730 papers
This paper presents an unsupervised deep-learning framework based on a U-Net architecture that significantly enhances beam emittance evaluation by denoising low-signal images to reconstruct transverse phase-space distributions and detect beam halos with unprecedented resolution, even under challenging non-Gaussian and noisy operating conditions.
This paper proposes a classical model of elementary particles where distinguishing between the center of mass and the center of interaction leads to a description of spinning particles whose dynamics, when the center of interaction moves at light speed, yield Dirac's equation upon quantization.
This paper demonstrates that spatial symmetry acts as a fundamental physical optimality principle for efficient locomotion in viscous fluids, explaining the prevalence of symmetric swimming gaits in nature through a hydrodynamic duality that proves symmetric strokes yield optimal speeds and efficiencies unattainable by generic non-symmetric strokes.
This paper reveals that interatomic and intermolecular Coulombic decay (ICD), previously thought to be limited to weakly bound systems, can also occur efficiently in atomic and molecular gases despite large inter-unit distances, operating through a distinct mechanism that significantly expands the phenomenon's scope and potential applications.
This paper presents a dynamical model demonstrating that centipedes achieve rapid and efficient undulatory locomotion by actively modulating body stiffness to synchronize leg movements with body curvature, suggesting that complex coordination emerges from embodied physical properties rather than solely from neural computation.
This paper presents a novel high-resolution experimental platform using 3D Lagrangian particle tracking and advanced geometric filtering to reliably measure the sub-Kolmogorov clustering and collision dynamics of inertial micro-droplets in air turbulence, overcoming previous limitations caused by spurious artifacts.
This study combines field measurements and high-resolution WRF simulations to demonstrate that while the model accurately captures the structure of the Bolzano basin's valley-exit wind regardless of the planetary boundary-layer scheme, the scheme's ability to correctly simulate basin temperature stratification is critical for predicting the wind's onset, duration, and surface impact.
This study employs RANS simulations to demonstrate that increasing the inlet Reynolds number in an isothermal swirl combustor significantly intensifies axial velocities and recirculation zones while maintaining a stable inner recirculation zone location, suggesting robust flame anchoring under varying inertial conditions.
This paper reviews the limitations of static urban models and advocates for dynamic, empirically grounded frameworks based on partial differential equations to better capture the complex, non-equilibrium spatial dynamics of urban sprawl driven by population, infrastructure, and market factors.
This paper presents a data reduction method and validates the CSNS in-house Monte Carlo code, Prompt, by demonstrating its ability to accurately reproduce thermal neutron scattering experiments on light and heavy water, including the elimination of inelasticity effects and the analysis of multiple scattering.
This paper introduces Manifold-Adapted Sparse RBF-SINDy, an unsupervised framework that recovers the geometric skeleton of turbulent wall flow dynamics from wall measurements alone by correcting structural biases in library construction through arc-length resampling and Mahalanobis metric clustering, thereby enabling the discovery of distinct dynamical states and the reconstruction of the system's invariant measure.
This paper introduces and compares a new full arc bunch compression scheme against standard four-dipole and five-dipole chicanes, demonstrating that while both the arc and five-dipole methods significantly outperform the standard chicane in reducing emittance dilution and microbunching for hard and soft X-ray FELs, optimal facility design (such as for UK-XFEL) requires the ability to switch between these advanced schemes on a bunch-by-bunch basis.
This study presents a systematic, FEMM-based design and optimization methodology for unified Linear Variable Differential Transformer (LVDT) sensors and Voice Coil (VC) actuators that enhances performance and minimizes heat dissipation under strict geometric and thermal constraints for high-precision applications like gravitational wave detectors, with results validated by experimental measurements.
This study demonstrates that aerofoil shape optimisation for curvilinear blade kinematics is effective only in high-solidity configurations where light dynamic stall allows geometric modifications to suppress leading-edge vortex separation, whereas deep dynamic stall renders such optimisation ineffective due to dominant flow separation.
This paper demonstrates that the transition between weak- and strong-field dynamo regimes in spherical shells is characterized by a breaking of equatorial symmetry, which is triggered by the sudden growth of the magnetic field and subsequently sustains the strong-field branch.
This paper proposes a computationally efficient, sensitivity-free data-driven topology optimization framework that overcomes the limitations of high-information-entropy initialization and expensive simulations by integrating a mesh-independent mutation module and a non-AI rapid identification algorithm to effectively solve strongly nonlinear and non-differentiable engineering design problems.
This paper presents a conceptual design study for a Transverse Deflecting Structure (TDS) at the DALI accelerator facility, detailing its physical principles, engineering considerations, and role in enabling direct longitudinal bunch profile measurements and phase space reconstruction.
This paper demonstrates that a shape-changing microswimmer, guided by reinforcement learning to adapt its aspect ratio based on local flow signals, can robustly maximize its displacement in turbulent environments, outperforming fixed-shape strategies and revealing a physically interpretable control paradigm for navigation in complex flows.
This paper demonstrates a novel "tuning-by-opening" mechanism for a NbSn superconducting microwave cavity that achieves continuous frequency tuning exceeding 1 GHz while maintaining a high quality factor suitable for dark matter searches, all without inserting elements into the resonant volume.
This paper presents beam test results at CERN demonstrating that high-pixel-density SiPMs coupled to BGO and BSO crystals exhibit significant non-linear responses, with deviations reaching approximately 20% at high photoelectron yields, thereby characterizing their performance limits for future high-granularity electromagnetic calorimeters.