Hall DC - Hall and day program - SCEJ 53rd Autumn Meeting (Nagano, 2022)

`SCEJ 53rd Autumn Meeting (Nagano, 2022)`

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Hall and day program : Hall DC

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Hall DC(C3 1F 102)

Hall DC, Day 1 | Hall DC, Day 2 | Hall DC, Day 3
SY-60 | ST-21

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Hall DC(C3 1F 102), Day 1(Sep. 14)
SY-60 [Symposium of Division of Separation Processes] (4) Recent Progress of Membrane Technologies and Membrane Separation Processes
(9:00–10:20) (Chair: Ikeda Ayumi, Kanezashi Masakoto)
9:00– 9:20	DC101	Organic solvent reverse osmosis separation of TiO₂-ZrO₂-organic chelating ligand (OCL) composite membranes (Kobe U./MaF Tech C.) *(Stu)Kitamura Shunsuke, (Reg)Yoshioka Tomohisa, (Reg)Nakagawa Keizo, Kitagawa Tooru, Okamoto Yasunao, (Reg)Matsuoka Atsushi, (Reg)Kamio Eiji, (Reg)Matsuyama Hideto	TiO2-ZrO2 OSRO OCL	SY-60	648
9:20– 9:40	DC102	[Featured presentation] Fabrication of composite membrane using fluorine containing polymer for organic solvent reverse osmosis and consideration of permeation mechanism (Kobe U./MaF Tech C.) *(Stu)Yoshiwaka Y., (Reg)Shintani T., (Reg)Kitagawa T., (Reg)Nakagawa K., (Reg)Matsuoka A., (Reg)Kamio E., (Reg)Matsuyama H.	Fluorine containing polymer Hansen solubility parameter organic solvent reverse osmosis	SY-60	651
9:40– 10:00	DC103	Ceramic-supported polyamide thin film composites membrane for separation of high temperature fluids or organic solvents (Kobe U./MaF Tech C.) *(Stu)Takahashi Ryosuke, (Reg)Yoshioka Tomohisa, (Reg)Nakagawa Keizo, Kitagawa Tooru, Okamoto Yasunao, (Reg)Matsuoka Atsushi, (Reg)Kamio Eiji, (Reg)Matsuyama Hideto	Ceramic PA-TFC High temperature	SY-60	431
10:00– 10:20	DC104	Forward osmosis performance in dehydration of fruit juice using zeolite membrane (Waseda U.) *(Stu)Negishi Eri, (Reg)Sakai Motomu, (Waseda U./ WISE) (Reg)Matsukata Masahiko	zeolite membrane forward osmosis dehydration	SY-60	705
10:20– 10:40		Break
(10:40–12:00) (Chair: Sakai Motomu, Araki Sadao)
10:40– 11:00	DC106	Self-assembly induced interfacial polymerization toward ultra-permeable desalination membranes (Kobe U.) *(Reg)Mai Zhaohuan, (Stu)Shen Qin, (Reg)Yoshioka Tomohisa, (Reg)Matsuyama Hideto	interfacial polymerization polyamide thin-film composite membrane multiscale simulation	SY-60	310
11:00– 11:20	DC107	Molecular Theory Study on Water Content and Water Microstructure in Polyamide RO Membrane (Kogakuin U.) *(Stu)Ozeki Yuto, (Stu)Hirosawa Fumiya, (Stu)Higuchi Hayato, (Reg)Miyagawa Masaya, (Reg)Takaba Hiromitsu	Molecular Dynamics Diffusion Water Condition	SY-60	795
11:20– 11:40	DC108	Study on fouling mechanisms of foulants on polyamide membranes using molecular simulation (Kobe U./MaF Tech C.) *(Stu)Kinooka K., (Reg)Yoshioka T., (Reg)Nakagawa K., (Reg)Kitagawa T., (Reg)Okamoto Y., (Reg)Matsuoka A., (Reg)Kamio E., (Reg)Matsuyama H., (Kurita Water Industries) (Cor)Fujimura Y., (Reg)Kawakatsu T.	Molecular dynamics simulation Polyamide membrane Fouling	SY-60	415
