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Related Concept Videos

Thermal Sigmatropic Reactions: Overview01:16

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Sigmatropic rearrangements are a class of pericyclic reactions in which a σ bond migrates from one part of a π system to another. These are intramolecular rearrangements where the total number of σ and π bonds remain unchanged.
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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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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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Heat transfer between the human body and its environment occurs through four main mechanisms: conduction, convection, radiation, and evaporation.
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Mechanisms of Heat Transfer I01:14

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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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Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
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Deep-Learning-Enabled Intelligent Design of Thermal Metamaterials.

Yihui Wang1, Wei Sha1, Mi Xiao1

  • 1State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.

Advanced Materials (Deerfield Beach, Fla.)
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Summary
This summary is machine-generated.

Researchers developed an intelligent design framework for thermal metamaterials using deep learning. This AI approach enables rapid, customized design of complex thermal devices with arbitrary geometries.

Keywords:
deep learningintelligent designthermal cloakthermal metamaterials

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Area of Science:

  • Materials Science
  • Physics
  • Engineering

Background:

  • Thermal metamaterials offer advanced control over heat flow for novel thermal devices.
  • Traditional designs are limited to regular geometries due to analytical solution complexities.
  • Designing thermal metamaterials with arbitrary shapes and intelligent customization is a significant challenge.

Purpose of the Study:

  • To introduce an intelligent design framework for thermal metamaterials.
  • To enable automatic, real-time, and customizable design regardless of geometry.
  • To demonstrate the framework's versatility across different materials and functionalities.

Main Methods:

  • Utilized a pre-trained deep learning model for an intelligent design framework.
  • Developed a method for achieving desired functional structures with arbitrary geometry.
  • Applied the framework to design transformation thermotics-induced thermal cloaks.

Main Results:

  • The deep learning framework achieved rapid and efficient design of thermal metamaterials.
  • Demonstrated exceptional versatility for various background materials and anisotropic geometries.
  • Successfully designed and validated freeform, background-independent, and omnidirectional thermal cloaks.

Conclusions:

  • The study presents a novel paradigm for automatic and real-time design of thermal metamaterials.
  • The intelligent framework offers high speed, efficiency, and flexibility for complex designs.
  • This approach has the potential to advance metamaterial design in other physical domains.