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 generalizes the concept of partial ordering to multi-field control systems, demonstrating that applying sequences of multiple fields to a zero-temperature Ising model enables precise return-point memory where the system returns to its exact previous microstate, thereby offering new insights into how physical systems can learn and be trained.
This paper presents a dynamic density-functional theory approach to derive thermodynamically consistent thin-film equations for surfactant-laden liquid films that account for the polar, uniaxial shape of surfactant molecules, revealing a novel generalization of surface tension dependent on both surfactant concentration and polarization.
This paper investigates the maximum likelihood decoding of the surface code under unitary errors by mapping it to a (1+1)D transfer matrix contraction, revealing a distinct phase where ferromagnetic order coexists with volume-law entanglement, rendering the encoded information theoretically retained but effectively undecodable.
This paper extends the Complexity=Volume (CV) conjecture to two-mode Hermitian systems by demonstrating that the Krylov complexity of both closed and open quantum states exactly matches the volume of the Fubini-Study metric, thereby establishing a direct link between operator growth and information geometry.
This paper introduces a novel "crosscap quench" protocol to investigate the relaxation of highly structured thermal pure states into typical ones, deriving universal entanglement entropy features in conformal field theories and holographic models while validating these findings through numerical simulations of both integrable and nonintegrable quantum spin systems.
This paper establishes a generalized optimal transport theory for dissipative long-range bosonic systems, revealing that while one-body and multi-body losses fundamentally alter maximal transport speeds and distances, the presence of even minimal gain or decoherence-free subspaces can enable long-distance, perfect particle transport, with derived bounds on transport probability guiding future experimental protocols.
This paper investigates the topological and dynamical properties of the Su-Schrieffer-Heeger model driven by sequences of two unitaries under periodic, quasiperiodic, aperiodic, and random protocols, revealing discrepancies between end mode counts and winding numbers in periodic drives, and characterizing the distinct Loschmidt echo behaviors—ranging from long-lived oscillations to rapid decay—across different driving sequences.
The paper introduces MetaDNS, a framework that integrates well-tempered metadynamics into discrete neural samplers to overcome mode collapse and enable efficient exploration of high-energy barriers for accurate free energy estimation in complex discrete distributions.
This paper demonstrates that monitoring particle losses at a single site in a quantum point contact fundamentally alters entanglement dynamics, inducing a transient linear growth with volume-law scaling driven by an emergent bias voltage before eventual decay, a phenomenon captured by a quasiparticle picture and relevant to experimental platforms like ultracold atoms.
This paper proposes a new time-dependent non-equilibrium representation of the Schrödinger algebra to predict scaling functions for single-time and two-time correlators in systems with dynamical exponent , and validates these predictions through tests on several exactly solvable ageing models.