11:40– 12:00	DC109	Simulation of Dilute Nitrogen Compound Separation in wastewater using Osmotically Assisted Reverse Osmosis (Yamagata U.) *(Stu)Yoneyama Shuya, Ogasawara Yuki, (Reg)Suzuki Yasuhiko, (Reg)Akimoto Ryosuke, (Reg)Nakaiwa Masaru, (Reg)Matsuda Keigo, (Kobe U.) (Reg)Hasegawa Susumu, (Reg)Nakagawa Keizo, (Reg)Matsuyama Hideto	Separation Membrane Osmotically Assisted Reverse Osmosis	SY-60	196
(13:00–14:40) (Chair: Yoshimune Miki, Seshimo Masahiro)
13:00– 13:20	DC113	Synthesis of Pd nanoparticle using Si-H groups and fabrication of hydrogen separation membrane (Hiroshima U.) *(Stu)Sonoda Masahiro, (Reg)Kanezashi Masakoto, (Reg)Nagasawa Hiroki, (Reg)Tsuru Toshinori	Si-H group Pd nano particles hydrogen separation	SY-60	433
13:20– 13:40	DC114	Effect of Ti/Si ratio on H₂ permeation property of porous TiO₂-SiO₂-organic chelate ligand composite membranes (Kobe U.) *(Stu)Tachi Etsuko, (Stu)Fujiki Takaya, (Reg)Yoshioka Tomohisa, (Reg)Nakagawa Keizo, Kitagawa Tooru, Okamoto Yasunao, (Reg)Matsuoka Atsushi, (Reg)Kamio Eiji, (Reg)Matsuyama Hideto	hydrogen TiO2-SiO2 organic chelating ligand	SY-60	490
13:40– 14:00	DC115	Design and economic analysis of oxygen enriched air production process using membrane separation (Yamagata U.) *(Stu)Miyazaki Shoichi, (Reg)Matsuda Keigo, (Waseda U.) (Reg)Sakai Motomu, (Reg)Matsukata Masahiko	Separation Membrane Oxygen enriched air	SY-60	170
14:00– 14:20	DC116	Machine 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-60	258
14:20– 14:40	DC117	Fabrication of sol-gel derived Yttrium-doped silica-zirconia membrane and evaluation of structure stability (Hiroshima U.) *(Stu)Takahashi Yuya, (Reg)Kanezashi Masakoto, (Reg)Nagasawa Hiroki, (Reg)Tsuru Toshinori	Silica-zirconia Yttrium doping Thermal/hydrothermal stability	SY-60	510
14:40– 15:00		Break
(15:00–16:00) (Chair: Tanaka Shunsuke, Nakagawa Keizo)
15:00– 15:20	DC119	Fabrication of dehumidifying membranes using cellulose nanofibers and evaluation of their permeation properties (Hiroshima U.) *(Stu)Doi Takamasa, (Reg)Nagasawa Hiroki, (Reg)Kanezashi Masakoto, (Reg)Tsuru Toshinori	vapor separation dehumidifying membrane cellulose nanofiber	SY-60	345
15:20– 15:40	DC120	Metal ion-doped organosilica membranes ~Network structure and humid-gas separation properties~ (Hiroshima U.) *(Stu)Ike Misato, (Reg)Moriyama Norihiro, (Reg)Nagasawa Hiroki, (Reg)Kanezashi Masakoto, (Reg)Tsuru Toshinori	Metal ion Organosilica Steam	SY-60	346
15:40– 16:00	DC121	Sub-nanoporous SiC membranes derived from Allylhydridopolycarbosilane (AHPCS) : membrane preparation and permeation properties of steam (Hiroshima U.) *(Stu·PCEF)Tanabe Daiki, (Reg)Nagasawa Hiroki, (Reg)Kanezashi Masakoto, (Reg)Tsuru Toshinori	SiC membrane Hydrothermal stability AHPCS	SY-60	615
(16:00–17:00) (Chair: Hara Nobuo, Taniguchi Ikuo)
