Seino Junji

セイノジュンジ | Seino Junji

Affiliation and department：

Research field (1)： Basic physical chemistry

Research keywords (2)： Cheminformatics , Relativistic quantum chemistry

Research theme for competitive and other funds (5)：

Papers (55)：

Hiromi Nakai, Masato Kobayashi, Takeshi Yoshikawa, Junji Seino, Yasuhiro Ikabata, Yoshifumi Nishimura. Divide-and-Conquer Linear-Scaling Quantum Chemical Computations. The Journal of Physical Chemistry A. 2023. 127. 3. 589-618
Chinami Takashima, Junji Seino, Hiromi Nakai. Database-assisted local unitary transformation method for two-electron integrals in two-component relativistic calculations. CHEMICAL PHYSICS LETTERS. 2021. 777
Chinami Takashima, Junji Seino, Hiromi Nakai. Implementation of Picture Change Corrected Density Functional Theory Based on Infinite-Order Two-Component Method to GAMESS Program. JOURNAL OF COMPUTER CHEMISTRY-JAPAN. 2021. 19. 4. 128-130
Yasuhiro Ikabata, Ryo Fujisawa, Junji Seino, Takeshi Yoshikawa, Hiromi Nakai. Machine-learned electron correlation model based on frozen core approximation. JOURNAL OF CHEMICAL PHYSICS. 2020. 153. 18
Mikito Fujinami, Hiroki Maekawara, Ryota Isshiki, Junji Seino, Junichiro Yamaguchi, Hiromi Nakai. Solvent Selection Scheme Using Machine Learning Based on Physicochemical Description of Solvent Molecules: Application to Cyclic Organometallic Reaction. BULLETIN OF THE CHEMICAL SOCIETY OF JAPAN. 2020. 93. 7. 841-845

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MISC (10)：

藤波美起登, 清野淳司, 中井浩巳. 量子化学的記述子を用いた反応予測手法の開発と予測に寄与する記述子の解析. 化学工業. 2019. 70. 31-37
清野淳司. 相対論的量子化学における理論・計算手法の基礎. フロンティア(理論化学会). 2019. 4. 3-20
藤波美起登, 清野淳司, 中井浩巳. 人工知能を用いた化学反応の予測と反応条件最適化. マテリアルズ・インフォマティクスによる材料開発と活用集(技術情報協会)、第8章. 2019. 379-384
藤波美起登, 清野淳司, 中井浩巳. 理論化学とインフォマティクスの融合による反応設計. 化学と工業. 2018. 71. 8
清野淳司, 中井浩巳. インフォマティクスとの融合による理論化学研究. 化学工業. 2018. 69. 1. 53-58

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Lectures and oral presentations (12)：

人工知能(AI)技術と電子状態情報を用いた化学反応予測および反応条件最適化
(R&D支援センター講習会(2回目) 2020)
相対論的量子化学における理論・計算手法の基礎
(第9回量子化学スクール 2019)
Orbital-Free Density Functional Theory Calculation Combined with Semi-Local Machine-Learned Kinetic Energy Density Functional
(The 2nd Global Forum on Advanced Materials and Technologies for Sustainable Development (GFMAT-2) 2019)
人工知能(AI)技術と電子状態情報を用いた化学反応予測および反応条件最適化
(R&D支援センター講習会 2019)
相対論的量子化学における理論・計算手法の基礎
(第8回量子化学スクール 2018)

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Education (3)：

2007 - 2010 Tokyo Metropolitan University Graduate School of Science and Engineering Department of Chemistry
2005 - 2007 Tokyo Metropolitan University Graduate School of Science Graduate School of Science
2000 - 2005 Tokyo Metropolitan University Faculty of Science Department of Chemistry

Professional career (1)：

Work history (6)：

2021/04 - 現在 Waseda University
2020/10 - 2021/03 東京都立大学理学部化学科特任准教授
2017/10 - 2021/03 科学技術振興機構さきがけ研究者
2015/04 - 2020/09 Waseda University Waseda Research Institute for Science and Engineering Junior Researcher (Assistant Professor)
2012/04 - 2015/03 Japan Society for the Promotion of Science Research Fellowship for Young Scientist

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Committee career (4)：

Awards (4)：

Association Membership(s) (5)：

日本化学会情報化学部会 , SOCIETY OF COMPUTER CHEMISTRY, JAPAN , 理論化学会 , JAPAN SOCIETY FOR MOLECULAR SCIENCE , THE CHEMICAL SOCIETY OF JAPAN

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