Hara Nobuo - Program search result - SCEJ 89th Annual Meeting (Sakai, 2024)

`SCEJ 89th Annual Meeting (Sakai, 2024)`

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Program search result : Hara Nobuo : 4 programs

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Authors field exact matches “Hara Nobuo”; 4 programs are found.
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Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Day 1 14:20– 14:40	K117	Design and Optimization of an Integrated CO₂ Capture, Utilization and Storage System for Large-scale Removal of CO₂ emissions (AIST) *(Reg)Nguyen Thuy, Taniguchi Satoshi, (Reg)Yamaki Takehiro, (Reg)Hara Nobuo, (Reg)Kataoka Sho	integrated CCUS system large-scale CO2 emission sources process design and optimization	6-b	359
Day 2 9:20– 10:20	Chair: Hara Nobuo
	G202	Numerical Study of Concentration Process of Aqueous Organic Solvent Solutions by Osmotically Assisted Reverse Osmosis (OARO) (Okayama U.) *(Reg)Mino Yasushi, (Kobe U.) (Reg)Kumagai Kazuo, (Reg)Matsuyama Hideto	Osmotically Assisted Reverse Osmosis Aqueous Organic Solvent Concentration Process	4-a	241
	G203	Breaking through organic solvent reverse osmosis limitations: Unveiling the role of membrane-solvent interaction in polar/non-polar separations (Kobe U.) *(Stu)Fu Wenming, Hu Mengyang, Matsuyama Hideto	Prganic solvent reverse osmosis Polyamide membrane Surface repair engineering	4-a	566
	G204	Concentration of organic solvent aqueous solutions by RO via organosilica membranes modified by atmospheric-pressure plasma (Hiroshima U.) *(Stu)Aoyama Shun, (Reg)Nagasawa Hiroki, (Reg)Moriyama Norihiro, (Reg)Kanezashi Masakoto, (Reg)Tsuru Toshinori	Reverse osmosis membrane plasma	4-a	72
Day 2 14:00– 14:40	Chair: Hara Nobuo, Oishi Takuya
	K216	Model-based design framework for antibody drug production processes considering perspectives from cell characteristics to social requirements (UTokyo) *(Stu)Okamura K., (Int)Badr S., (Reg)Sugiyama H.	Biopharmaceuticals Process design IDEF0	6-g	92
	K217	Coarse-Grained Force Field Parametrization for Polymers Using Machine Learning (Toyota Motor) *(Reg)Morishita Tetsunori, (Massachusetts Inst. Tech.) Leon Pablo, Gomez-Bombarelli Rafael	Coarse-Grained Force Field Machine Learning	6-g	220
Day 2 16:20– 16:40	G223	Power requirement and membrane area on the bi-objective optimization of CO₂ membrane separation process (AIST) *(Reg)Hara Nobuo, (Reg)Taniguchi Satoshi, (Reg)Yamaki Takehiro, (Reg)Nguyen Thuy, (Reg)Kataoka Sho	CCUS Bi-objective optimization CO2 emissions	4-a	186

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SCEJ 89th Annual Meeting (Sakai, 2024)

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