16:00– 16:20	DC122	Modeling of graphene oxide stacked membrane structure and gas permeation simulation by molecular dynamics method (Kobe U./MaF Tech C.) *(Stu)Iwamoto Miku, (Reg)Yoshioka Tomohisa, (Reg)Nakagawa Keizo, (Reg)Kitagawa Tooru, (Reg)Okamoto Yasunao, (Reg)Matsuoka Atsushi, (Reg)Kamio Eiji, (Reg)Matsuyama Hideto	Graphene oxide Molecular dynamics simulation Gas permeation	SY-60	495
16:20– 16:40	DC123	New pore-flow model based on chemical potential distribution: Permeation analysis of molecules of different adsorption properties (Hiroshima U.) *(Reg·PCEF)Moriyama Norihiro, (Reg)Nagasawa Hiroki, (Reg)Kanezashi Masakoto, (Reg)Tsuru Toshinori	Permeation model Vapor permeation Gas permeation	SY-60	474
16:40– 17:00	DC124	Permeation property of organosilica membranes with well-controlled pore size and affinity by atmospheric-pressure plasma surface modification (Hiroshima U.) *(Stu)Aoyama Shun, (Reg)Nagasawa Hiroki, (Reg)Kanezashi Masakoto, (Reg)Tsuru Toshinori	Atmospheric-pressure plasma surface modification organosilica membranes	SY-60	545
Hall DC(C3 1F 102), Day 2(Sep. 15)
(13:00–14:40) (Chair: Ohashi Hidenori, Saeki Daisuke)
13:00– 13:20	DC213	[The Outstanding Paper Award] Development of Novel Positively Charged Nanofiltration Membranes Using Interfacial Polymerization, Followed by Plasma Graft Polymerization (Kogakuin U.) *(Reg)Akamatsu Kazuki, Igarashi Yukino, Marutani Takashi, (Kobe U./MaF Tech C.) (Reg)Shintani Takuji, (Kogakuin U.) (Reg)Nakao Shin-ichi	nanofiltration membrane interfacial polymerization ion separation	SY-60	541
13:20– 13:40	DC214	Effect of chemical properties of support membrane surface on water permeability of polyamide active layer (Kobe U./MaF Tech C.) *(Stu)Miyake Takefumi, (Reg)Matsuoka Atsushi, (Reg)Okamoto Yasunao, (Reg)Kamio Eiji, (Reg)Matsuyama Hideto, (Reg)Nakagawa Keizo, (Reg)Kitagawa Tooru, (Reg)Yoshioka Tomohisa	Polyamide Support membrane Nanofiltration membrane	SY-60	320
13:40– 14:00	DC215	Continuous coalescence and separation of oil-in-water emulsion via polyacrylonitrile nanofibrous membrane (Nagoya U.) *(Stu)Yue Y., Hara M., (Reg)Mukai Y.	nanofibrous membrane coalescer O/W emulsion	SY-60	606
14:00– 14:20	DC216	Preparation of PK membranes modified with hydrophobic silica particles and evaluation of W/O emulsion separation performance (Kobe U./MaF Tech C.) *(Stu)Watanabe Tomoki, (Reg)Nakagawa Keizo, Kitagawa Tooru, Okamoto Yasunao, (Reg)Matsuoka Atsushi, (Reg)Kamio Eiji, (Reg)Yoshioka Tomohisa, (Reg)Matsuyama Hideto	membrane polyketone emulsion	SY-60	612
14:20– 14:40	DC217	Morphology and performance of PVDF/poly(2- methoxyethyl acrylate) blend membranes (Kogakuin U.) *(Reg)Akamatsu Kazuki, Ohno Seiya, (Reg)Nakao Shin-ichi, Wang Xiao-lin	poly(2-methoxyethyl acrylate) PVDF NIPS	SY-60	542
(14:40–16:00) (Chair: Akamatsu Kazuki, Negishi Hideyuki)
