Results 61 to 70 of about 7,229 (216)

Ultrafast Dense Immobilization of Noble Metal Nanoparticles on Customizable Multifunctional Polymer Microspheres for Heterogeneous Catalysis and Multiplexed Biodetection

open access: yesAdvanced Science, EarlyView.
This work proposes a facile co‐assembly strategy to achieve highly uniform and dense immobilization of diverse noble metal nanoparticles onto metastable multifunctional (e.g., magnetic or fluorescent) polymer microspheres, enabling fabrication of complex hierarchical superstructures.
Jie Zhao   +12 more
wiley   +1 more source

Multimodal Super‐Resolution Imaging of Nitrogen‐Vacancy Centers via High‐Index‐Induced Structured Illumination Microscopy and Optically Detected Magnetic Resonance Spectrometry

open access: yesAdvanced Science, EarlyView.
This work demonstrates a multimodal super‐resolution imaging technique for nitrogen‐vacancy centers by integrating high‐index‐induced structured illumination with optically detected magnetic resonance. By utilizing diamond's high refractive index, the method achieves sub‐100‐nm spatial resolution and enhanced localization. This dual‐modulation strategy
Kyu Ri Choi   +9 more
wiley   +1 more source

Domain Decomposition CN-FDTD with Unsplit-Field PML for Time-Reversed Channel Analysis [PDF]

open access: yesRadioengineering, 2018
In this paper, an efficient domain decomposition (DD) technique is introduced into the implicit Crank-Nicolson finite-difference time-domain (CN-FDTD) method to analyze the channel characteristics of time reversal (TR) waves. As an unconditionally stable
X. K. Wei   +3 more
doaj  

Efficient and Robust Heterostructure CeZrOx/NiO‐Ni Inverse Catalyst for Sustainable Photothermal CO2 Methanation

open access: yesAdvanced Science, EarlyView.
A heterostructured CeZrOx/NiO‐Ni inverse catalyst is designed for highly efficient photothermal CO2 methanation under low‐intensity light without auxiliary heating. It achieves 464 mmol·gcat−1·h−1 methane space‐time yield under natural concentrated sunlight, maintains stability over light‐dark cycles and extended air storage, and is scalable to 100 g ...
Chuqiao Song   +16 more
wiley   +1 more source

THE SOLUTION OF THE CABLE EQUATIONS BY MEANS OF FINITE DIFFERENCE TIME DOMAIN METHOD

open access: yesProblems of the Regional Energetics, 2010
The analysis and comparison of accuracy of numerical solutions received by Finite Difference Time Domain (FDTD) method and Godunov's method at the solution of the cable equations is carried out.
Patsiuk V.I., Ribacova
doaj  

A High-Performance Parallel FDTD Method Enhanced by Using SSE Instruction Set

open access: yesInternational Journal of Antennas and Propagation, 2012
We introduce a hardware acceleration technique for the parallel finite difference time domain (FDTD) method using the SSE (streaming (single instruction multiple data) SIMD extensions) instruction set.
Dau-Chyrh Chang   +4 more
doaj   +1 more source

Finite-difference time-domain simulation of partial discharges in a gas insulated switchgear

open access: yesHigh Voltage, 2016
It is important to estimate the current magnitude and charge amount of a partial discharge (PD) in a gas-insulated switchgear (GIS). In this study, electromagnetic fields generated by a PD in an 84 kV-class three-phase GIS for testing have been measured ...
Hiroki Tanaka   +6 more
doaj   +1 more source

Innovative Metasurface Colorimetric Cell‐on‐a‐Chip Sensor for Continuous, Label‐Free, Non‐Destructive Assessment of Intestinal Barrier Dynamics

open access: yesAdvanced Science, EarlyView.
We developed a real‐time, label‐free, high‐throughput cell‐on‐a‐chip system based on a metasurface plasmon resonance colorimetric sensor (MetaSPRCS) to evaluate intestinal barrier function. This platform enables continuous monitoring of cell adhesion, proliferation, and barrier layer formation, disruption, and repair.
Youqian Chen   +14 more
wiley   +1 more source

Design and Optimization of Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces Based on Conditional Multi‐Task Deep Learning

open access: yesAdvanced Science, EarlyView.
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong   +9 more
wiley   +1 more source

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