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Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

796
In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
796
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.8K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.8K
Standing Waves in a Cavity01:28

Standing Waves in a Cavity

1.7K
A household microwave and lasers are examples of standing electromagnetic waves in a cavity. When two conducting metal plates are placed parallel at the nodal planes, it creates a cavity where standing waves are formed. The cavity between the two planes is analogous to a stretched string held at the points x = 0 and x = L. Here, the distance 'L' between the two planes must be an integer multiple of half of the wavelength. The wavelengths that satisfy this condition are given by:
1.7K

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Related Experiment Video

Updated: Apr 15, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

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Fast and accurate extraction of microwave filter coupling matrix via physics-informed deep learning

Tarek Sallam1, Ahmed M Attiya2

  • 1School of Computer Science and Technology, Shandong Xiehe University, Jinan, 250109, Shandong, China. tarek.sallam@feng.bu.edu.eg.

Scientific Reports
|April 13, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Convolutional neural networkCoupling matrix extractionMicrowave filtersPhysics-informed deep learningRadial basis function neural network

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