14:40– 15:00	DC218	Effect of operating conditions on extraction performance of p-nitrophenol using PVDF hollow fiber membrane modules (Kobe U./MaF Tech C.) *(Stu)Tsukida Ayato, (Reg)Nakagawa Keizo, Kato Noriaki, Kitagawa Tooru, (Reg)Matsuoka Atsushi, (Kobe U./EBRC) (Reg)Hasunuma Tomohisa, (Kobe U.) Bamba Takahiro, Kumokita Ryouta, Kobayasi Yuma, (Kobe U. OPIN) Yasueda Hisashi, (Kobe U./MaF Tech C.) (Reg)Kamio Eiji, (Reg)Matsuyama Hideto, (Reg)Yoshioka Tomohisa	Hollow fiber membrane extraction p-nitrophenol	SY-60	618
15:00– 15:20	DC219	Separation of phycobiliprotein from microalgae by diafiltration of multiple UF membrane connections and determination of productivity by mathematical modeling (Saga U.) *(Stu)Hidane Takanori, (Reg)Morisada Shintaro, (Reg)Ohto Keisuke, (Reg)Kawakita Hidetaka	Phycobiliprotein Diafiltration Mathematical model	SY-60	229
15:20– 15:40	DC220	Asymmetric superwetting Janus membrane for membrane distillation (Kobe U.) *(Reg)Guan Kecheng, (Stu)Jia Yuandong, (Reg)Matsuyama Hideto	Janus wettability Membrane distillation Scaling resistance	SY-60	276
15:40– 16:00	DC221	Development of separation process for acetate ion solution generated in the new lithium hydroxide manufacturing process (Kansai U.) *(Stu·PCEF)Kan Hikaru, (Stu·PCEF)Tsutsumi Daiki, (Idemitsu Kosan) (Cor)Utsuno Futoshi, (Reg·SPCE)Mori Daisuke, (Kansai U.) (Reg·PCE)Yamamoto Hideki	Diaphragmatic electrolysis Ion exchange membrane	SY-60	456
Hall DC(C3 1F 102), Day 3(Sep. 16)
ST-21 [Trans-Division Symposium] Frontiers of Data-driven Research and Development
(9:00–10:20) (Chair: Mukaida Shiho)
9:00– 9:40	DC301	[Invited lecture] Data-driven AI Laboratory and Cyber Catalysis (Shinshu U.) (Reg)Koyama Michihisa	Data-driven Cyber Catalysis Computational Chemistry	ST-21	102
9:40– 10:20	DC303	[Invited lecture] AI-Driven peptide/antibody molecule design for drug discovery (MOLCURE) Tamaki Satoshi	Artificial Intelligence Drug Discovery Antibody	ST-21	316
(10:20–12:00) (Chair: Toya Yoshihiro)
10:20– 10:40	DC305	Data-driven analysis of charge variants in monoclonal antibody production (U. Tokyo) *(Stu)Yoshiyama Yuki, (Int)Badr Sara, (Stu)Okamura Kozue, (Manufacturing Tech. Association of Biologics) Murakami Sei, (U. Tokyo) (Reg)Sugiyama Hirokazu	Charge variant Monoclonal antibody PLS	ST-21	641
10:40– 11:00	DC306	Multi-step approach for data-driven equipment condition assessment in biopharmaceutical drug product manufacturing (U. Tokyo) *(Int)Zuercher Philipp Samuel, (Int)Badr Sara, (ROCHE) Knueppel Stephanie, (U. Tokyo) (Reg)Sugiyama Hirokazu	Predictive maintenance Unsupervised learning Industrial application	ST-21	590
11:00– 11:20	DC307	Reinforcement learning to optimally control the bio and chemical processes (Kyoto U.) (Int)Oh Tae Hoon	Reinforcement Learning Process control Optimal control	ST-21	60
11:20– 11:40	DC308	Soft sensor study in film manufacturing process (Meiji U.) *(Stu)Nakayama Yuki, Shiraki Yuya, (Zeon) (Cor)Natori Satoshi, (Cor)Ono Yuki, (Cor)Suda Kazuya, (Meiji U.) (Reg)Kaneko Hiromasa	Soft sensor Fault detection Film manufacturing process	ST-21	366
