Hatanaka Miho

ハタナカミホ | Hatanaka Miho

Affiliation and department：

Research field (1)： Basic physical chemistry

Research keywords (5)：マテリアルズ・インフォマティクス , ランタノイド , 計算化学 , 量子化学 , 理論化学

Research theme for competitive and other funds (10)：

2023 - 2026 電解発生活性化学種の利用による新物質変換系の構築
2020 - 2024 Infrared emission mechanism of fullerene C60 and its cosmic abundance
2017 - 2022 Elucidation of mechanism and etraction of key for hybrid catalytic systems based on the automated reaction path search method
2018 - 2021 Creation and Development of (sigma + pi) Double Aromatic and Double Delocalized Systems
2015 - 2019 Revolutionizing organic chemistry by utilizing water as solvent

Show all

Papers (56)：

Takayoshi Yoshimura, Hiromoto Kato, Shunto Oikawa, Taichi Inagaki, Tetsunori Sugawara, Tomonori Miyao, Takamitsu Matsubara, Hiroharu Ajiro, Mikiya Fujii, Yu-ya Ohnishi, et al. CopDDB: a descriptor database for copolymers and its application to the machine learning. 2024
Tomonari Wakabayashi, Hal Suzuki, Miho Hatanaka, Hiroyuki Wakabayashi, Takeshi Kodama. Infrared emission spectra of fullerene C60 thin films. Physical Review B. 2024
Tomoya Inoue, Miho Hatanaka, Atsushi Nakajima. Oxidative Activation of Small Aluminum Nanoclusters with Boron Atom Substitution prior to Completing the Endohedral B@Al₁₂^- Superatom. Journal of the American Chemical Society. 2023
Insights into the Luminescence Quantum Yields of Cyclometalated Iridium (III) Complexes: a Density Functional Theory and Machine Learning Approach. 2023
Taichi Inagaki, Miho Hatanaka, Shinji Saito. Anisotropic and Finite Effects on Intermolecular Vibration and Relaxation Dynamics: Low-Frequency Raman Spectroscopy of Water Film and Droplet on Graphene by Molecular Dynamics Simulations. The Journal of Physical Chemistry B. 2023

ｍore...

Books (1)：

Lectures and oral presentations (76)：

自動反応経路探索を用いるハイブリッド触媒系の機構解明と反応性決定因子の抽出
(第4回新学術「ハイブリット触媒」リトリート 2019)
反応経路自動探索を用いる触媒反応の機構解明と機械学習による効率的解析
(日本プロセス化学会2019ウインターシンポジウム 2019)
反応経路自動探索を用いる機構解析と機械学習による効率的材料探索
(有機エレ材研第237回研究会 2019)
Computational Chemistry Meets Machine Learning: A Case Study of Lanthanide Luminescence Material
(6th Autumn School of Chemoinformatics in Nara, 2019 2019)
Combined Usage of Computational Chemistry and Machine Learning: A Case Study on Lanthanide Luminescence
(12th International Symposium on Integrated Synthesis(ISONIS-12) 2019)

ｍore...

Education (4)：

2008 - 2011 Keio University
2006 - 2008 Keio University
2002 - 2006 Keio University Faculty of Science and Technology Department of Chemistry
1999 - 2002 横浜雙葉高等学校

Work history (7)：

2020/04 - 現在 Keio University Faculty of Science and Technology Department of Chemistry
2020/04 - 2021/03 Nara Institute of Science and Technology
2017/04 - 2020/03 Nara Institute of Science and Technology Institute for Research Initiatives, Graduate School of Science and Technology, Data Science Center Associate Professor
2015/12 - 2019/03 Japan Science and Technology Agency
2015/04 - 2017/03 Kindai university

Show all

Awards (10)：

2021/12 - 文部科学省科学技術・学術政策研究所ナイスステップな研究者2021 化学的性質を活かした近似計算方法の開発と応用-機能性材料の理解の深化と効率的設計を目指して-
2021/03 - 日本化学会第9回日本化学会女性化学者奨励賞理論・計算化学による機能性希土類材料の機構解明と分子設計
2019/09 - 分子科学会第12回分子科学会奨励賞理論的材料設計に向けたランタノイド励起状態の近似的記述法の開発
2017/03 - 第11回 PCCP Prize
2013/09 - 分子科学会第7回分子科学討論会(京都)2013 分子科学会優秀講演賞

Show all

Association Membership(s) (5)：

理論化学会 , THE JAPAN SOCIETY OF APPLIED PHYSICS , 日本希土類学会 , JAPAN SOCIETY FOR MOLECULAR SCIENCE , THE CHEMICAL SOCIETY OF JAPAN

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page