Results 21 to 30 of about 6,077 (234)

A Novel Hybrid Algorithm for Transient Near-Field Scattering from Rough Surface in 2-D Case

open access: yesInternational Journal of Antennas and Propagation, 2021
A novel hybrid algorithm is proposed to reduce the computation cost of the finite-difference time-domain (FDTD) method in calculating the transient near-field scattering from rough surface.
Wei Tian, Bing Wei, Qian Yang
doaj   +1 more source

FDTD analysis of magnetized plasma using an equivalent lumped circuit

open access: yesJournal of Telecommunications and Information Technology, 2005
The paper describes a new approach to electromagnetic analysis of magnetized plasma using finite difference time domain (FDTD) method. An equivalent lumped circuit describing an FDTD cell filled with plasma is developed and applied in the analysis. Such
Artur Moryc
doaj   +1 more source

A partial discharge detection method for high-voltage cables based on FDTD modeling

open access: yesZhejiang dianli, 2023
The partial discharge (PD) of high-voltage cables and the accessories directly affects the insulation performance of power cables. Therefore, a PD detection method for high-voltage cables based on finite-difference time-domain (FDTD) modeling is proposed.
PAN Biao   +5 more
doaj   +1 more source

RBF-FDTD Analysis of Lightning-Induced Voltages on Multi-Conductor Distribution Lines

open access: yesEnergies
Lightning-induced voltages on overhead distribution lines present a formidable obstacle to ensuring the reliability of power systems, evaluated through conventional numerical techniques, such as the Finite Difference Time Domain (FDTD) method and the ...
Duc-Quang Vu   +2 more
doaj   +1 more source

A Novel High-Order Symplectic Compact FDTD Schemes for Optical Waveguide Simulation

open access: yesIEEE Photonics Journal, 2022
As a 2-D full-wave numerical algorithm in the time domain, the compact Finite Difference Time Domain (FDTD) is an efficient algorithm for eigenvalue analysis of optical waveguide system.
Xiaojing Kuang   +5 more
doaj   +1 more source

Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light

open access: yesAdvanced Functional Materials, EarlyView.
A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid   +13 more
wiley   +1 more source

A hybrid method combining the Time-Domain Method of Moments, the Time-Domain Uniform Theory of Diffraction and the FDTD [PDF]

open access: yesAdvances in Radio Science, 2007
In this paper a hybrid method combining the Time-Domain Method of Moments (TD-MoM), the Time-Domain Uniform Theory of Diffraction (TD-UTD) and the Finite-Difference Time-Domain Method (FDTD) is presented.
A. Becker, V. Hansen
doaj  

Three‐dimensional Antimony Sulfide Based Flat Optics

open access: yesAdvanced Functional Materials, EarlyView.
This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang   +18 more
wiley   +1 more source

Hybrid Sub-Gridded Time-Domain Method for Ground Penetrating Radar Simulations Including Dispersive Materials

open access: yesIEEE Access, 2018
Based on the explicit finite-difference time-domain (FDTD) and implicit Crank–Nicolson (CN) FDTD methods, this paper presents a hybrid sub-gridded scheme whose time step size depends on the coarse grid size for numerically simulating the 3-D ...
Xiao-Kun Wei, Wei Shao, Xiao-Hua Wang
doaj   +1 more source

Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park   +4 more
wiley   +1 more source

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