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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Program search result : Yamaki Takehiro : 4 programs

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Authors field exact matches “Yamaki Takehiro”; 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
13:2014:20
   Chair: Yamaki Takehiro
BA114Kinetic modelling of nucleophilic aromatic substitution reaction in drug substance synthesis
(U. Tokyo) *(Stu)Kim Junu, (Reg)Hayashi Yusuke, (Reg)Badr Sara, Okamoto Kazuya, (Pharmira) Hakogi Toshikazu, (Reg)Furukawa Haruo, (Shionogi Pharma) (Reg)Yoshikawa Satoshi, (Reg)Nakanishi Hayao, (U. Tokyo) (Reg)Sugiyama Hirokazu
Nucleophilic aromatic substitution
Kinetic study
Reaction pathway
SY-64577
BA115Simulation of monoclonal antibody production processes and application to design
(U. Tokyo) *(Stu)Shigeyama Akinori, (Int)Badr Sara, (Reg·SPCE)Yamada Akira, (Reg)Sugiyama Hirokazu
Chromatography
Cultivation
Therapeutec Protein
SY-64645
BA116Design of green ammonia synthesis process applying dynamic process simulation and meteorological data
(NIT Nagaoka) *(Reg)Atsumi Ryosuke, (Tokyo Tech) (Reg)Matsumoto Hideyuki, (NIT Nagaoka) Hada Yasuyuki
Renewable hydrogen
Green ammonia
Dynamic simulation
SY-64589
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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