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S. Fujii, A. Seko,, "Structure and lattice thermal conductivity of grain boundaries in silicon by using machine learning potential and molecular dynamics", Computational Materials Science 204 (2022) 111137 (https://doi.org/10.1016/j.commatsci.2021.111137

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Chuchu Yang, Bin Feng, Jiake Wei, Eita Tochigi, Naoya Shibata, Yuichi Ikuhara, "Atomic and electronic band structures of Y-doped Al2O3 grain boundaries", Journal of the Ceramic Society of Japan 130 [3] 286-289 2022 (http://doi.org/10.2109/jcersj2.21168

S. Kiyohara, K. Kikumasa, K. Shibata, and T. Mizoguchi, "Determination of the Spectrum-structure Relationship by Tree Structure-based Unsupervised and Supervised Learning", Ultramicroscopy, 233 (2022) 113438-1-8. (https://doi.org/10.1016/j.ultramic.2021.113438

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K. Liao, K. Shibata,and T. Mizoguchi, "Nanoscale Investigation of Local Thermal Expansion at SrTiO3 Grain Boundaries by Electron Energy Loss Spectroscopy", Nano Lett. 2021, 21, 24, 10416–10422 (https://doi.org/10.1021/acs.nanolett.1c03735

Y. Kezuka, H. Murata, M. Yoshida, K. Eguchi, A. Nakahira, M. Tajika, "Effects of trace Si impurities in water on the growth of calcite nanoparticles", CrystEngComm, 24, 747-754 (2022) (https://pubs.rsc.org/en/content/articlelanding/2022/CE/D1CE01463C

M. Tsubaki and T. Mizoguchi,, "Quantum Deep Descriptor: Physically Informed Transfer Learning from Small Molecules to Polymers", Journal of Chemical Theory and Computation, 17 (2021)7814-7821. (https://doi.org/10.1021/acs.jctc.1c00568

K. Shinohara, A. Seko, T. Horiyama, I. Tanaka, "Finding well-optimized special quasirandom structures with decision diagram", Phys. Rev. Materials 5, (2021) 113803-1-13. (https://doi.org/10.1103/PhysRevMaterials.5.113803