2407 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 study demonstrates that liquid-state structural asymmetry, where cations with higher valence form locally crystal-compatible coordination environments more readily than lower-valence ones, governs species-selective incorporation and compositional heterogeneity during the crystallization of multicomponent systems like AgPbBiTe.
This review article synthesizes the multifractal characteristics of the non-Hermitian skin effect across single-particle, many-body, and tree models, highlighting the unique multifractality and ergodic properties of the many-body skin effect and providing an analytically solvable Cayley tree model to describe these phenomena.
This paper presents an analytical and numerical investigation of the Transient Time Correlation Function (TTCF) method to establish a framework for computing nonlinear response functions in a broad class of nonequilibrium systems, particularly those with unknown invariant measures where traditional linear theories are insufficient.
This study demonstrates that while Dzyaloshinskii--Moriya interactions preserve spectral symmetry and yield symmetric caloric responses in Heisenberg-Kitaev magnon systems, the bond-dependent Kitaev exchange induces asymmetric density of states that enables distinct direct and inverse caloric effects, ultimately allowing Kitaev-driven Stirling cycles to achieve significantly higher efficiencies than their DM-driven counterparts.
This paper argues that the Many-Body Localization transition in the random-field XXZ chain is governed by a two-parameter, Berezinskii-Kosterlitz-Thouless-like flow with a line of fixed points rather than the previously assumed one-parameter scaling and isolated Wilson-Fisher fixed point.
This paper extends the Markov chain tree theorem to the parallel mutation-reproduction model by introducing rooted 0/1 loop forests, thereby deriving exact diagrammatic expressions for the steady-state distribution and static responses of mean fitness in population dynamics.
This paper formally establishes that the Quantum Approximate Optimization Algorithm (QAOA) and Quantum Annealing (QA) are equivalent cooling protocols that simulate partition functions, demonstrating that their optimization angles converge to universal trajectories where errors behave as thermal excitations with a target temperature that scales inversely with the invested computational resources.
This paper demonstrates that volume-law entanglement can be generated in a one-dimensional fermionic system without intrinsic unitary dynamics by employing a non-random, non-commuting local measurement protocol involving an auxiliary chain and detector qubits, while also showing that non-local higher-body measurements can be used to control and reduce such entanglement.
This paper investigates a hybrid model coupling Sachdev-Ye-Kitaev (SYK) Majorana fermions to a disordered quantum -spin bosonic system, revealing that the boson-fermion interaction stabilizes the quantum spin-glass phase with slowed dynamics while suppressing critical SYK behavior in the paramagnetic phase.
This paper introduces the FIRE-Swap first-principles framework, which utilizes machine-learning interatomic potentials to reveal that lead magnesium niobate (PMN) possesses a unique rock-salt-like chemical order and interconnected polar nanoregions within Nb clusters, providing a mesoscale explanation for its relaxor ferroelectricity that distinguishes it from PZT and PST.