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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Program search result : Kataoka Sho : 4 programs

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Authors field exact matches “Kataoka Sho”; 4 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
10:4011:00
   Chair: Kataoka Sho
BA106[Requested talk] Development of NH3 synthesis reactor with enhanced NH3 productivity by splitting feed gas supply
(Toyota Central R&D Lab.) *(Reg)Goto Yoshihiro, (Reg)Kikugawa Masashi, (Cor)Yamazaki Kiyoshi, (Cor)Aoki Masakazu, (Cor)Baba Naoki, (Toyota Motor) Sato Akinori, (AIST) Manaka Yuichi, Nanba Tetsuya, (Tokyo Tech) (Reg)Matsumoto Hideyuki, (Reg)Ookawara Shinichi
Ammonia synthesis
Ru catalyst
H2/N2 ratio
SY-64123
Day 1
14:0014:20
DC116Machine Learning-based Multi-Objective Optimization for CO2 Membrane Separation Process
(AIST) *(Reg)Hara Nobuo, (Reg)Taniguchi Satoshi, (Reg)Yamaki Takehiro, (Reg)Nguyen Thuy, (Reg)Kataoka Sho
multi-objective
machine learning
CO2 membrane separation
SY-60258
Day 1
15:2015:40
BA120Design of two-stage membrane separation system based on cost and CO2 emission for propylene-propane mixture
(AIST) *(Reg)Yamaki Takehiro, (Reg)Nguyen Thuy, (Reg)Hara Nobuo, (Reg)Taniguchi Satoshi, (Reg)Kataoka Sho
Membrane separation
Total annual cost
CO2 emission
SY-64332
Day 2
10:4011:00
BA206Machine Learning-based Multi-Objective Optimization for CO2 Absorption Process
(AIST) *(Reg)Hara Nobuo, (Reg)Taniguchi Satoshi, (Reg)Yamaki Takehiro, (Reg)Nguyen Thuy, (Reg)Kataoka Sho
multi-objective
machine learning
CO2 absorption
SY-65253

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SCEJ 53rd Autumn Meeting (Nagano, 2022)


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