithm to decompose the transfer-matrix space of classical 2d lattice models with Temperley-Lieb face interactions into simple modules, enabling the analysis of topological operator actions and the computation of modular transformations for irreducible characters at primitive roots of unity.
This paper demonstrates that periodically modulating the coupling between a polaron and its quantum bath can induce self-propulsion by generating a negative drag force at low velocities, a phenomenon that remains robust in the quantum regime but can be suppressed by precise position measurements.
Using the nonperturbative functional renormalization group, this paper demonstrates that the critical dynamics of the quantum random-field Ising model are controlled by the zero-temperature static fixed point, yielding an activated relaxation behavior with a specific exponent determined by static critical exponents and the dynamical kernel's frequency dependence, thereby resolving apparent localization singularities and providing a quantitative field-theoretic framework for disordered quantum systems.
This paper presents a theoretical framework and numerical validation for three-dimensional active Brownian motion under a uniform magnetic field, revealing how the interplay between self-propulsion, rotational noise, and field alignment drives a transition from non-Gaussian intermediate dynamics to long-time behavior characterized by either enhanced diffusion or permanent drift, thereby offering a mechanism to optimize search and delivery in active matter systems.
This paper demonstrates that the space-like singularities appearing in certain time-dependent backgrounds of two-dimensional string theory are artifacts of the strict double scaling limit, as a full matrix model treatment with non-linear terms reveals that the system undergoes a quantum quench leading to a stable, power-law relaxation to a time-independent equilibrium state rather than a true singularity.