11:40– 12:00	DC309	Prediction of phase equilibrium of water-organic compounds system at high-temperature and high-pressure using machine learning (Shinshu U.) *(Stu)Tamura Kotaro, (Reg)Shimada Iori, (Reg)Fukunaga Hiroshi, (Reg)Takahashi Nobuhide, (Reg)Osada Mitsumasa	machine learning prediction of phase equilibrium high-temperature and high-pressure	ST-21	532
(13:00–14:20) (Chair: Kaneko Shogo)
13:00– 13:40	DC313	[Invited lecture] Exploration of functional inorganic thin-film materials using autonomous systems (Tokyo Tech) Shimizu Ryota	autonomous synthesis inorganic materials functional thin films	ST-21	103
13:40– 14:20	DC315	[Invited lecture] Data-driven polymer material development powered by Polymer SmartLab and Material DX (NIMS) Naito Masanobu	smart lab material DX database	ST-21	129
(14:20–15:40) (Chair: Shimada Iori)
14:20– 14:40	DC317	Inverse design of polymer membrane structure for gas separation using Junction Tree VAE machine learning (Kogakuin U.) *(Stu)Matsumoto Takumi, (Reg)Miyagawa Masaya, (Reg)Takaba Hiromitsu	machine learning polymer membrane gas separation	ST-21	712
14:40– 15:00	DC318	Design of both membrane-based process and membrane materials with machine learning (Meiji U.) *(Stu)Yuyama Shunsuke, (Reg)Kaneko Hiromasa	Membrane module Materials Informatics Process design	ST-21	187
15:00– 15:20	DC319	[Featured presentation] Development of digital twin of the bulk single crystal growth of Si by using PINNs (Physics Informed Neural Networks) (Osaka U.) *(Stu)Takehara Yuto, (Reg)Okano Yasunori	Digital twin Machine learning Physics Informed Neural Networks	ST-21	396
15:20– 15:40	DC320	Growth interface shape optimization and adaptive process control for InGaSb crystal growth under microgravity using machine learning (Osaka U.) *(Stu)Ghritli Rachid, (JAXA-SOKENDAI) Inatomi Yuko, (Osaka U.) (Reg)Okano Yasunori	Machine Learning Reinforcement Learning Crystal Growth	ST-21	428
(15:40–17:00) (Chair: Kim Sanghong)
15:40– 16:00	DC321	Multimodal Artificial Intelligence for Data-driven Developments of Complex Composite Materials (AIST) *(Reg)Muroga Shun, Miki Yasuaki, (ADMAT) Honda Takashi, (AIST) Morita Hiroshi, Okazaki Toshiya, Hata Kenji	Multimodal AI Materials Informatics Composite Material	ST-21	669
16:00– 16:20	DC322	Effect of physics-based feature engineering in predicting product yields of catalytic cracking reactions (Shinshu U.) *(Stu)Yasuike Shun, (Reg)Osada Mitsumasa, (Reg)Shimada Iori	catalytic cracking machine learning feature engineering	ST-21	101
16:20– 16:40	DC323	Developing identifiers to link materials databases (UTokyo) *(Reg)Muraoka Koki, Munekata Tsubasa, Nakayama Akira	materials informatics database	ST-21	580
16:40– 17:00	DC324	Discusstion on initial sample selection for Bayesian optimization of compound combinations (Meiji U.) *(Stu)Morishita Toshiharu, (Reg)Kaneko Hiromasa	Bayesian optimization Machine learning Clustering	ST-21	328

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SCEJ 53rd Autumn Meeting (Nagano, 2022)

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