726 papers
This paper presents CTPX1, a highly integrated, data-driven camera system based on the Timepix4 ASIC that achieves a peak readout rate of 1.17 Ghits/s and stable thermal performance, successfully addressing the saturation challenges of next-generation high-flux neutron imaging instruments like ERNI at the upgraded CSNS-II.
This paper presents a robust, GEMM-based direct solver for finite-difference Poisson problems on non-uniform 3D Cartesian grids that leverages tensor formulations and matrix-matrix multiplications to achieve superior time-to-solution and parallel efficiency compared to traditional multigrid and FFT-based methods on modern heterogeneous hardware.
This paper presents the development of a compact, high-performance readout electronics system based on the Timepix4 chip and a single ZYNQ-MPSOC, designed to meet the high event-rate demands of the Phase II Chinese Spallation Neutron Source by achieving stable 5.12 Gbps data transmission and demonstrating successful X-ray imaging capabilities.
This paper presents experiments and a parameter-free theoretical model that explain the self-regulating dynamics of solids melting while sliding down heated inclines, successfully predicting terminal velocities across diverse materials and conditions.
This study establishes a high-fidelity finite-element model of the Chang'e-7 lander to demonstrate that extreme lunar south-pole thermal cycles, primarily affecting solar array stiffness, cause significant drift in the lander's fundamental resonance frequency (0.64–0.87 Hz), which critically overlaps with the seismic observation window and necessitates specific noise filtering strategies for accurate interior probing.
This paper demonstrates that combining highly accurate machine-learned potentials with the quantum thermal bath method provides a computationally efficient and reliable approach for simulating the infrared spectra of protonated water clusters, offering a cost-effective alternative to traditional quantum dynamics techniques.
This study utilizes volume of fluid simulations to investigate droplet impact on random hydrophobic surfaces, revealing that while maximum spreading decreases linearly with increasing roughness and contact time remains constant, the interplay between Weber number and surface roughness governs wetting-bouncing transitions and delays bouncing with larger roughness.
This study utilizes three-dimensional lattice Boltzmann simulations and scaling analyses to investigate droplet impact on superhydrophobic surfaces under shear airflow, revealing how aerodynamic forces enhance spreading and deflection while establishing refined scaling laws to predict the resulting contact footprint and rebound characteristics.
This paper proposes a two-dimensional multi-phase-field model based on Puck failure theory and a mesh overlay method to accurately predict and simulate various in-plane damage modes in fiber-reinforced composite laminates, demonstrating strong agreement with experimental results across multiple benchmark loading scenarios.
This paper systematically investigates the propagation and collisional absorption of normally incident laser light in strongly magnetized inhomogeneous plasma, revealing that while left-hand circularly polarized waves reflect at cutoff with enhanced absorption at higher magnetic fields, right-hand polarized waves can transition into whistler modes above a critical frequency to penetrate and deposit energy deep within overdense plasma.
Using gyrokinetic simulations with the ORB5 code, this study demonstrates that global zonal structures in the geodesic acoustic mode frequency range are non-linearly generated by the high-n component of turbulence in TCV and ASDEX Upgrade magnetic configurations, a mechanism confirmed by isolating the effect via antenna-driven turbulence modes.
This paper presents an analytic model demonstrating that ablation-driven field compression in magnetized inertial confinement fusion creates a radially bent field at the hotspot edge that negates thermal insulation benefits, while showing that an initially applied mirror field configuration yields superior performance compared to standard axial fields.
This paper presents a comprehensive analysis and the first open-source implementation of phase-shifting dealiasing methods for pseudo-spectral simulations of incompressible Navier-Stokes equations, demonstrating that these techniques can achieve up to a threefold speedup over standard 2/3 truncation with minimal accuracy loss.
This paper extends a pressure-gradient sensor from RANS to the IDDES turbulence model to improve boundary-layer separation prediction by reducing eddy viscosity and disabling the elevation term in adverse pressure-gradient regions, resulting in enhanced accuracy for stall onset and post-stall regimes across various airfoils without compromising attached-flow performance.
This study demonstrates the feasibility of using an interleaved 7T multinuclear MRS protocol to simultaneously track brain glucose levels and high-energy phosphate metabolism, revealing that both metrics significantly increase in response to experimentally induced hyperglycemia in healthy adults.
This paper presents a comprehensive analysis of experimental uncertainties and necessary data corrections for cryogenic Rayleigh-Benard convection experiments in Brno, emphasizing the critical need for rigorous uncertainty quantification to distinguish between genuine transitions to the ultimate turbulent regime and artifacts caused by non-Oberbeck-Boussinesq effects or experimental imperfections.
This paper presents the first in-beam demonstration that chemically hyperpolarized materials produced via the SABRE method serve as viable, radiation-resistant targets and detector media for nuclear and particle physics, offering a cost-effective alternative to traditional cryogenic spin-polarized targets without suffering depolarization under intense radiation.
This study utilizes high-speed imaging to demonstrate that single-winged spinning samaras exhibit significant temporal variations in their kinematic parameters, challenging the traditional assumption of steady-state flight and providing a physically grounded basis for reformulating aerodynamic models with experimentally validated harmonic representations.
This paper develops a thermodynamic framework for asymptotic inference that maps statistical concepts like Shannon information and parameter variance to thermodynamic entropy and state variables, revealing fundamental limits on information gain and unifying ensemble and inferential physics as opposing shadow processes.
This paper demonstrates that wave-like spatial statistics in walking-droplet quantum analogs can be generically explained by the low-dimensional nonlinear dynamics of inertial active particles with internal degrees of freedom, rather than requiring nonlocal wave effects.