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<p>This work explores the connection between neural networks and cloaking systems. Specifically, it focuses on achieving bifunctional cloaking of thermal and electric fields using the wave equation and heat conduction equation. The parameters of neural networks, including the activation function, the bias function, and the weight functions, are incorporated to enhance the design of the bifunctional cloaking mechanism. The primary aim is to address various practical challenges, such as cloaking and shielding, by offering a novel approach to simplify and optimize bifunctional cloaking. A significant advantage of this principle is its ability to elucidate bifunctional cloaking for thermal and electric fields more effectively and efficiently than existing methods. To the best of our knowledge, this is the first approach to comprehensively address these challenges.</p>

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Neural networks with bifunctional cloaking

  • 期刊论文

  • 发表日期：

    2025年12月10日

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  • Muhammad Raza,
  • Oleg Rybin,
  • Amna Shahbaz,
  • Najma Abdul Rehman

摘要

This work explores the connection between neural networks and cloaking systems. Specifically, it focuses on achieving bifunctional cloaking of thermal and electric fields using the wave equation and heat conduction equation. The parameters of neural networks, including the activation function, the bias function, and the weight functions, are incorporated to enhance the design of the bifunctional cloaking mechanism. The primary aim is to address various practical challenges, such as cloaking and shielding, by offering a novel approach to simplify and optimize bifunctional cloaking. A significant advantage of this principle is its ability to elucidate bifunctional cloaking for thermal and electric fields more effectively and efficiently than existing methods. To the best of our knowledge, this is the first approach to comprehensively address these challenges.