학술논문
Advances in materials informatics for tailoring thermal radiation: A perspective review
Document Type
article
Author
Source
Next Energy, Vol 2, Iss , Pp 100078- (2024)
Subject
Language
English
ISSN
2949-821X
Abstract
Materials informatics has emerged as a powerful tool for the discovery, design, and optimization of materials with tailored thermal radiative properties. This perspective review highlights the recent advances in optimization algorithms, including Bayesian optimization, deep learning, and quantum computing, and their applications in various fields such as thermophotovoltaics, radiative cooling, gas sensors, and directional emitters. We also discuss the challenges and future directions of this rapidly evolving field.