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In convection, thermal energy is carried by the large-scale flow of matter. Ocean currents and large-scale atmospheric circulation, which result from the buoyancy of warm air and water, transfer hot air from the tropics toward the poles and cold air from the poles toward the tropics. The Earth’s rotation interacts with those flows, causing the observed eastward flow of air in the temperate zones. Convection dominates heat transfer by air, and the amount of available space for the airflow...
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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
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Heat transfer between the human body and its environment occurs through four main mechanisms: conduction, convection, radiation, and evaporation.
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Just as interesting as the effects of heat transfer on a system are the methods by which the heat transfer occur. Whenever there is a temperature difference, heat transfer occurs. It may occur rapidly, such as through a cooking pan, or slowly, such as through the walls of a picnic ice box. So many processes involve heat transfer that it is hard to imagine a situation where no heat transfer occurs. Yet, every heat transfer takes place by only three methods: conduction, convection, and radiation.
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Understanding heat transfer mechanisms is essential for understanding how our bodies maintain balance in different environmental conditions. When the environment is thermoneutral, the body is in a state of balance, neither using nor releasing energy to maintain its core temperature. However, when the environment is not thermoneutral, the body employs four heat transfer mechanisms to maintain homeostasis: conduction, convection, evaporation, and radiation. These mechanisms facilitate heat...
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  1. 首页
  3. 机器学习驱动的冷却窗口设计超越了超模的元材料.
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  3. 机器学习驱动的冷却窗口设计超越了超模的元材料.

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机器学习驱动的冷却窗口设计超越了超模的元材料.

Seok-Beom Seo1, Ye-Rin Choi1, Jong-Goog Lee1

  • 1Department of Applied Physics Kyung Hee University Yongin South Korea.

Nanophotonics (Berlin, Germany)
|March 9, 2026

在PubMed 上查看摘要

概括
此摘要是机器生成的。

机器学习 (ML) 反向设计创造了优越的超薄冷却窗口涂层. 优化了ML的多层超越了传统设计,提供了高可见透射率和近红外反射率以节省能源.

关键词:
节能节能节能节能节能节能节能过度波动的元材料机器学习的超越性能的表现.金属/电解压多层的多层.这是一种光学涂层.消极冷却是一种被动冷却.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 光学是什么?光学是什么?
  • 计算科学 计算科学

背景情况:

  • 分析的多层设计仅限于狭窄的光谱带.
  • 机器学习 (ML) 提供了在多个频段优化多层的潜力.
  • 在相同的约束条件下,ML优化的多层与分析设计的性能基本上没有得到证实.

研究的目的:

  • 实验验证ML驱动的反向设计对多层涂层的优越性.
  • 开发具有高平均可见透射率 (AVT) 和高平均近红外反射率 (ANR) 的冷却窗口涂层.
  • 为了比较 ML 优化的无周期设计与周期性的超模态元材料 (HMM) 对应物.

主要方法:

  • 使用了一个因子化机器,集成与模拟化,用于ML驱动的反向设计.
  • 设计和制造的ZnS/Ag多层.
  • 基准测试的ML设计与周期性超模态元材料 (HMM) 结构相比较.

主要成果:

  • 在156纳米厚度约束下,ML设计的涂层与HMM (0.49 AVT,0.83 ANR) 相比,实现了更高的性能 (0.57 AVT,0.98 ANR).
  • 一个扩展的ML设计 (300 nm) 通过抑制法布里-佩罗共振达到0.79 AVT和0.97 ANR.
  • 与HMM不同,ML驱动的多层显示器在可见光谱中展示了可调的传输颜色,而不是HMM.

    • 结论:

    • ML驱动的反向设计是一种强大的方法,用于创建高性能,超薄和可调色的冷却窗口涂层.
    • 这些先进的涂层为城市节能提供了巨大的潜力.
    • 该研究通过实验证实了ML优化对多层光学涂层传统分析方法的优势.