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HOU, Zhufeng
No longer at NIMS since March 2019

[Research papers] | [Books] | [Proceedings] | [Presentations] | [Misc] | [Published patent applications]

Research papers TSV

  1. Peng Song, Zhufeng Hou, Pedro Baptista de Castro, Kousuke Nakano, Yoshihiko Takano, Ryo Maezono, Kenta Hongo. The Systematic Study on the Stability and Superconductivity of Y‐Mg‐H Compounds under High Pressure. Advanced Theory and Simulations. 5 [3] (2022) 2100364 10.1002/adts.202100364 Open Access
  2. Peng Song, Zhufeng Hou, Pedro Baptista de Castro, Kousuke Nakano, Kenta Hongo, Yoshihiko Takano, Ryo Maezono. High-Pressure Mg–Sc–H Phase Diagram and Its Superconductivity from First-Principles Calculations. The Journal of Physical Chemistry C. 126 [5] (2022) 2747-2755 10.1021/acs.jpcc.1c08743
  1. Ryo Matsumoto, Zhufeng Hou, Masanori Nagao, Shintaro Adachi, Hiroshi Hara, Hiromi Tanaka, Kazuki Nakamura, Ryo Murakami, Sayaka Yamamoto, Hiroyuki Takeya, Tetsuo Irifune, Kiyoyuki Terakura, Yoshihiko Takano. Data-driven exploration of new pressure-induced superconductivity in PbBi2Te4. Science and Technology of Advanced Materials. 19 [1] (2018) 909-916 10.1080/14686996.2018.1548885 Open Access
  2. Xiuling Li, Zhufeng Hou, Shoushuai Gao, Yu Zeng, Jianping Ao, Zhiqiang Zhou, Bo Da, Wei Liu, Yun Sun, Yi Zhang. Efficient Optimization of the Performance of Mn2+ -Doped Kesterite Solar Cell: Machine Learning Aided Synthesis of High Efficient Cu2 (Mn,Zn)Sn(S,Se)4 Solar Cells. Solar RRL. 2 [12] (2018) 1800198 10.1002/solr.201800198
  3. Yue Xie, Zhi-Wen Wang, Tian-Yuan Zhu, Da-Jun Shu, Zhu-Feng Hou, Kiyoyuki Terakura. Breaking the scaling relations for oxygen reduction reaction on nitrogen-doped graphene by tensile strain. Carbon. 139 (2018) 129-136 10.1016/j.carbon.2018.06.026
  4. Ryo Matsumoto, Zhufeng Hou, Hiroshi Hara, Shintaro Adachi, Hiroyuki Takeya, Tetsuo Irifune, Kiyoyuki Terakura, Yoshihiko Takano. Two pressure-induced superconducting transitions in SnBi2Se4 explored by data-driven materials search: new approach to developing novel functional materials including thermoelectric and superconducting materials. Applied Physics Express. 11 [9] (2018) 093101 10.7567/apex.11.093101
  5. Wei Li, Run Long, Zhufeng Hou, Jianfeng Tang, Oleg V. Prezhdo. Influence of Encapsulated Water on Luminescence Energy, Line Width, and Lifetime of Carbon Nanotubes: Time Domain Ab Initio Analysis. The Journal of Physical Chemistry Letters. 9 [14] (2018) 4006-4013 10.1021/acs.jpclett.8b02049
  6. Thaer M. Dieb, Zhufeng Hou, Koji Tsuda. Structure prediction of boron-doped graphene by machine learning. The Journal of Chemical Physics. 148 [24] (2018) 241716 10.1063/1.5018065 Open Access
  1. Thaer M. Dieb, Shenghong Ju, Kazuki Yoshizoe, Zhufeng Hou, Junichiro Shiomi, Koji Tsuda. MDTS: automatic complex materials design using Monte Carlo tree search. Science and Technology of Advanced Materials. 18 [1] (2017) 498-503 10.1080/14686996.2017.1344083 Open Access
  2. Shenghong Ju, Takuma Shiga, Lei Feng, Zhufeng Hou, Koji Tsuda, Junichiro Shiomi. Designing Nanostructures for Phonon Transport via Bayesian Optimization. Physical Review X. 7 [2] (2017) 021024 10.1103/physrevx.7.021024 Open Access

