Advances in materials informatics for tailoring thermal radiation: A perspective review

Jiang Guo; Junichiro Shiomi

doi:10.1016/j.nxener.2023.100078

Advances in materials informatics for tailoring thermal radiation: A perspective review

Jiang Guo (Department of Mechanical Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan) Junichiro Shiomi (Department of Mechanical Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan; Institute of Engineering Innovation, The University of Tokyo, 2-11-16 Yayoi, Bunkyo, Tokyo 113-8656, Japan; RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihombashi, Chuo-ku, Tokyo 103-0027, Japan; The Institute of Statistical Mathematics, Research Organization of Information and Systems, Tachikawa, 10-3 Midori-cho, Tokyo 190-8562, Japan; Correspondence to: Institute of Engineering Innovation, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan.)

Journal: Next Energy • 2024-01-01 • Elsevier • 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.

Subjects & Keywords

# Energy industries. Energy policy. Fuel trade # Renewable energy sources # Materials informatics # Bayesian optimization # Deep learning # Quantum computing # Radiative cooling # Thermal emitters

How to Cite this Article

                    Jiang Guo, Junichiro Shiomi (2024). "Advances in materials informatics for tailoring thermal radiation: A perspective review". Next Energy. https://doi.org/10.1016/j.nxener.2023.100078                

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Open Access (DOAJ)

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Identifiers & Provenance

DOI: 10.1016/j.nxener.2023.100078 ↗
Primary Index: DOAJ