研究課題
This materials informatics related research project went smoothly in 2021. We have realized high-throughput screening for high thermal conductivity crystals and hydrodynamic thermal transport.The main achievements are summarized as follows:(1) The lower-order feature properties and transfer learning have been adopted to explore diamondlike lattice thermal conductivity crystals. We screened over 60000 crystal compounds with phonon scattering phase space as the feature quantity and identified a set of semiconducting compounds with high thermal conductivities.(2) The key descriptors that determines the magnitude of the intrinsic hydrodynamic effects were revealed by machine learning, most of them related with the phonon relaxation times.
すべて 2022 2021
すべて 雑誌論文 (3件) (うち国際共著 3件、 査読あり 3件) 学会発表 (3件) (うち国際学会 3件、 招待講演 3件)
Journal of Physics: Condensed Matter
巻: 34 ページ: 135702~135702
10.1088/1361-648X/ac49c9
Physical Review Materials
巻: 5 ページ: 053801~053801
10.1103/PhysRevMaterials.5.053801
Journal of Applied Physics
巻: 129 ページ: 085101~085101
10.1063/5.0037775