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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Last modified: 2022-09-26 13:32:00

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

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
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)
9:009:20DC101Organic 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-60648
9:209:40DC102[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-60651
9:4010:00DC103Ceramic-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-60431
10:0010:20DC104Forward 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-60705
10:2010:40Break
(10:40–12:00) (Chair: Sakai Motomu, Araki Sadao)
10:4011:00DC106Self-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-60310
11:0011:20DC107Molecular 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-60795
11:2011:40DC108Study 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-60415
11:4012:00DC109Simulation 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-60196
(13:00–14:40) (Chair: Yoshimune Miki, Seshimo Masahiro)
13:0013:20DC113Synthesis 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-60433
13:2013:40DC114Effect 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-60490
13:4014:00DC115Design 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-60170
14:0014:20DC116Machine 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
14:2014:40DC117Fabrication 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-60510
14:4015:00Break
(15:00–16:00) (Chair: Tanaka Shunsuke, Nakagawa Keizo)
15:0015:20DC119Fabrication 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-60345
15:2015:40DC120Metal 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-60346
15:4016:00DC121Sub-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-60615
(16:00–17:00) (Chair: Hara Nobuo, Taniguchi Ikuo)
16:0016:20DC122Modeling 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-60495
16:2016:40DC123New 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-60474
16:4017:00DC124Permeation 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-60545
Hall DC(C3 1F 102), Day 2(Sep. 15)
(13:00–14:40) (Chair: Ohashi Hidenori, Saeki Daisuke)
13:0013:20DC213[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-60541
13:2013:40DC214Effect 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-60320
13:4014:00DC215Continuous 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-60606
14:0014:20DC216Preparation 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-60612
14:2014:40DC217Morphology 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-60542
(14:40–16:00) (Chair: Akamatsu Kazuki, Negishi Hideyuki)
14:4015:00DC218Effect 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-60618
15:0015:20DC219Separation 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-60229
15:2015:40DC220Asymmetric superwetting Janus membrane for membrane distillation
(Kobe U.) *(Reg)Guan Kecheng, (Stu)Jia Yuandong, (Reg)Matsuyama Hideto
Janus wettability
Membrane distillation
Scaling resistance
SY-60276
15:4016:00DC221Development 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-60456
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)
9:009:40DC301[Invited lecture] Data-driven AI Laboratory and Cyber Catalysis
(Shinshu U.) (Reg)Koyama Michihisa
Data-driven
Cyber Catalysis
Computational Chemistry
ST-21102
9:4010:20DC303[Invited lecture] AI-Driven peptide/antibody molecule design for drug discovery
(MOLCURE) Tamaki Satoshi
Artificial Intelligence
Drug Discovery
Antibody
ST-21316
(10:20–12:00) (Chair: Toya Yoshihiro)
10:2010:40DC305Data-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-21641
10:4011:00DC306Multi-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-21590
11:0011:20DC307Reinforcement learning to optimally control the bio and chemical processes
(Kyoto U.) (Int)Oh Tae Hoon
Reinforcement Learning
Process control
Optimal control
ST-2160
11:2011:40DC308Soft 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-21366
11:4012:00DC309Prediction 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-21532
(13:00–14:20) (Chair: Kaneko Shogo)
13:0013:40DC313[Invited lecture] Exploration of functional inorganic thin-film materials using autonomous systems
(Tokyo Tech) Shimizu Ryota
autonomous synthesis
inorganic materials
functional thin films
ST-21103
13:4014:20DC315[Invited lecture] Data-driven polymer material development powered by Polymer SmartLab and Material DX
(NIMS) Naito Masanobu
smart lab
material DX
database
ST-21129
(14:20–15:40) (Chair: Shimada Iori)
14:2014:40DC317Inverse 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-21712
14:4015:00DC318Design 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-21187
15:0015:20DC319[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-21396
15:2015:40DC320Growth 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-21428
(15:40–17:00) (Chair: Kim Sanghong)
15:4016:00DC321Multimodal 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-21669
16:0016:20DC322Effect 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-21101
16:2016:40DC323Developing identifiers to link materials databases
(UTokyo) *(Reg)Muraoka Koki, Munekata Tsubasa, Nakayama Akira
materials informatics
database
ST-21580
16:4017:00DC324Discusstion on initial sample selection for Bayesian optimization of compound combinations
(Meiji U.) *(Stu)Morishita Toshiharu, (Reg)Kaneko Hiromasa
Bayesian optimization
Machine learning
Clustering
ST-21328

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SCEJ 53rd Autumn Meeting (Nagano, 2022)


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