About Me

As a materials informatics researcher, I am enthusiastic about exploring the potential of machine learning to understand better and analyze materials.

I believe that machine learning and related technologies can have a transformative impact on the world. By continuing to push the boundaries of materials science through cutting-edge machine learning technologies, I hope to contribute to a brighter and more sustainable future.

Skills

I can say I'm quite good at
75

Python

80

Scikit Learn

50

PyTorch

40

SQL

Publications

  • 鈴木雄太, 尾崎嘉彦, 小野寛太, “解説：情報学的手法を用いた触媒開発 ブラックボックス最適化による結晶構造解析の自動化”, 触媒. 63, 294-298, (2021)
  • 鈴木雄太, 小野寛太, "マテリアルズ･インフォマティクスのためのデータ構築技術と材料開発へのアプローチ" 11章 第8節 "機械学習によるスペクトルデータ解析とその事例"（分担執筆）, 技術情報協会. (2021)
  • 鈴木雄太, 尾崎嘉彦, 羽合孝文, 斉藤耕太郎, 大西正輝, 小野寛太, "ブラックボックス最適化を用いたリートベルト解析の自動化", 放射光学会 学術講演会, 10, Jan. (2021), The best presentation award
  • Yuta Suzuki, Hideitsu Hino, Takafumi Hawai, Kotaro Saito, Masato Kotsugi, Kanta Ono, “Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach”, Scientific Reports. 10, 21790, (2020)
  • Keiki Fukumoto, Yuta Suzuki, Songyan Hou, Muhammad Danang Birowosuto, Alexandre Jaffre, David Alamarguy, E H T Teo, Hong Wang, Beng Kang Tay, Mohamed Boutchich, “Imaging the defect distribution in 2D hexagonal boron nitride by tracing photogenerated electron dynamics”, Journal of Physics D: Applied Physics. (2020)
  • 鈴木雄太, 日野英逸, 小野寛太, “機械学習を用いたX線吸収スペクトル解析の自動化 (Automation of X-ray Absorption Spectra Analysis using Machine Learning)”, 電気化学 (Electrochemistry). 88, 1, (2020)
  • Yuta Suzuki, Hideitsu Hino, Takafumi Hawai, Kotaro Saito, Kanta Ono, “Machine learning approach for on-the-fly crystal system classification from powder x-ray diffraction pattern”, TMS 2020 Annual Meeting, 23-27, Feb. (2020)
  • 鈴木雄太, 小嗣真人, 日野英逸, 小野寛太, “回折パターンデータベースの構築と機械学習による結晶構造予測”, 2018年度量子ビームサイエンスフェスタ, 12, Mar. (2019)
  • 鈴木雄太, 小嗣真人, 日野英逸, 小野寛太, “X線回折パターンからの結晶構造予測”, 第66回 応用物理学会 春季学術講演会, 9, Mar. (2019)
  • Yuta Suzuki, Hideitsu Hino, Masato Kotsugi, Kanta Ono, “Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures”, npj Computational Materials. 5, 39, (2019)
  • Takahiro Yamada, Yuta Suzuki, Chiharu Mitsumata, Kanta Ono, Tetsuro Ueno, Ippei Obayashi, Yasuaki Hirotaka, Masato Kotsugi, “パーシステントホモロジーを用いた迷路状磁区構造におけるトポロジカル欠陥の可視化 (Visualization of Topological Defect in Labyrinth Magnetic Domain by Using Persistent Homology)”,表面と真空 (Vacuum and Surface Science). 62, 153–160, (2019)
  • Masahiro Saito, Hisaaki Ito, Yuta Suzuki, Masaki Mizuguchi, Tomoyuki Koganezawa, Toshio Miyamachi, Fumio Komori, Koki Takanashi, Masato Kotsugi, “Fabrication of L10-FeNi by pulsed-laser deposition”, Applied Physics Letters. 114, 072404, (2019)
  • Yuta Suzuki, Hideitsu Hino, Takafumi Hawai, Masato Kotsugi, Kanta Ono, “Automated Lattice Constant Estimation of X-ray Diffraction by Ensemble Learning”, The 5th International Conference on Electronic Materials and Nanotechnology for Green Environment (ENGE 2018) , 11-14, Nov. (2018)
  • Shingo Yamamoto, Yuya Kubota, Kohei Yamamoto, Yoshinobu Takahashi, Kohei Maruyama, Yuta Suzuki, Rei Hobara, Masami Fujisawa, Daiki Oshima, Shigeki Owada, Tadashi Togashi, Kensuke Tono, Makina Yabashi, Yasuyuki Hirata, Susumu Yamamoto, Masato Kotsugi, Hiroki Wadati, Takeshi Kato, Satoshi Iwata, Shik Shin, and Iwao Matsuda, “Femtosecond resonant magneto-optical Kerr effect measurement on an ultrathin magnetic film in a soft X-ray free electron laser”, Japanese Journal of Applied Physics. 57, 09TD02, (2018)
  • Yuta Suzuki, Hideitsu Hino, Yasuo Takeichi, Takafumi Hawai, Masato Kotsugi, Kanta Ono, “Machine Learning-based Crystal Structure Prediction for X-Ray Microdiffraction”, The 14th International Conference on X-Ray Microscopy (XRM2018), 19-24, Aug. (2018)
  • Yuta Suzuki, Hideitsu Hino, Tetsuro Ueno, Yasuo Takeichi, Masato Kotsugi, Kanta Ono, “Extraction of Physical Parameters from X-ray Spectromicroscopy Data Using Machine Learning”, The 14th International Conference on X-Ray Microscopy (XRM2018), 19-24, Aug. (2018)
  • Sh. Yamamoto, T. Omi, H. Akai, Y. Kubota, Y. Takahashi, Y. Suzuki, Y. Hirata, K. Yamamoto, R. Yukawa, K. Horiba, H. Yumoto, T. Koyama, H. Ohashi, S. Owada, K. Tono, M. Yabashi, E. Shigemasa, S. Yamamoto, M. Kotsugi, H. Wadati, H. Kumigashira, T. Arima, S. Shin, and I. Matsuda, “Element selectivity in second-harmonic generation of GaFeO3 by a soft-x-ray free-electron laser”, Physical Review Letters. 120, 223902, (2018)

