Broadband solar absorber and high-temperature thermal emitter based on deep-learning optimization and design
Abstract
A deep-learning-designed metamaterial absorber achieves >90% absorptivity over a 2078 nm bandwidth. Its thermal radiation efficiency stays high and even improves as temperature rises, promising for thermal energy conversion.
Fields of Study & Subjects
Thermal Radiation and Cooling Technologies
Solar Thermal and Photovoltaic Systems
Solar-Powered Water Purification Methods
Publication details
- Journal / source
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 14
- Issue
- 17
- Pages
- 10222–10234
- Publication date
- 1 January 2026
- Language
- EN