Japanese page
SCEJ

SCEJ 91st Annual Meeting (Kyoto, 2026)

Last modified: 2026-01-20 11:12:38

Hall and day program : Hall PD, Day 3 : PD331

The chairs are under negotiation.
Yellow-back on the Technical sessions and session list denotes the on-site/virtual hybrid sessions.
All other sessions will be the on-site only sessions.

Hall P(), Day 3(Mar. 19)

PS-D

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
PS-D Poster Session D (Reaction eng., SIS, Safety)
(9:30–11:30)
9:3011:30PD301Activation of metal nanoparticle catalysts utilising mechanochemistry and Metal-Polymer interactions
(Kyushu U.) *(Stu)Nishihara Yuta, (Reg·PCEF)Matsumoto Hikaru, (Reg)Nagao Masanori, (Reg)Miura Yoshiko
Mechanochemistry
Green chemistry
Redispersion
5-a79
PD302Hydrocarbon production by hydrogenation of CO2 under high pressure with supported transition metal catalysts
(Utsunomiya U.) *(Stu)Yamazaki Taiki, (Reg)Furusawa Takeshi
CO2 hydrogenation
Supported transition metal catalyst
hydrocarbon production
5-a231
PD303Design and Development of Ni-Based Catalysts for Anion Exchange Membrane Water Electrolysis by Surface Structural Control Using Electrodeposition
(Science Tokyo) *(Stu)Fujimaki Ryunosuke, (Reg)Gopinathan M Anilkuma, (Reg)Kuroki Hidenori, (Reg)Sugawara Yuuki, (Reg)Yamaguchi Takeo
Anion Exchange Membrane
Water Electrorisis
Electrodeposition
5-a534
PD304Catalytic Durability of Flame-Made Core-Shell Catalysts for Dry reforming of methane
(Kanazawa U.) *(Stu)Ogata Isaki, (Reg)Fujiwara Kakeru, (Reg)Osaka Yugo, (Reg)Tsujiguchi Takuya, (Reg)Kodama Akio
Flame spray pyrolysis
Ni catalysts
Dry reforming of methane
5-a364
PD305Co-processing of plastic and bio-oil in catalytic cracking process -Prediction of yields and investigation of feedstock interactions using machine learning-
(Shinshu U.) *(Stu)Okuno Kota, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Reg)Takahashi Nobuhide, (Reg)Shimada Iori
co-processing
plastic
bio-oil
5-a286
PD306Promotion of CO conversion and fibrous carbon formation over Fe-based structured catalysts by Co and K addition
(Shizuoka U.) *(Stu·PCEF)Nakazawa Y., (Stu·PCEF)Matsumoto K., (Reg)Akama H., (Reg)Watanabe R., (Reg)Fukuhara C.
CCUS
Fibrous carbon
Fe-Co alloy
5-a80
PD307Olefin Formation Behavior in Tandem CO2 Hydrogenation Using SAPO-34 Zeolite Catalyst
(Waseda U.) *(Stu)Cho Rakuhi, (Reg)Sakai Motomu, (Waseda U./ WISE) (Reg)Matsukata Masahiko
zeolite
tandem catalyst
CO2 utilization
5-a60
PD308Direct conversion of liquid ethanol by electro-activation of catalysts
(Kyushu U.) *(Stu)Uchiyama Saki, (Reg)Oshima Kazumasa, (Reg)Kishida Masahiro, (Reg)Nakagawa Kyuya
Ethanol conversion
Electro-activation
Pt/CeO2 catalyst
5-a205
PD309Extending Chemical Reaction Neural Networks for Reaction-Diffusion Modeling in Porous Catalysts
(Shinshu U.) *(Stu)Nakajima Riku, (Reg)Shimada Iori
Reaction mechanism
Reaction-diffusion system
Data-driven
5-a452
PD310Effect of Buoyancy on Mass Transfer Rate in a Gas-Liquid-Solid Taylor Flow Reactor
