797 papers
This paper derives Navier-Stokes hydrodynamic equations and calculates transport coefficients for confined, quasi-two-dimensional mixtures of inelastic hard spheres at moderate densities using the revised Enskog theory, applying the results to analyze thermal diffusion-driven segregation.
This paper argues that the computational speedup of quantum algorithms stems from their teleological nature as goal-directed evolutions, a physical principle that, under specific cosmological assumptions, also explains the teleological character of biological evolution.
This study demonstrates through simulations and *ab initio* calculations that stacking two-dimensional van der Waals materials can induce a robust, high-temperature inter-layer s-wave superconductivity driven by a strong-coupling Kohn-Luttinger mechanism, where pairing attraction scales linearly with inter-layer repulsion rather than quadratically.
This paper introduces a gradient-based optimization method using straight-through Gumbel-Softmax estimation to enable efficient parameter inference and inverse design in exact stochastic kinetic models by approximating gradients through continuous relaxation while preserving discrete stochastic dynamics in the forward pass.
This paper introduces a unified variational framework that extends Configuration Interaction Singles (CIS) through orbital optimization, linear-response corrections, and spin-projection techniques to systematically improve the description of both ground and excited states, particularly in strongly correlated systems and bond dissociation scenarios.
This paper introduces a new black hole solution sourced by a string fluid with integrable singularities and establishes general junction conditions for matching such interior regions to exterior geometries, demonstrating that these conditions ensure temperature continuity while pressure discontinuities signal phase transitions.
This pedagogical paper calculates the essential ingredients, including irreducible representations, lasso maps, and a 22-by-22 modular S matrix, to enable a modular conformal bootstrap analysis of non-rational Virasoro CFTs with categorical symmetry, while highlighting the unique features arising from non-invertible symmetries.
LatentChem introduces a latent reasoning interface that decouples chemical computation from textual generation, enabling models to perform multi-step reasoning in continuous latent space which spontaneously emerges as a more efficient and accurate alternative to explicit Chain-of-Thought, achieving a 59.88% win rate and 10.84 speedup over baselines.
This paper introduces a deflation technique that modifies the objective function to penalize previously found solutions, enabling the efficient discovery of multiple distinct, high-quality stellarator equilibria and coil designs from a single initial guess without relying on prescient starting points.
This paper introduces Topology-Aware PINNs (TAPINN), a novel framework that employs supervised metric regularization and alternating optimization to effectively resolve spectral bias and mode collapse in multi-regime physics-informed neural networks, achieving superior convergence stability and accuracy compared to standard and hypernetwork-based baselines.
This paper empirically demonstrates that while Kolmogorov-Arnold Networks (KANs) can compete with MLPs on simple univariate residuals in hard-constrained recurrent physics-informed architectures, they suffer from severe hyperparameter fragility, instability in deeper configurations, and consistent failure on multiplicative terms, ultimately revealing limitations in their additive inductive bias for modeling state coupling in oscillatory systems.
Inelastic neutron scattering on NaIrO reveals a 1.7 meV magnon gap and antiferromagnetic Heisenberg interactions, distinguishing its magnetic excitations from those in the sister compound -RuCl and demonstrating that low-energy ferromagnetic fluctuations are not a universal fingerprint of Kitaev physics.
This paper investigates the algebraic structure of fuzzy sphere models for 3d CFTs by verifying the Jacobi identity of their density operators, analyzing their behavior in distinct thermodynamic limits, and constructing an explicit conformal algebra representation that reveals a structural mismatch with the thermodynamic limit of critical systems.
This paper introduces a novel Geometric Structure-Preserving Interpolation (-SPIN) method that utilizes geodesic elements and a projection-based relaxation of rotation-deformation coupling to achieve stable, locking-free finite-strain Cosserat micropolar elasticity simulations, particularly in the asymptotic couple-stress limit.
This paper challenges the notion of universal monotonic entropy increase by demonstrating that time-reversal invariance necessitates a constant entropy trajectory, proposing instead that entropy is a stochastic variable whose distribution is fundamentally reshaped by constraints and boundary conditions rather than by an intrinsic directional drive.
This paper presents a compact, low-cost diagnostic for pulsed D-T fusion systems that utilizes an undoped fused-silica rod to detect short-lived radioactive isotopes via Cherenkov radiation, enabling rapid, pulse-to-pulse neutron yield measurements validated against existing detectors and currently deployed on Helion Energy's Polaris prototype.
This paper presents the first experimental measurement of the strong interaction scattering parameters for the and systems using femtoscopic correlation functions from Pb--Pb collisions at TeV recorded by ALICE, providing crucial benchmarks for low-energy chiral QCD dynamics.
This paper introduces and validates two new structure-preserving discontinuous Galerkin methods, SWIPD-L and SIPGD-L, for the Cahn-Hilliard-Navier-Stokes equations with degenerate mobility, demonstrating that they achieve optimal convergence, preserve key physical properties like mass conservation and energy dissipation, and offer significant computational savings on adaptive meshes compared to existing approaches.
This paper demonstrates that in dense active-passive mixtures, increasing the persistence of active dopants triggers a transition from homogeneous fluidization to a localized mechanical instability, where stress accumulation nucleates voids and drives a distinct nonequilibrium localization mechanism reminiscent of crowd dynamics.
This paper introduces "phase variance," a data-driven, frequency-dependent quality-control attribute based on circular statistics that quantifies localized phase dispersion in seismic data without requiring phase unwrapping or global wavelet models, thereby enabling automated assessment of phase reliability to support advanced workflows like AVO and full-waveform inversion.