Data-Driven Design of Transparent Thermal Insulating Nanoscale Layered Oxides

Yen-Ju Wu1,2, Yibin Xu1

  • 1Research and Service Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS) 1-1 Namiki, Tsukuba 305-0044, Ibaraki, Japan.

Micromachines
|January 21, 2023
PubMed
Summary

Machine learning models predicted TiO2/SiO2 thin films with high transparency and ultralow thermal conductivity. Experimental results confirmed high interfacial thermal resistance (ITR), demonstrating potential for advanced thermal insulation.

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