Teruyasu MizoguchiProfessor
- Telephone
- +81-3-5452-6320
- FAX
- +81-3-5452-6319
- teru[at]iis.u-tokyo.ac.jp
* In your correspondence, please replace [at] with "@" in the above email address.
- Laboratory
- https://www.edge.iis.u-tokyo.ac.jp/
- Research Field
- materials design, structure-property relationship, quantum simulation, atomic resolution analysis, machine learning, materials informatics
Research
Our research interest is the structure-property relationships of materials. Paving the way for the “Materials Design” is
our aim. For the purpose, we are using microscopy, spectroscopy, calculation, and informatics techniques. We are doing
following researches:
1. Basics and Applications of “Ultimate Analysis”
Since electron energy loss spectroscopy (EELS) observed by scanning transmission electron microscopy (STEM) can
achieve the atomic and electronic structure analysis of single atomic column, STEM-EELS has been known as “The
Ultimate Analysis”. We are doing theoretical and experimental studies of EELS and applying this “Ultimate analysis”
for materials science.
2. Formation, dynamics, and prediction of lattice defect
Lattice defects, such as vacancy, impurity, dislocation, and interface, play crucial role for the materials properties.
We are investigating their atomic arrangement and chemical bonding using atomic reoslution microscopy, spectroscopy,
theretical calculation, and informatics techniques.
Selected Publications
- PY. Chen, K. Shibata, K. Hagita, T. Miyata, and T. Mizoguchi, “Prediction of the Ground State Electronic Structure from Core-loss Spectra of Organic Molecules by Machine Learning”, J. Phys. Chem. Lett., 14 (2023) 4858-4865.
- K. Kikumasa, S. Kiyohara, K. Shibata, and T. Mizoguchi, “Quantification of the Properties of Organic Molecules Using Core-Loss Spectra as Neural Network Descriptors”, Advanced Intelligent Systems, 4 (2022) 2100103-1-10.
- K. Liao, K. Shibata,and T. Mizoguchi, “Nanoscale Investigation of Local Thermal Expansion at SrTiO3 Grain Boundaries by Electron Energy Loss Spectroscopy”, Nano Letters, 21 (2021) 10416-10422.
- S. Kiyohara, M. Tsubaki, and T. Mizoguchi, “Learning excited states from ground states by using an artificial neural network”, npj Comp. Mater., 6 (2020) 68-1-6
- K. Liao, A. Masuno, A. Taguchi, H. Moriwake, H. Inoue, and T. Mizoguchi, “Revealing Spatial Distribution of Al-Coordinated Species in a Phase-Separated Aluminosilicate Glass by STEM-EELS”, J. Phys. Chem. Lett., 11 (2020) 9637–9642.
