1592 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 investigates the weak-coupling limit of the lattice nonlinear Schrödinger integral equation by employing matched asymptotic expansions to derive the ground-state energy and density, revealing a logarithmic divergence linked to the Bose-Einstein distribution and uncovering a resurgent transseries structure through Wiener-Hopf analysis.
This paper reports the first experimental observation of a macroscopic continuous spacetime crystal formed by active granular disks, revealing a unique three-stage melting process where spatial and temporal orders decay via distinct mechanisms, thereby demonstrating the decoupling of spontaneous symmetry breaking in space and time.
This paper demonstrates that by actively controlling the time-dependent coupling between a transmon qubit and its dissipative environment to reverse detrimental polaron formation, it is possible to achieve rapid, high-fidelity qubit reset in non-Markovian systems.
This paper demonstrates that numerically optimized time-dependent driving can overcome the fidelity limitations of qubit reset caused by polaron formation beyond the Born-Markov approximation by actively steering system-environment correlations, even in realistic multilevel transmon systems with filtered environments.
This paper presents a landscape-agnostic study of rare dynamical events in mean-field disordered systems that reveals a rich diversity of instanton structures beyond classical nucleation theory, thereby identifying the point of irreversibility and clarifying the landscape features governing activated relaxation in the RFOT universality class.
This study combines variational analysis and molecular dynamics simulations to map the ground-state phase diagram of two-dimensional core-softened particles, revealing a rich landscape of cluster lattices, Bravais structures, and frustration-induced quasicrystals driven by competing length scales.
This paper establishes a unified formalism for the symmetric and antisymmetric components of integrated covariances in nonequilibrium steady states, expressing them via excess observables and deriving thermodynamic bounds that link antisymmetric fluctuations and self-averaging speedups to entropy production and cycle affinities.
This paper presents and experimentally validates an efficient protocol that utilizes classical shadows from local randomized measurements to learn the matrix-product operator representation of large-scale mixed quantum states, successfully demonstrated on a superconducting processor with up to 96 qubits.
This paper proposes a simple yet reliable analytical framework based on a compounding formula and tension propagation to characterize the non-Markovian, out-of-equilibrium transient and steady-state dynamics of active polymers driven by persistent noise, with anticipated applications to various spatially extended systems.
This paper reviews various physical models, ranging from discrete to continuum approaches, used to understand the mechanics and coordination of embryonic epithelial wound healing, while highlighting the trade-offs between complexity and interpretability and proposing future directions for hybrid modeling and experimental integration.