Thermal energy storage metamaterials

Thermal metamaterials exhibit thermal properties that do not exist in nature but can be rationally designed to offer unique capabilities of controlling heat transfer. Recent advances have demonstrated successful manipulation of conductive heat transfer and led to novel heat guiding structures su
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Recent Advances in Thermal Metamaterials and Their Future Applications

Abstract. Thermal metamaterials exhibit thermal properties that do not exist in nature but can be rationally designed to offer unique capabilities of controlling heat transfer.

Structured graphene metamaterial selective absorbers for high

where E α is the total solar absorbance, E R is the thermal radiation loss, E solar is the spectral solar irradiation, E B (λ,T A) is the black-body radiation at temperature T

Revolutionizing thermal energy storage: An overview of porous

Phase Change Materials (PCMs) are capable of efficiently storing thermal energy due to their high energy density and consistent temperature regulation. However, challenges such as poor

3D printed energy devices: generation, conversion,

The energy devices for generation, conversion, and storage of electricity are widely used across diverse aspects of human life and various industry. Three-dimensional (3D) printing has emerged as

Safe energy-storage mechanical metamaterials via architecture

This study demonstrated how to design an energy-storage metamaterials with enhanced mechanical properties and battery safety simultaneously. Also, defect engineering was helpful

Machine Learning Aided Design and Optimization of

In particular, this review provides: (1) Optimization of thermal metamaterials using optimization algorithms to achieve specific target properties. (2) Integration of discriminative models with optimization algorithms to

Manipulating Steady Heat Conduction by Sensu -shaped Thermal Metamaterials

Researchers have been pursuing effective methodologies to control thermal flux for multifarious applications 1,2,3,4,5,6,7,8,9,10,11,12,13.The manipulation of heat flow is

Machine Learning Aided Design and Optimization of

Artificial Intelligence (AI) has advanced material research that were previously intractable, for example, the machine learning (ML) has been able to predict some unprecedented thermal properties. In this review, we first

Flexible and scalable photothermal/electro thermal anti-icing/de

6 天之前· Icing presents significant economic and security challenges. 1, 2, 3 Water freezing is a widespread phenomenon that has implications in various fields, including climate, industry,

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