High-Performance Transparent Radiative Cooler Designed by Quantum Computing

doi:10.1021/acsenergylett.2c01969

2022-11-02

PRE

DOI：10.1021/acsenergylett.2c01969

原文链接

原文求助

摘要

En 中文

Transparent radiative coolers can be used as window materials to reduce cooling energy needs for buildings and automobiles, which may contribute significantly to addressing climate change challenges. However, it is difficult to achieve high visible transparency and radiative cooling performance simultaneously. Here, we design a visually transparent radiative cooler on the basis of layered photonic structures using a quantum computing-assisted active learning scheme, which combines active data production, machine learning, and quantum annealing in an iterative loop. We experimentally fabricate the designed cooler and demonstrate its cooling effect. This cooler may lead to an annual energy saving of up to 86.3 MJ/m(2) in hot climates compared with normal glass windows. The quantum annealing-assisted active learning scheme may be generalized for the design of other complex materials.

Keyword:

OPTICAL-PROPERTIES

OPTIMIZATION

WATER

期刊

ACS Energy Letters

IF:

18.2

论文数:

5.2K

被引数:

6.6W

机构

University of Notre Dame

学者数:

1.2W

论文数: 1.1W

被引数: 1.7W

kyung hee university

学者数:

2.3W

论文数: 2.2W

被引数: 234

引用论文

Porous Polymers with Switchable Optical Transmittance for Optical and Thermal Regulation 具有可切换光学透射率的多孔聚合物，用于光学和热调节

JOULE

IF35.4

2019-12-01

245

OAAI

Mandal, Jyotirmoy; Jia, Mingxin; Overvig, Adam; Fu, Yanke; Che, Eric; Yu, Nanfang; Yang, Yuan

Creating an Eco-Friendly Building Coating with Smart Subambient Radiative Cooling 创建具有智能低温辐射冷却功能的环保建筑涂料

ADVANCED MATERIALS

IF26.8

2020-09-13

284

OAAI

Xue, Xiao; Qiu, Meng; Li, Yanwen; Zhang, Q. M.; Li, Siqi; Yang, Zhuo; Feng, Chi; Zhang, Weidong; Dai, Jian-Guo; Lei, Dangyuan; Jin, Wei; Xu, Lijin; Zhang, Tao; Qin, Jie; Wang, Huiqun; Fan, Shanhui

Automated multi-layer optical design via deep reinforcement learning 通过深度强化学习实现自动化多层光学设计

MACHINE LEARNING-SCIENCE AND TECHNOLOGY

IF4.6

2021-02-03