Machine-Learning-Assisted Design of a Robust Biomimetic Radiative Cooling Metamaterial-Reference-Cited by-同舟云学术

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Machine-Learning-Assisted Design of a Robust Biomimetic Radiative Cooling Metamaterial

Published:2024-05-20 Issue:6 Volume:6 Page:2416-2424
ISSN:2639-4979
Container-title:ACS Materials Letters
language:en
Short-container-title:ACS Materials Lett.

Author:

Ding Zhenmin¹,Li Xin¹,Ji Qingxiang²^ORCID,Zhang Yunce²,Li Honglin¹,Zhang Hulin²,Pattelli Lorenzo³^ORCID,Li Yao²⁴^ORCID,Xu Hongbo¹^ORCID,Zhao Jiupeng¹

Affiliation:

1. School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, PR China

2. Center for Composite Materials and Structure, Harbin Institute of Technology, Harbin 150001, China

3. Lorenzo Pattelli - Istituto Nazionale di Ricerca Metrologica (INRiM), Turin 10135, Italy

4. Suzhou Laboratory, Suzhou 215123, PR China

Funder

National Key Research and Development Program of China

Natural Science Foundation of Heilongjiang Province

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsmaterialslett.4c00337

Reference47 articles.

1. Photonics and thermodynamics concepts in radiative cooling

2. Photonic structures in radiative cooling

3. Photonics Empowered Passive Radiative Cooling

4. Biomimetic optical materials: Integration of nature’s design for manipulation of light

5. Bioinspired Chiral Template Guided Mineralization for Biophotonic Structural Materials

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