Results 151 to 160 of about 468 (207)
Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang +10 more
wiley +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu +4 more
wiley +1 more source
Tuning Stability and Optoelectronic Properties of CsSnI3 Via Rare‐Earth Doping
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Sn‐based halide perovskites are promising optoelectronic materials but are limited by poor stability. Thus, rare‐earth elements (RE) doping in CsSnI3 addresses this limitation, significantly enhancing thermodynamic, mechanical, and chemical stability, while simultaneously tuning electronic characteristics and modulating optical responses in the ...
Haowei Wang +6 more
wiley +1 more source
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Metasurfaces for Radar Cross-Section Reduction
2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), 2019This work reviews the most recent advancements in the techniqbes utilized for the reduction of Radar Cross Section (RCS) incorporating metasurfaces. Fundamental theory is briefly reviewed then followed by well-known broadband RCS-reduction metasurface designs.
Constantine Balanis, Anuj Modi
exaly +2 more sources
Radar Cross Section Reduction Based on Metasurface
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 2018A novel polarization insensitive metasurface for backscattering Radar Cross Section (RCS) reduction is designed and studied. The proposed metasurface consist of carefully arranged unit cells, which enables estimated uniform diffusion of incoming electromagnetic (EM) energy.
Xing-Long Zhang +3 more
exaly +2 more sources
Experience on radar cross section reduction of a warship
Microwave and Optical Technology Letters, 2014ABSTRACTThe aim of this work is to present a real experience on radar cross section (RCS) reduction using a radar absorbent material (RAM) made of microwire metallic fibers on a patrol ship of the Spanish Navy. The effectiveness of this RAM has been demonstrated, providing a drastic reduction in the number of significant scatterers or hot spots ...
Fernando Obelleiro +2 more
exaly +2 more sources
Design of Vivaldi Antenna With Wideband Radar Cross Section Reduction
IEEE Transactions on Antennas and Propagation, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rajesh Natarajan +2 more
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Wideband Radar Cross Section Reduction of Slot Antennas Arrays
IEEE Transactions on Antennas and Propagation, 2014A comprehensive analysis aimed at reducing the radar cross section (RCS) of array antennas, preserving at the same time their radiating performance, is presented. A microstrip slot array is considered as a test case to illustrate the proposed strategy for radar cross section reduction (RCSR).
Agostino Monorchio +2 more
exaly +2 more sources
Application of Bionics in Antenna Radar Cross Section Reduction
IEEE Antennas and Wireless Propagation Letters, 2009Bionics principle is applied to antenna radar cross section (RCS) reduction in this letter for the first time. To authenticate the method, a novel bionic ultrawideband (UWB) antenna is proposed by use of a model of insect tentacle. Its UWB-related radiation characteristics are simulated and experimentally verified.
, Shuxi Gong, Wen Jiang
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