|Budget Amount *help
¥150,930,000 (Direct Cost: ¥116,100,000、Indirect Cost: ¥34,830,000)
Fiscal Year 2017: ¥15,860,000 (Direct Cost: ¥12,200,000、Indirect Cost: ¥3,660,000)
Fiscal Year 2016: ¥31,590,000 (Direct Cost: ¥24,300,000、Indirect Cost: ¥7,290,000)
Fiscal Year 2015: ¥31,460,000 (Direct Cost: ¥24,200,000、Indirect Cost: ¥7,260,000)
Fiscal Year 2014: ¥28,600,000 (Direct Cost: ¥22,000,000、Indirect Cost: ¥6,600,000)
Fiscal Year 2013: ¥43,420,000 (Direct Cost: ¥33,400,000、Indirect Cost: ¥10,020,000)
|Outline of Final Research Achievements
In the present study we aimed to develop novel methods that enable us to analyze and visualize the localized chemical states, thereby applying them to real materials analysis, using transmission electron microscopy and associated spectroscopic methods.
In particular, we have established the scheme where a large size of datasets are collected as a function of spatial coordinates or diffraction condition by scanning/rocking a fine-focused electron beam on a sample, followed by applying machine learning techniques to the so-called 'big data' obtained to allows us to extract the embedded chemical states.