  • Yuta Suzuki, Masato Kotsugi, Hideitsu Hino, Kanta Ono, “Classification of Crystal Structure from X-ray Diffraction Patterns using Machine Learning”, The 13th International Conference on Synchrotron Radiation Instrumentation (SRI 2018), 11-15, Jun. (2018)
  • Yuta Suzuki, Masato Kotsugi, Hideitsu Hino, Kanta Ono, “Estimation of Physical Parameters using Dimensionality Reduction of X-Ray Absorption Spectra”, The 13th International Conference on Synchrotron Radiation Instrumentation (SRI 2018), 11-15, Jun. (2018)
  • 鈴木雄太, 小嗣真人, 日野英逸, 小野寛太, “機械学習を用いたX線回折パターンの分類”, 第73回日本物理学会 春季年次大会, 23, Mar. (2018)
  • 鈴木雄太, 小嗣真人, 日野英逸, 小野寛太, “スペクトルの次元削減によるデータ可視化および物理量推定の検討”, 第65回応用物理学会 春季学術講演会, 20, Mar. (2018)
  • 鈴木雄太, 小嗣真人, 日野英逸, 小野寛太, “X線吸収スペクトルからの物理量の自動抽出”, 第31回日本放射光学会年会・放射光科学合同シンポジウム, 9, Jan. (2018)
  • Yuta Suzuki, Masato Kotsugi, Hideitsu Hino, Kanta Ono, “Comparison of similarity measures in x-ray absorption spectra for automated physical property estimation”, The 8th International Symposium on Surface Science, 23, Oct. (2017)
  • 鈴木雄太, 小嗣真人, “パルスレーザー蒸着(PLD)装置の高度化および金属薄膜における表面モフォロジーの評価”, 第64回応用物理学会春季学術講演会, 17, Mar. (2017)
  • 鈴木雄太, 小嗣真人, “金属超薄膜の作製に向けたパルスレーザー蒸着装置”, 顕微ナノ材料科学研究会・放射光表面科学研究部会 合同シンポジウム, 2, Mar. (2017) The best poster award

Reserch Grants

Honors and Awards

Experience

  • Apr 2022
    -
    Present

    Toyota Motor Corporation

    Researcher


    Machine learning for materials science.

  • Apr 2019
    -
    Mar 2022

    SOKENDAI (The Graduate University for Advanced Studies)

    Doctor of Engineering


    School of High Energy Accelerator Science
    Department of Materials Structure Science
    KEK Ono Laboratory http://ono.kek.jp

  • Mar 2019
    -
    Aug 2019

    OMRON SINIC X Corp.

    Research Internship

  • Apr 2017
    -
    Mar 2019

    Tokyo University of Science

    Master of Engeneering

    Faculty of Industrial Science and Technology
    Department of Materials Science and Technology Kotsugi Laboratory https://www.kotsugi.jp

  • Jun 2017
    -
    Mar 2019

    High Energy Accelerator Research Organization

    Trainee Researcher

    Institute of Materials Structure Science
    Ono Laboratory http://ono.kek.jp

  • Aug 2016

    High Energy Accelerator Research Organization

    Summer Challenge

  • Aug 2015
    -
    Sep 2015

    National Institute for Materials Science

    Research Internship

    Development of a novel catalyst.

  • Apr 2013
    -
    Mar 2017

    Tokyo University of Science

    Bachelor of Engeneering

    Faculty of Industrial Science and Technology
    Department of Materials Science and Technology

Contact

resnant(at)outlook.jp