Books TSV

Proceedings TSV

Presentations TSV

  1. MATSUMOTO, Ryo, HOU, Zhufeng, HARA, Hiroshi, 長尾 雅則, ADACHI, Shintaro, Hiromi Tanaka, Tetsuo Irifune, TAKEYA, Hiroyuki, TERAKURA, Kiyoyuki, TAKANO, Yoshihiko. Discovery of New Pressure-induced Superconductors Explored by Data-driven Approach. ISS2018. 2018
  2. 高際 良樹, 磯田 幸宏, 後藤 真宏, 篠原 嘉一, ホー ズーフォン, 徐 一斌, 津田宏治. Development of Low-cost and Non-toxic Al2Fe3Si3 Thermoelectric Material: Experiment, Theoretical Calculation, and Machine Learning Prediction. 2018 MRS Fall Meeting & Exhibit. 2018
  3. 大塚 秀幸, ホー ズーフォン, 津﨑 兼彰. 鉄中における炭素原子の分布とエネルギー変化に関する第一原理計算. 2018年日本金属学会春期講演大会. 2018
  4. 高際 良樹, 磯田 幸宏, 後藤 真宏, 篠原 嘉一, ホー ズーフォン, 徐 一斌, 津田宏治. IoTデバイス用自立電源に向けたAl-Fe-Si系熱電材料の基礎研究: 実験・計算科学・機械学習の協働. 第79回応用物理学会秋季学術講演会. 2018
  5. 松本 凌, ホー ズーフォン, 原 裕, 長尾 雅則, 足立 伸太郎, 仲村 和貴, 村上 諒, 山本 紗矢香, 田中 博美, 齋藤 嘉人, 山下 愛智, 入舩 徹男, 竹屋 浩幸, 寺倉 清之, 高野 義彦. データ駆動的手法を用いた圧力誘起超伝導体の探索. 第79回応用物理学会 2018秋. 2018
  6. 高際 良樹, 磯田 幸宏, 後藤 真宏, 篠原 嘉一, ホー ズーフォン, 徐 一斌, 津田宏治. 実験・計算科学・機械学習の協働による新規熱電材料開発. 第15回日本熱電学会学術講演会. 2018
  7. 松本 凌, ホー ズーフォン, 原 裕, 長尾 雅則, 足立 伸太郎, 宋 鵬, 齋藤 嘉人, 山下 愛智, 田中 博美, 入舩 徹男, 竹屋 浩幸, 寺倉 清之, 高野 義彦. データ駆動的手法を用いた新規超伝導体の探索. 日本物理学会 2018秋. 2018
  8. ホー ズーフォン, 深澤 太郎, 原嶋 庸介, 寺倉 清之, 三宅 隆. First-Principles Study on Stability and Magnetism of ZFe12 (Z from K to Rn) Compounds. REPM 2018. 2018
  9. 達 博, ホー ズーフォン, 劉 江偉, 吉川 英樹, 田沼 繁夫, zjding. Virtual Substrate Method for Nanomaterials Characterization. MPS-2018. 2018 Invited
  10. ホー ズーフォン. The application of Bayesian optimization in materials science from structure search to materials synthesis. International Workshop on Recent Development of Perovskite Solar. 2018 Invited
  11. DIEB, Sae, JU Shenghong, HOU, Zhufeng, SHIOMI, Junichiro, TSUDA, Koji. Materials Structure Design using Monte Carlo Tree Search with Bayesian rollout. ERATO Minato Discrete Manipulation System Project, Early Summer. 2018
  12. 大塚 秀幸, ホー ズーフォン, 津﨑 兼彰. T-siteに炭素原子が存在するBCC-Feの第一原理計算-形成エンタルピーと軸比-. 日本鉄鋼協会2018春季講演大会. 2018
  13. 大塚 秀幸, ホー ズーフォン, 津﨑 兼彰. Fe-Cにおける原子間の化学結合とCの機能に関する第一原理計算. 日本鉄鋼協会第175回春季講演大会. 2018 Invited
  14. 大塚 秀幸, ホー ズーフォン, 津﨑 兼彰. T-siteに炭素原子が存在するBCC-Feの第一原理計算-Fe-C原子間の結合性-. 日本鉄鋼協会2018年春季講演大会. 2018
  15. X Liu, ホー ズーフォン, 吉川 英樹, 田沼 繁夫, ZJ Ding, 達 博. Predict Electron IMFP Using Machine Learning. MI・計測 合同シンポジウム. 2018
  16. 達 博, ホー ズーフォン, 劉 江偉, 吉川 英樹, 田沼 繁夫. Data-driven analysis method. MI・計測 合同シンポジウム. 2018

Published patent applications TSV

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