Cargando…
Design of a Broadband Solar Thermal Absorber Using a Deep Neural Network and Experimental Demonstration of Its Performance
In using nanostructures to design solar thermal absorbers, computational methods, such as rigorous coupled-wave analysis and the finite-difference time-domain method, are often employed to simulate light-structure interactions in the solar spectrum. However, those methods require heavy computational...
Autores principales: | Seo, Junyong, Jung, Pil-Hoon, Kim, Mingeon, Yang, Sounghyeok, Lee, Ikjin, Lee, Jungchul, Lee, Heon, Lee, Bong Jae |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803693/ https://www.ncbi.nlm.nih.gov/pubmed/31636300 http://dx.doi.org/10.1038/s41598-019-51407-2 |
Ejemplares similares
-
Metasurface Broadband Solar Absorber
por: Azad, Abul K., et al.
Publicado: (2016) -
Generation of highly integrated multiple vivid colours using a three-dimensional broadband perfect absorber
por: Kim, Soo-Jung, et al.
Publicado: (2019) -
Broadband Solar Metamaterial Absorbers Empowered by Transformer‐Based Deep Learning
por: Chen, Wei, et al.
Publicado: (2023) -
Ultrastrong Exciton–Photon Coupling in Broadband
Solar Absorbers
por: Bujalance, Clara, et al.
Publicado: (2021) -
Ultra-Broadband Refractory All-Metal Metamaterial Selective Absorber for Solar Thermal Energy Conversion
por: Qi, Buxiong, et al.
Publicado: (2021)