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It was found that the carbon defects, SiC nanocrystals, and heterojunction interfaces among carbon, SiC, and amorphous SiOxCy contribute to the nanocomposite's outstanding EM performance.
Results of present study suggest that interface of Cu interconnects is the key factor for EM performance for advanced BEOL technology design rules.
This work endows the nanowires potential to be utilized as reinforcements in polymers and ceramics for improving their EM performance with mechanical properties.
Results show that polymeric composites based on graphene nanoplatelets are much more easily processable than composites filled with carbon nanotubes, while still retaining much of the EM performance over the investigated frequency band, as well as being light weight.
The effect of three different carbon-based nano and microfillers on the electromagnetic (EM) performance of polymeric composites was examined through the measurement of the effective complex permittivity in the frequency range from 8.2 to 18 GHz.
The nanocomposites obtained from 4.3 wt% PVP exhibited excellent EM performance, their optimal reflection loss (RL, in dB unit) value reached as high as −57.8 dB at a coating thickness of 1.9 mm.
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The proposed BE-based EM algorithm performance is very close to the performance of a nonblind ML equalizer with perfect channel knowledge for both complex exponentials and polynomial BE functions.
Transparency in the infrared (IR) light region and high conductivity for electromagnetic (EM) shielding performance are contradicting properties for conventional window materials.
It is found that HCNs with an outer diameter of ∼70 nm and inner diameter of ∼30 nm exhibit the champion EM absorption performance, a minimum reflection loss (RL) of −50.8 dB at 13.5 GHz with a thickness of 1.9 mm, along with the corresponding bandwidth of RL less than −10 dB (90% absorption) covering 4.8 GHz.
In practice, EM algorithm performance degrades rapidly for high-dimensional systems under (1,2).
The following paragraphs expound on the methodology used to determine the degree of EM, CSR performance, and industry effects as well as on the model developed, including the control variables, to explore the EM-CSR relationship.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com