Fundamental Technology

Computational Science Technology

Use computers to predict material properties and identify principles.

Molecular Simulation: Technology that calculates molecular behaviors to predict the physical properties of materials and speculate their influence factors

Example: Adhesive Energy Calculation

Adhesive energy between resins and substrate interfaces is predicted by molecular dynamics.
The influence factors are clarified by snapshot analysis and so on.

Calculated adhesive energy

Analysis

CAE(Computer Aided Engineering)

Efficiency of development process and performance prediction

CAE contributes to efficiency of development process and performance prediction by correlation of CAE results with physical test results.
Computational Science Technology: Use computers to predict material properties and identify principles.

Efficiency of development process

Performance prediction

Materials Informatics: Data-driven material design approach

Example：Simultaneous optimization of the combination and composition ratio of raw materials

A deep learning-based Bayesian optimization method that can handle both composition ratio information and multiple molecular structures achieved maximization of the adhesives strength of films much faster than human experts.

Simultaneous optimization of the combination and composition ratio of raw materials

Analysis Technology

Example：TEM analysis of nano-defects in aluminum alloy

Compressor, Suspension, Cooling devises for Automobile

Atomic Resolution Analytical Electron Microscope “NEOARM”

HAADF-STEM Image

High Resolution STEM-EDS Elemental Mapping Images

Example：Chemical mapping analysis of binder polymer on LIB electrode / Raman Spectroscopy

Lithium-ion batteries(LIB) electrodes need a binder, but it also increases DC resistance. The relationship between binder distribution and DC resistance was confirmed by Raman mapping analysis.

Example：Applying X-ray CT / 3D image analysis on LIB electrode

The porous structures in LIB　electrode plays roles as pathways of Li ions, and thus has important effects on electrical properties. X-ray CT and 3D image analysis visualized and quantified the porous structures, and proved the mechanism of improving the LIB characteristics.