Inverse design of colored daytime radiative coolers using deep neural networks-Reference-Cited by-同舟云学术

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Inverse design of colored daytime radiative coolers using deep neural networks

Published:2024-07 Issue: Volume:271 Page:112848
ISSN:0927-0248
Container-title:Solar Energy Materials and Solar Cells
language:en
Short-container-title:Solar Energy Materials and Solar Cells

Author:

Keawmuang Harit^ORCID,Badloe Trevon^ORCID,Lee Chihun,Park Junkyeong,Rho Junsuk^ORCID

Publisher

Elsevier BV

Reference37 articles.

1. Contribution of air conditioning adoption to future energy use under global warming;Davis;Proc. Natl. Acad. Sci. U. S. A.,2015

2. A review on buildings energy consumption information;Pérez-Lombard;Energy Build.,2008

3. Infrared‐reflective transparent hyperbolic metamaterials for use in radiative cooling windows;Jin;Adv. Funct. Mater.,2023

4. Sub-ambient daytime radiative cooling by silica-coated porous anodic aluminum oxide;Lee;Nano Energy,2021

5. Optimally designed multimaterial microparticle–polymer composite paints for passive daytime radiative cooling;Yun;ACS Photonics,2023

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Inverse-Designed 3D Laser Nanoprinted Phase Masks to Extend the Depth of Field of Imaging Systems;ACS Photonics;2024-09-03

2. Stretchable Metamaterials with Tunable Infrared Emissivity for Dynamic Thermal Management;ACS Applied Materials & Interfaces;2024-09-02

3. Flexible Passive Daytime Radiative Cooling Aerogel with Outstanding Amphiphobic Monolith Properties;ACS Applied Energy Materials;2024-07-15

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