858 papers
This paper proposes an exactly solvable 21-state vacuum model derived from a 6-dimensional hypercube Hamiltonian that, without any free parameters, predicts 27 Standard Model observables with high precision and validates its results on IBM quantum hardware while offering two new falsifiable Beyond-the-Standard-Model predictions.
This study evaluates the distribution and radiological hazards of natural radionuclides in Egyptian soil from Zagazig and 10th of Ramadan using gamma-ray spectroscopy, finding that Zagazig samples exhibit approximately double the activity levels of the other city while both remain within international safety limits, with Monte Carlo simulations and Artificial Neural Networks demonstrating excellent agreement with experimental data.
This study demonstrates that a near-infrared graphene–MoS₂ hybrid surface plasmon resonance biosensor achieves high angular sensitivity and distinct reflectivity responses, enabling label-free discrimination of malaria-infected red blood cells at various infection stages based on refractive index variations.
This paper presents a three-dimensional numerical study using the 3Dyn_Granular software to demonstrate that periodic systems of compliant, plastic-deforming soil blocks can effectively dampen surface waves and protect engineering structures from destructive impacts.
This study demonstrates that fabricating hybrid films combining NaGdF4:Er3+/Yb3+/Al3+ upconversion nanoparticles with photonic crystals, silver nanoparticles, and either gold nanorods or single-walled carbon nanotubes enhances photothermal conversion and absolute sensitivity through multiphysics coupling, with the gold nanorod-based composite exhibiting the optimal balance of upconversion luminescence and photothermal performance.
This study investigates the impact of primary, secondary, and tertiary spherical aberrations on asymmetrically apodized circular apertures using scalar Fourier–Bessel theory, revealing that while primary aberration causes the most severe image degradation, the Blackman filter offers the best overall performance by maximizing Strehl ratios and sidelobe suppression, whereas the Connes filter provides superior spatial resolution.
This paper introduces MTP-LES, a machine-learning interatomic potential that integrates latent Ewald summation with rotationally invariant Moment Tensor Potentials to accurately model long-range electrostatics and Born effective charges in polar materials without explicit charge supervision, achieving performance comparable to graph-based baselines with minimal computational overhead.
This study employs a regular perturbation technique under lubrication approximation to analytically investigate how Carreau–Yasuda fluid properties and cilia characteristics influence the flow dynamics, pressure distribution, and heat transfer in a two-dimensional ciliated channel, revealing that the model's shear-thinning behavior significantly modulates trapping-bolus formation and thermal performance compared to simpler fluid models.
This paper introduces the OOD Robust Active Learning (OODR-AL) framework, which efficiently constructs a highly accurate and robust MACE interatomic potential for body-centered cubic iron by systematically sampling extreme non-equilibrium configurations while preserving ground-state thermodynamic fidelity.
This paper presents a numerical study using a two-level rate equation model to demonstrate that while a 20-meter EDFA with 1480 nm forward pumping yields optimum gain, a hybrid pumping scheme outperforms bidirectional configurations for fiber lengths exceeding 15 meters due to superior management of ASE-induced gain saturation, thereby providing practical guidelines for optimizing pre-amplifier EDFA designs.