Work

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

Year: 2023

Type: article

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.

Source: Next Energy

DOI: 10.1016/j.nxener.2023.100078

Authors: Jiang Guo, Junichiro Shiomi

Institutions: The University of Tokyo, RIKEN Center for Advanced Intelligence Project, The Institute of Statistical Mathematics, Research Organization of Information and Systems

Language: English

Topic: Thermal Radiation and Cooling Technologies

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,250

Funders: Japan Science and Technology Agency, Core Research for Evolutional Science and Technology