| Budget Amount *help |
¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2020: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2019: ¥7,670,000 (Direct Cost: ¥5,900,000、Indirect Cost: ¥1,770,000)
Fiscal Year 2018: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
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| Outline of Final Research Achievements |
Modeling approaches were developed applying data science techniques for process development and process intensification in chemical engineering. In particular, a sequential Monte Carlo method with likelihood tempering which allows parallel computation was developed. Furthermore, chromatographic separation and reactive chromatographic separation experiments were performed, where the obtained data were utilized to demonstrate the proposed approach.
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