Titlebook: Artificial Intelligence for Materials Science; Yuan Cheng,Tian Wang,Gang Zhang Book 2021 The Editor(s) (if applicable) and The Author(s),

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Thermal Nanostructure Design by Materials Informatics,ng from heat conduction through Si/Ge and GaAs/AlAs superlattices, graphene nanoribbons, to thermal emission for radiative cooling, ultranarrow emission, thermophotovoltaic system, and thermal camouflage. The remaining challenges and opportunities in this field are outlined and prospected.

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Brief Introduction of the Machine Learning Method,GI remains challenging. The machine learning methods, which have been adopted in the MGI, developed with big data and artificial intelligence. This chapter provides a brief overview of the machine learning methods adopted in the materials studies.

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