Matsunaga Laboratory

Day by day our lives, societies, and the world around us are becoming increasingly more rich, comfortable and convenient. Still, the earth faces many challenging environmental problems and complex issues such as aging societies and we have to tackle these head on to solve them.

In the laboratory, we study the structure of materials and their micro and macroscopic properties from electronic, atomic and molecular aspects, and aim to connect this expertise to development of various innovative materials, and become pioneers in the area of materials science.

Parallel Computer

This is a parallel computer used in our laboratory.

Stereo microscopes

These are used to check the conditions of samples. We have one stereo microscopes.

Imaging Box

This enables us to take nice pictures of small and beautiful objects such as crystals or jewelries.

Water Purification System

This enables purification of water.

Low Speed Precision Cutters

These are used for cutting various types of materials with minimal deformation. We have two cutters.

Precision polishing machines

These are used to polish brittle materials. We have six polishing machines.

Ion Milling Systems

These can produce high-quality TEM specimens with electron transparency.

Magnetron Sputter Coater

This enables nanoscale thin film deposition on the surface of samples.

Precision universal testing machine

This is used to deform materials with measuring displacements and loads.

Semiconductor Parameter Analyzer

This is used for electrical characterization of semiconducting or insulating materials.

Low-Noise Vacuum Prober station

This is used to measure electric properties of materials from low temperature to high temperature.

Spectrophotometer

This enables scientific measurement of reflection and transmission properties of samples as a function of wavelength.

Time-resolved Spectroscopy Equipment

This is used to measure weak phosphorescence spectra and the lifetime.

Xenon Light Sources

This is used to irradiate lights of the specific wavelength domain to materials. We have two xenon light sources.

Draft Chamber

This is a local exhaust ventilation, which is used to treat toxic chemical substances.

Laser microscope

This is used for observing surface morphology in samples.

• Atomic and electronic structures of inversion domain boundary in MgO doped AlN,
  D. Kato, B. Feng*, T. Nishi, Y. Noritake, T. Hishida, N. Shibata, K. Matsunaga, Y. Ikuhara,
  Acta Materialia, 281, 120371, 1 Dec. 2024

• Machine learning interatomic potential with DFT accuracy for general grain boundaries in α-Fe,
  K. Ito*, T. Yokoi, K. Hyodo, H. Mori,
  npj Computational Materials, 10, 255, 13 Nov. 2024

• Artificial-neural-network descriptor enhancing accuracy of machine-learning interatomic potential and its application to lattice defects in Si,
  M. Uchida*, T. Yokoi*, Y. Ogura, K. Matsunaga,
  Physical Review Materials, 8 (10), 103805, 21 Oct. 2024

• Multicrystalline informatics: a methodology to advance materials science by unraveling complex phenomena,
  N. Usami*, K. Kutsukake, T. Kojima, H. Kudo, T. Yokoi, Y. Ohno,
  Science and Technology of Advanced Materials, 25 (1), 2396272, Published online: 19 Sep. 2024

• Atomic-structure changes of 30° partial-dislocation cores due to excess carriers in GaP,
  S. Hoshino, S. Oi, Y. Ogura, T. Yokoi, Y. Li, A. Nakamura, K. Matsunaga*,
  Physical Review Materials, 8 (9), 093605, 12 Sep. 2024

• Revealing Atomic Structure of Hybrid Octacalcium-Phosphate Derivative,
  N. Susaki, T. Saito, T. Yokoi, Y. Ogura, K. Matsunaga*, 

  Inorganic Chemistry, 63 (34), 15924 – 15930, Published online 9 Aug. 2024

• Three-Dimensional Atomic Structure of Y-Segregated Grain Boundary in α-Al2O3: a Neural-Network Potential and DFT Calculation,

  T. Yokoi, Y. Nakano, Y. Ogura, K. Matsunaga,

  The 17th International Conference on Intergranular and Interphase Boundaries in Materials (IIB 2024), (Beijing, China)

  8-12 July 2024, Poster

  Excellent Poster Award

• Element-selective structural visualization for the oxygen-induced surface of Nb (110),
  Y. Yasui, K. Matsunaga, K. Sagisaka, Y. Sugimoto, 

  Physical Review B, 109 (19), 195417, 15 May 2024

• Artificial Neural Network Interatomic Potentials Developed for Grain-Boundary Modeling in Al₂O₃ Ceramics,

  K. Matsunaga,

  2024 MRS Spring Meeting & Exhibit, (Seattle, USA)

  22-26 April 2024, Invited

Emergent/Innovative Engineering Building, Furo-chou, Chikusa ku, Nagoya city, Aichi 464-8603

Nagoya University Graduate School of Engineering Department of Materials Science and Engineering

To Higashiyama Campus
From Nagoya Station: Take the Subway Higashiyama Line to Motoyama Sta. (15 minutes), then transfer to the Subway Meijo Line to Nagoya Daigaku Station.