Results 41 to 50 of about 1,947 (192)

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

open access: yesAdvanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe   +4 more
wiley   +1 more source

Asymptotics of multiple orthogonal polynomials associated with the modified Bessel functions of the first kind

open access: yesJournal of Computational and Applied Mathematics, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Coussement, Els, Van Assche, Walter
openaire   +1 more source

Recent Advances in Programmable Metasurfaces and Meta‐Devices

open access: yesAdvanced Electronic Materials, EarlyView.
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao   +4 more
wiley   +1 more source

Some special functions and cylindrical diffusion equation on α-time scale

open access: yesDemonstratio Mathematica
This article is dedicated to present various concepts on α\alpha -time scale, including power series, Taylor series, binomial series, exponential function, gamma function, and Bessel functions of the first kind.
Silindir Burcu   +3 more
doaj   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

open access: yesAdvanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun   +5 more
wiley   +1 more source

On Parameter Differentiation for Integral Representations of Associated Legendre Functions

open access: yesSymmetry, Integrability and Geometry: Methods and Applications, 2011
For integral representations of associated Legendre functions in terms of modified Bessel functions, we establish justification for differentiation under the integral sign with respect to parameters.
Howard S. Cohl
doaj   +1 more source

An integral containing a Bessel Function and a Modified Bessel Function of the First Kind

open access: yes, 2017
Here we discuss the calculation of an integral containing the Bessel function J0(r) and the modified Bessel function of the first kind I1(r). The calculus is based on a function of J0(r), I1(r) and of their derivatives, having a Wronskian form. The method here described could be useful for training the students in the manipulation of such integrals.
openaire   +2 more sources

Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function

open access: yesAdvanced Intelligent Systems, EarlyView.
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia   +3 more
wiley   +1 more source

Inequalities involving modified Bessel functions of the first kind

open access: yesJournal of Mathematical Analysis and Applications, 1992
The author proves some inequalities for modified Bessel functions of the first kind which are related to a log-convexity property of the hypergeometric function \(F_{0,1}(1+\mu;x^ 2/4)\) (\(\mu>-1/2\)).
openaire   +1 more source

Accelerating Sustainable Epoxy Resin Development Through Bayesian Optimization and Inverse Design

open access: yesJournal of Applied Polymer Science, EarlyView.
Development of a machine learning framework for the optimization of the Tg of partially bio‐based epoxy resin formulations in a 13‐component design space using Bayesian optimization, active learning, random design, and inverse design. The results show that the BO effectively navigates high‐dimensional formulation spaces, and the final ML model could ...
Natalie Wunder   +3 more
wiley   +1 more source

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