吉留崇 (Takashi Yoshidome)

東北大学大学院工学研究科応用物理学専攻数理物理学分野准教授

Y. Fukushima and T. Yoshidome (Corresponding author, 学生指導),
“Deep GIST: A Deep-Learning Model for Predicting the Distribution of Hydration Thermodynamics around Proteins”
Journal of Chemical Information and Modeling, accepted for publication (2026).
S. Arai and T. Yoshidome (ポスドク指導),
"PorousGen: An Efficient Algorithm for Generating Porous Structures with Accurate Porosity and Uniform Density Distribution"
Computational Materials Science, Vol. 264, 114478 (2026). [Open access]
Y. Ito and T. Yoshidome (Corresponding author, 学生指導),
“Prediction of the Hydration Structures at the Protein–Protein Interface of Dimers using Deep Learning”
Chemical Physics Letters, Vol. 878, 142372 (2025). [Open access]
K. Kawama, Y. Fukushima, M. Ikeguchi, M. Ohta, and T. Yoshidome (Corresponding author, 学生指導)
"gr Predictor: A Deep-Learning Model For Predicting the Hydration Structure of Proteins",
Journal of Chemical Information and Modeling, Vol. 62, 4460 (2022).
プログラム"gr Predictor"：https://github.com/YoshidomeGroup-Hydration/gr-predictor
小田垣孝、吉留崇、大久保毅、
「現代の物性物理学」(M. L. Cohen and S. G. Louie: Fundamentals of Condensed Matter Physics)
吉岡書店、2021年9月出版 Amazonのページ

Yusaku Fukushima and Takashi Yoshidome（発表者）
“Prediction of Hydration Free Energy Distributions around Proteins using Deep Learning”（Poster, 3/17）
Shota Arai, Yuki Takayama, and Takashi Yoshidome
"Prediction of Gas Diffusion Coefficients Using Manifold Learning and X-ray Ptychography Data" (Poster, 3/18)

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