Rchr
J-GLOBAL ID：202201000046281331   Update date: Mar. 30, 2024

Doi Hideo

ドイ ヒデオ | Doi Hideo
Research keywords  (2)： molecular simulation ,  computational chemistry
Papers (35)：
  • Sota Matsuoka, Kota Sakakura, Yoshinobu Akinaga, Kazuki Akisawa, Koji Okuwaki, Hideo Doi, Yuji Mochizuki. Enhancement of energy decomposition analysis in fragment molecular orbital calculations. Journal of Computational Chemistry. 2023
  • Koji Okuwaki, Hideo Doi, Taku Ozawa, Yuji Mochizuki. Development of reverse mapping system bridging dissipative particle dynamics and fragment molecular orbital calculation. Japanese Journal of Applied Physics. 2023
  • Yusuke Tachino, Koji Okuwaki, Hideo Doi, Kazuki Akisawa, Yuji Mochizuki. Dissipative particle dynamics simulation for peptoid nanosheet with non-empirical parameter set. Japanese Journal of Applied Physics. 2023
  • Hideo Doi, Sota Matsuoka, Koji Okuwaki, Ryo Hatada, Soujiro Minami, Ryosuke Suhara, Yuji Mochizuki. Machine learning to improve efficiency of non-empirical interaction parameter for dissipative particle dynamics (DPD) simulation. Japanese Journal of Applied Physics. 2023
  • Yusuke TACHINO, Hideo DOI, Koji OKUWAKI, Yoshinori HIRANO, Yuji MOCHIZUKI. タンパク質に関する FMO-DPD シミュレーション用パラメータ算定と試行. Journal of Computer Chemistry, Japan. 2023. 22. 2. 15-17
ｍore...
MISC (12)：
  • 松岡壮太, 柿沼紗也果, 奥脇弘次, 土居英男, 望月祐志. FMODBからのデータ取得用Pythonスクリプトの開発. 2024
  • Yuji MOCHIZUKI, Tatsuya NAKANO, Kota SAKAKURA, Koji OKUWAKI, Hideo DOI, Toshihiro KATO, Hiroyuki TAKIZAWA, Akira NARUSE, Satoshi OHSHIMA, Tetsuya HOSHINO, et al. Development Status of ABINIT-MP in 2023. J. Comp. Chem. Jpn. 2024. 23. 1. 4-8
  • MOCHIZUKI Yuji, NAKANO Tatsuya, SAKAKURA Kota, WATANABE Hiromasa, SATO Shinya, OKUWAKI Koji, AKISAWA Kazuki, DOI Hideo, OHSHIMA Satoshi, KATAGIRI Takahiro. FMOプログラムABINIT-MPの整備状況2022. J. Comp. Chem. Jpn. 2023. 21. 4. 106-110
  • 奥脇弘次, 新庄永治, 西田瑠花, 加藤幸一郎, 土屋裕大朗, 土居英男, 望月祐志, 望月祐志, 福澤薫, 福澤薫, et al. Simulation of Lipid Membrane, Cholesterol, and Proteins using FMO-DPD Method. 応用物理学会春季学術講演会講演予稿集(CD-ROM). 2020. 67th
  • 奥脇弘次, 新庄英治, 土居英男, 望月祐志, 望月祐志, 福澤薫, 福澤薫, 米持悦生. FMO計算に基づく脂質二重膜,タンパク質の非経験的粗視化シミュレーションの展開. 応用物理学会春季学術講演会講演予稿集(CD-ROM). 2019. 66th
ｍore...
Lectures and oral presentations  (4)：
  • Non-Empirical calculation of parameters for DPD simulation with the aid of machine learning
    (2023)
  • Improving Efficiency of Non-Empirical Calculation of Parameters for DPD Simulation by Machine Learning
    (2023)
  • Parameter development for DPD simulation of microdomain in lipid bilayers with effective parameter based on fragment molecular orbital calculation
    (2023)
  • DPD simulation of microdomain in lipid bilayers with effective parameter based on fragment molecular orbital calculation
    (The 83rd JSAP Autumn Meeting 2022 2022)
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