1558 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 demonstrates that multi-agent AI architectures dominated by three-body spin correlators exhibit a unique triadic phase transition with composite-operator criticality, characterized by specific scaling exponents and a vanishing susceptibility that fundamentally distinguishes them from traditional pairwise network universality classes.
This paper introduces a polynomial-time, closed-form expression for the non-local magic of fermionic Gaussian states based on reduced Majorana covariance matrices, enabling the scalable characterization of magic across various physical regimes and its experimental estimation via fermionic shadow tomography.
This paper investigates dissipative phase transitions in two coupled fully-connected quantum Ising models, demonstrating that while jump operators satisfying detailed balance lead to equilibrium-like steady states and conventional critical behavior, local dissipators generate genuinely nonequilibrium steady states with a richer phase diagram featuring reentrant symmetry-broken phases.
This paper establishes a quantum group-theoretical framework for long-range deformations of homogeneous Yang-Baxter integrable spin chains by demonstrating that these deformations arise from a twist of the underlying algebra, resulting in a non-associative structure with a Drinfeld associator that encodes interaction terms while preserving perturbative integrability through a large associative substructure.
This paper presents a multirate characterization of relaxation mechanisms for two non-equivalent nuclear spins in a liquid, combining conventional measurements with novel techniques using maximally entangled pseudo-pure Bell states to experimentally and theoretically validate microscopic theories, identify unconventional relaxation contributions, and establish a universal ratio for intra-pair magnetic dipolar interactions.
This paper analytically extends the Galam Majority Model to a heterogeneous population by introducing ratio-dependent contrarian activation, deriving a two-dimensional dynamic landscape that reveals how specific contrarian proportions can either preserve the initial majority's victory or force a random fifty-fifty outcome regardless of initial support.
This paper introduces an efficient transformer-based neural sampler that generates groups of spins and utilizes approximated probabilities to overcome computational inefficiencies, enabling the sampling of large two-dimensional Ising and Edwards-Anderson spin systems with significantly improved effective sample sizes compared to previous state-of-the-art methods.
This study extends a geometric model of incomplete solid-state phase transitions to three dimensions, demonstrating that a purely geometric memory effect—where prior transformation history alters subsequent plate-size distributions—is robust across dimensions but significantly stronger in two-dimensional systems than in three-dimensional ones.
This paper establishes a universal, dynamics-independent trade-off relation based on geometric complexity, proving that achieving a zero-error state-reset operation requires divergent resources, thereby providing a unified geometric formulation of the third law of thermodynamics for both classical and quantum systems.
This paper proves that a class of classical lattice models on () exhibits long-range checkerboard order at arbitrarily high temperatures through a purely entropic mechanism, where the ordering is established via Pirogov–Sinai theory and a Peierls bound despite the ordered states not being energy minimizers.