2022年11月3日由艾米丽·亨德森（Emily Henderson）审查
With climate change intensifying the summer heat, there is a great demand for cooling technologies for buildings. Currently, a team of researchers has used artificial intelligence (AI) and advanced computing technology to engineer a transparent window coating that is capable of lowering thetemperature within buildings without even using a tiny amount of energy.
这部窗户膜（用手指固定在左上方）可以通过允许可见光进入，同时反射隐形红外和紫外线阳光，并散发出热量进入外层空间，从而保持房间的明亮和凉爽。图片来源：改编自ACS Energy Letters 2022，doi：10.1021/acsenergylett.2C01969。
Details of the new window coating have been illustrated in the journalACSEnergy Letters.
Previous studies have shown that cooling is the cause of approximately 15% of energy consumption worldwide. That energy demand can be reduced with a window coating that could obstruct the ultraviolet and near-infrared light of the sun—the constituents of the solar spectrum that normally pass through the glass to heat a room.
如果涂层以通过空气进入外层空间的波长从窗户表面发出热量，则可以将能源使用最小化。
但是，开发可以同时匹配这些标准并可以传达可见光的材料，这是一项挑战，这意味着亚博网站下载它们不会阻碍视图。Tengfei Luo，Eungkyu Lee和同事旨在设计一个可以实现这一目标的“透明辐射冷却器”（TRC）。
该团队建立了TRC的计算机型号，其中包括常规材料的交替层，例如氮化硅，二氧化硅，二氧化钛或氧化铝氧化铝，并在顶部带有聚二甲基硅氧烷的膜。亚博网站下载他们使用量子计算和机器学习指导的迭代方法改善了层的类型，顺序和组合，该方法使用亚原子粒子来存储数据。yabo214
This computing technique performs optimization quicker and better than standard computers as it can efficiently test all probable combinations within a second. This formed a coating design that, when manufactured, outdid the performance of conventionally engineered TRCs as well as one of the top commercial heat-reduction glasses.
科学家解释说，在炎热的干旱城市中，与传统窗户相比，改进的TRC可能会将冷却能源消耗减少31％。他们观察到他们的发现可以适应其他应用，因为TRC也可以应用于卡车和汽车窗。
Furthermore, the team’s quantum computing-aided optimization method could be used to engineer other kinds of composite materials.
韩国国家研究基金会和巴黎圣母院研究中心支持了这项研究。
期刊参考：
Kim, S.,et al。（（2022) High-Performance Transparent Radiative Cooler Designed by Quantum Computing.ACSEnergy Letters。doi.org/10.1021/acsenergylett.2C01969。
Source:https://www.acs.org