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A complete numerical analysis of the impact of disorder and defect cavities on achieving complete optical absorption in monolayer graphene with supporting random structures
In this paper, we theoretically investigate the influence of randomness in layer thickness and half-wave defect cavities on terahertz (THz)...
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Lyapunov Exponent and the Growth Rate of Geodesic Deviation in the Jacobi Equation with Random Curvature
AbstractThe growth rate of geodesic deviation in a homogeneous and isotropic on average cosmological model, in which curvature fluctuations are taken...
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Plane and Axisymmetric Bodies in a Flow with the Greatest “Critical” Mach Number
AbstractWe construct two-dimensional (plane and axisymmetric) bodies in a flow of an ideal (inviscid and non-heat-conducting) gas with the greatest...
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Beyond lepton number violation at the HL-LHC: resolving heavy neutrino-antineutrino oscillations
Collider testable low-scale seesaw models predict pseudo-Dirac heavy neutrinos, that can produce an oscillating pattern of lepton number conserving...
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Bit-level image encryption algorithm based on random-time S-Box substitution
To solve the shortcomings of traditional cryptography such as 3DES, AES and SM4 in encrypting multimedia information, we proposed a bit-level image...
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Random Numbers
As Monte Carlo is a statistical method, the accuracy of its results depends on the number of simulated electron trajectories and on the pseudo-random...
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EXPERIMENTAL STUDY OF EVOLUTION OF CONTROLLED PERTURBATIONS IN A LONGITUDINAL VORTEX GENERATED IN A BOUNDARY LAYER ON A FLAT PLATE AT A MACH NUMBER M = 2
AbstractResults of experimental studies are applied to compare the spatiotemporal amplitude distributions of controlled fluctuations in a linear and...
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Study of the Method for Verification of the Hypothesis on Independence of Two-Dimensional Random Quantities Using a Nonparametric Classifier
AbstractThe properties of the method for verification of the hypothesis on independence of random quantities based on the application of a...
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Random matrix theory for complexity growth and black hole interiors
We study a precise and computationally tractable notion of operator complexity in holographic quantum theories, including the ensemble dual of...
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A new chaotic oscillator containing generalised memristor, single op-amp and RLC with chaos suppression and an application for the random number generation
In this paper, a new chaotic oscillator consists of a single op-amp, two capacitors, one resistor, one inductor, and memristive diode bridge...
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Determination of Probabilistic Characteristics of Random Values of Estimates of the Lyapunov Function for Description of a Physical Process
Application of the Lyapunov characteristic function is determined by the means for estimating it. The probabilistic characteristics of estimates of...
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A Very Large Eddy Simulation Model Using a Reductionist Inlet Turbulence Generator and Wall Modeling for Stable Atmospheric Boundary Layers
Abstract —Despite many advances in numerical simulation of stable boundary layers (SBL), most of the models developed are complex and computationally...
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Negativity of Lyapunov Exponents and Convergence of Generic Random Polynomial Dynamical Systems and Random Relaxed Newton’s Methods
We investigate i.i.d. random complex dynamical systems generated by probability measures on finite unions of the loci of holomorphic families of...
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Experimental investigation of boundary layer transition on a swept flat plate under variable Reynolds number
Abstract —The experimental study on the transition process of a boundary layer on a 45° swept flat plate is performed in the Mach 6.0 hypersonic...
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Quantum speedup of Monte Carlo integration with respect to the number of dimensions and its application to finance
Monte Carlo integration using quantum computers has been widely investigated, including applications to concrete problems. It is known that quantum...
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A hybrid quantum-classical generative adversarial networks algorithm based on inherited layerwise learning with circle-connectivity circuit
Quantum generative adversarial networks (QGANs) have a potential exponential advantage over classical GANs, which has attracted widespread attention....
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