In the Department of Theoretical Nanotechnology, we strive to understand the properties of materials at the nanoscale and employ computer simulations and physical theories to discover methods to enhance their properties. Additionally, we are also developing new simulation techniques using data science approaches, including machine learning. Recent research topics include the study of amorphous material properties using topological data analysis, the development of high-efficiency simulation methods using machine learning potentials, and theoretical research on spintronics. We also actively collaborate with other theoretical and experimental groups.
Staff
September 2022 ~ Present: | Professor, Nano-Technology Center for SANKEN, Osaka University |
April 2019 ~ September 2022: | Associate Professor, Institute for Molecular Science |
September 2022 ~ March 2023: | Professor (Concurrently), Institute for Molecular Science |
October 2015 ~ March 2019: | Lecturer, Department of Materials Engineering, Graduate School of Engineering, University of Tokyo |
December 2013 ~ September 2015: | Assistant Professor, Department of Materials Engineering, Graduate School of Engineering, University of Tokyo |
April 2011 ~ December 2013: | Special Postdoctoral Researcher, RIKEN |
April 2010 ~ March 2011: | JSPS (Japan Society for the Promotion of Science) Research Fellow, Graduate School of Engineering, Osaka University |
Current Research Topics
- Persistent homology-based descriptor for machine-learning potential of amorphous structures
E. Minamitani, I. Obayashi, K. Shimizu, S. Watanabe, J. Chem. Phys. 159, 084101 August 22 2023
- Topological descriptor of thermal conductivity in amorphous Si
Emi Minamitani, Takuma Shiga, Makoto Kashiwagi, Ippei Obayashi, J. Chem. Phys. 156, 244502, June 23 2022
- Ab initio analysis for the initial process of Joule heating in semiconductor
Emi Minamitani, Phys. Rev. B, Phys. Rev. B 104, 085202, 16 August 2021
- Spin-orbital Yu-Shiba-Rusinov states in single Kondo molecular magnet, Hui-Nan Xia, Emi Minamitani, Rok Žitko, Zhen-Yu Liu, Xin Liao, Min Cai, Zi-Heng Ling, Wen-Hao Zhang, Svetlana Klyatskaya, Mario Ruben, Ying-Shuang Fu, Nat. Commun. 13, 6388, 27 October 2022