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相关概念视频

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

85
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
85
Standing Waves in a Cavity01:28

Standing Waves in a Cavity

855
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:
855
Electromagnetic Waves01:30

Electromagnetic Waves

8.5K
James Clerk Maxwell formulated a single theory combining all the electric and magnetic effects scientists knew during that time, calling the phenomena his theory predicted “Electromagnetic waves”. He brought together all the work that had been done by brilliant physicists such as Oersted, Coulomb, Gauss, and Faraday and added his own insights to develop the overarching theory of electromagnetism. Maxwell’s equations, combined with the Lorentz force law, encompass all the laws...
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Electromagnetic Fields01:30

Electromagnetic Fields

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Electric fields generated by static charges, often referred to as electrostatic fields, are characteristically different from electric fields created by time-varying magnetic fields. While the former is a conservative field, implying that no net work is done on a test charge if it goes around in a complete loop in the field, the latter is, by definition, not a conservative field; net work is done, and it is proportional to the rate of change of magnetic flux.
However, the observation of...
2.1K
Propagation Speed of Electromagnetic Waves01:30

Propagation Speed of Electromagnetic Waves

3.3K
Electromagnetic waves are consistent with Ampere's law. Assuming there is no conduction current Ampere's law is given as:
3.3K
Generating Electromagnetic Radiations01:10

Generating Electromagnetic Radiations

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The German physicist Heinrich Hertz (1857–1894) was the first to generate and detect certain types of electromagnetic waves in the laboratory. Starting in 1887, he performed a series of experiments that confirmed the existence of electromagnetic waves and verified that they travel at the speed of light. Hertz used an alternating-current RLC (resistor-inductor-capacitor) circuit that resonated at a known frequency and connected it to a loop of wire. High voltages induced across the gap in...
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多频球形斗在微波频率,通过深度学习启用深度学习.

Zhiwei Yang, Junliang Duan, Hongbo Xu

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    |January 29, 2025
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    概括

    深度学习通过预测散射截面和优化结构参数来有效设计隐形斗. 这种数据驱动的方法实现了对多个波型和频率的完美隐形性,彻底改变了斗设计.

    科学领域:

    • 电磁学和元材料的使用
    • 计算物理 计算物理
    • 应用的人工智能应用的人工智能

    背景情况:

    • 设计隐形设备对于通信和建筑中的反检测应用至关重要.
    • 设计覆盖装置的传统方法是低效的,依赖于手动参数调整和试错.
    • 数据驱动方法的出现,特别是深度学习,为复杂的设计问题提供了有希望的替代方案.

    研究的目的:

    • 为了证明训练有素的深度神经网络在设计隐形设备方面的有效性.
    • 准确预测多层球体的散射截面 (SCS).
    • 为了实现目标光谱隐形性能,逆向设计结构参数.

    主要方法:

    • 深度神经网络 (DNN) 模型的开发和培训.
    • 基于结构参数的分散截面 (SCS) 的DNN预测.
    • 逆向设计使用DNN来确定所需隐形性的结构参数.
    • 通过三维全波模拟进行验证.

    主要成果:

    • DNN准确地预测了多层球体的散射截面 (SCS).
    • 反向设计能力成功地识别了目标光谱的结构参数.
    • 模拟证实了横向电 (TE) 和横向磁 (TM) 波下的完美隐形性能.

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  • 无形性是通过多个频率和点源照明实现的.
  • 结论:

    • 深度学习为设计隐形设备提供了一种高效准确的方法.
    • 与传统方法相比,数据驱动的方法大大减少了时间和精力.
    • 这项工作突出了深度学习的潜力,可以彻底改变电磁隐蔽设计.