Title: Machine-learning designed smart coating: temperature-dependent self-adaptation between a solar absorber and a radiative cooler Show Chinese title

Title: 机器学习设计的智能涂层：太阳能吸收器与辐射冷却器之间的温度依赖性自适应

Abstract: We designed a multilayered self-adaptive absorber/emitter metamaterial, which can smartly switch between a solar absorber and a radiative cooler based on temperature change. The switching capability is facilitated by the phase change material and the structure is optimized by machine learning. Our design not only advances the machine-learning-based development of metamaterials but also has the potential to significantly reduce carbon emissions and contribute to the goal of achieving carbon neutrality. Show Chinese abstract

Abstract: 我们设计了一种多层自适应吸收器/发射器超材料，可以根据温度变化智能地在太阳能吸收器和辐射冷却器之间切换。 切换功能由相变材料实现，结构通过机器学习进行优化。 我们的设计不仅推动了基于机器学习的超材料发展，还有潜力显著减少碳排放，有助于实现碳中和的目标。