272 papers
Through experiments on a colloidal particle in an optical tweezer, the authors demonstrate that simultaneously scaling deterministic forces and adding external noise accelerates the Langevin clock, thereby keeping driven systems closer to thermal equilibrium and enabling more precise free-energy recovery for applications in thermodynamic computing.
This study demonstrates that incorporating magnetic drift into orbit models significantly alters the potential landscape governing ambipolar electric field selection in non-axisymmetric plasmas, offering an explanation for discrepancies between simulations and experiments while highlighting the field's increased susceptibility to noise-induced state transitions.
The paper introduces O-Sensing, a protocol that uses parsimony-driven optimization and spectral entropy maximization to reconstruct the Hamiltonian, interaction geometry, and symmetries of a quantum many-body system directly from a few low-lying eigenstates, even when the underlying connectivity is unknown.
This paper resolves the phase diagram of the pyrochlore spin ice by mapping its monopole-free limit to 3D loop-gas models to classify topological sectors and demonstrate how thermal monopoles round phase transitions into continuous crossovers, a framework validated by classical Monte Carlo simulations.
This paper introduces a one-dimensional Ising model characterized by calcium concentration and myosin-generated force to elucidate the cooperative mechanism of thin filament activation in muscle contraction, successfully validating its predictions against experimental data including the anti-cooperative effects of the drug Omecamtiv Mecarbil.
This Letter demonstrates that the charging performance of periodically driven collective quantum batteries is fundamentally determined by many-body structural features, identifying long-range nonintegrability as a critical resource for achieving fast, scalable, and robust energy storage.
This paper demonstrates that the existing explanation for pushing-induced arrest fails in 3D and proposes a new minimal model where confinement is governed by constant-probability trapping events, enabling the prediction of time-dependent mean-squared displacement across various lattices and dimensions.
This paper challenges the common assumption that Mermin's dielectric function inherently satisfies the f-sum rule by identifying a moment-closure problem, demonstrating that the rule is only satisfied under specific constraints on collision frequencies, and highlighting how slow numerical convergence and imaginary components can lead to apparent or actual violations.
This paper introduces a novel framework for quantum hypothesis testing and semidefinite optimization by interpreting measurement operators as fermionic systems, thereby defining "Fermi-Dirac machines" that utilize parameterized thermal measurements to approximate optimal solutions through hybrid quantum-classical learning algorithms.
This study employs Population Annealing with an adaptive temperature schedule and structure-resolved analysis to robustly map the thermodynamic landscape and quantify free energy differences between competing structural basins in the 38-atom Lennard-Jones cluster.
This study investigates the non-equilibrium dynamics of the disordered Power-of-Two model, revealing that while strong disorder induces localization and unique non-monotonic scrambling signatures, the system ultimately remains ergodic in the thermodynamic limit for any finite disorder strength.
This paper introduces a minimal kinetic model of dissipative hard disks with collision-induced chirality to derive nonlinear hydrodynamic equations and analytically predict odd transport coefficients, such as odd viscosity and thermal conductivity, which are validated by numerical simulations.
This paper reviews a collisional -model for vertically vibrated confined granular fluids, deriving hydrodynamic equations via kinetic theory that predict stable homogeneous states, energy nonequipartition in mixtures, and the violation of Onsager reciprocity, with theoretical results showing strong agreement with numerical simulations.
This paper introduces Constrained Symplectic Quantization, a holomorphic reformulation of symplectic quantization that imposes constraints on intrinsic time Hamiltonian flow to resolve structural limitations and establish exact equivalence with the Feynman path integral, thereby enabling the accurate numerical sampling of real-time quantum observables as demonstrated on the quantum harmonic oscillator.
This paper proposes an annealing-based algorithm that solves partial differential equations by transforming discretized linear systems into generalized eigenvalue problems, enabling efficient computation of eigenvectors to arbitrary precision without increasing the number of variables.
This paper proposes and validates a scheme to estimate the equilibration times of local observables in quantum chaotic systems using Lanczos coefficients, demonstrating that these times are finite and physically realistic even in the thermodynamic limit.
This paper proves that the fast mode dynamics in quantum operator evolution exhibit emergent random matrix universality within the Krylov space recursion method, leading to universal Green's function scaling forms in both chaotic and non-chaotic systems and enabling a new spectral bootstrap technique for approximating spectral functions.
This paper presents a mean-field study of the finite-temperature phase diagram of the disordered Extended Bose-Hubbard model, revealing how thermal fluctuations compete with quantum effects to melt Mott insulator and charge-density-wave phases into normal fluids or Bose glasses, with disorder further suppressing the stability of these insulating states.
The authors develop a Monte Carlo sampling algorithm to numerically evaluate the finite-temperature single-particle Green's function and spectral function for the repulsive Lieb-Liniger model across all interaction strengths and temperatures, including generalized Gibbs ensembles, with results showing excellent agreement against known limits.
This paper presents an analytical model based on elastica theory with contact friction to predict the three distinct sliding modes (Folding, Pinning, and Unfolding) of a naturally curved cylindrical shell entering a rigid hole, offering a validated framework that replaces empirical snap-fit design with a predictive understanding of the interplay between elasticity, geometry, and friction.