| Budget Amount *help |
¥44,850,000 (Direct Cost: ¥34,500,000、Indirect Cost: ¥10,350,000)
Fiscal Year 2020: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2019: ¥19,110,000 (Direct Cost: ¥14,700,000、Indirect Cost: ¥4,410,000)
Fiscal Year 2018: ¥21,450,000 (Direct Cost: ¥16,500,000、Indirect Cost: ¥4,950,000)
|
|---|
| Outline of Final Research Achievements |
In order to develop a 3-dimensional local structure analysis method using an electron nano-probe, a new system was developed to map energy-filtered convergent-beam electron diffraction (CBED) data with a high speed and a high angular resolution. Deep neural network was successfully applied for accelerating dynamical diffraction intensity calculations of large-angle CBED (LACBED) patterns. For obtaining structural information in depth-direction, the scattering matrix method was implemented in our dynamical diffraction simulation code MBFIT for describing distribution of local structures in the electron beam direction. This newly developed analysis method was applied to local crystal structure analysis of a ferroelectric twin boundary in CaTiO3, visualization of ferroaxial domains in NiTiO3, electrostatic potential and electron density analysis of quantum paraelectric phase of KTaO3, local structure analysis of relaxor-like nano-domains in BaTiO3 under applying electric field.
|