(Osaka Metro. U.) *(Stu)Takayama Hibiki, (Stu)Fukui Takuya, (Reg)Yasuda Masahiro, (Reg)Horie Takafumi
Taylor flow
Buoyancy
Mass transfer
5-a75
PD311Evaluation of a multi-stage Carbon Looping System for large-scale CO2 fixation
(Shizuoka U.) *(Stu·PCEF)Kato Shu, (Stu·PCEF)Yamada Yuki, (Reg)Akama Hiroshi, (Reg)Watanabe Ryo, (Reg)Fukuhara Choji
carbon capture
multi-stage
CCUS
5-a113
PD312Catalytic cracking of Isoprene to Aromatic Compounds and Light Olefins Using Zeolite Beta and ZSM-5
(U. Osaka) *(Stu)Turarova Gulderaiym, (Reg)Miyake Koji, (Reg)Uchida Yoshiaki, (Reg)Nishiyama Norikazu
zeolite
plastic recycling
cracking
5-a45
PD313Unraveling the Reaction Pathway of HCHO Oxidation on W-Doped δ-MnO2
(Nat. Central U.) *Cheng Fu-Chuan, Chien Szu-Chia
DFT
Formaldehyde oxidation
MnO2
5-a350
PD314Hydrothermal Synthesis of Nitric Acid-Modulated Co-MOF as Electrocatalyst for Hydrogen Production from Urea-Assisted Water Electrolysis
(NKUST) *He I-Hsuan, Lee Chun-I, Pan Chun-Jern, Zeng Jhao-Hua, Peng Jia-He
Urea Oxidation Reaction (UOR)
Hydrogen Evolution Reaction (HER)
Overall reaction, Metal-Organic Framework (MOF)
5-a127
PD315Development of a novel anodized catalyst support for electrical heating
(TUAT) *(Stu)Yuasa Mari, (Reg)Sakurai Makoto
electrical heating catalyst
cathodic polarization
pulsed electrodeposition
5-a710
PD316Tandem reaction of jasmine aldehyde by metalnanoparticle-supported liposomes
(Okayama U.) *(Stu)Tanaka Sota, (Reg)Shimanouchi Toshinori, (Reg)Kimura Yukitaka
metalnanoparticle
liposome
tandem reaction
5-a436
PD317Investigation of methanation reactions using silver-based catalysts with different supports
(Hokkaido U.) *(Stu)Inoue Kanta, Takeuchi Kohei, Shinohara Yuji, Tsubouchi Naoto
methanation
silver carbonate
Ni catalyst
5-a468
PD318Effect of catalyst amount on microwave-assisted CO2 methanation using SiC-supported Ru/CeO2 catalysts
(Hachinohe Inst. Tech.) *(Stu)Nambu Taishi, (Stu)Murakami Shotaro, Yamamoto Arata, (Reg)Kobayashi Masaki, (Shizuoka U.) (Reg)Fukuhara Choji
CO2 methanation
microwave
structured catalyst
5-a674
PD319Design of polymeric palladium catalysts for solid-state Suzuki-Miyaura type cross-coupling reaction with machine learning
(Meiji U.) *(Stu)Tsunemi Takuto, (RIKEN CSRS) Zhang Zhenzhong, Yamada Yoichi, (Meiji U.) (Reg)Kaneko Hiromasa
Machine learning
Suzuki-Miyaura cross coupling
Pd catalyst
5-a47
PD320Non-Monotonic CO2 Reduction Selectivity under High Pressure: From Mass Transport to Charge-Transfer Regulation
(Tohoku U. IMRAM) *(Stu)Zhang Xishuo, (Tohoku U. FRIS) (Reg)Tomai Takaaki, (Tohoku U. IMRAM) (Reg)Iwase Kazuyuki
CO2 electroreduction
high pressure
surface coverage
5-a329
PD321NiFe-Layered double hydroxide as bifunctional electrocatalyst for value-added hydrogen production in iodine containing water electrolysis
(NKUST) *Su Zi-Wei, Peng Jia-He, Zeng Jhao-Hua, Pan Chun-Jern, Lee Chun-I
Iodide Oxidation Reaction (IOR)
Water Electrolysis
Layer Double Hydroxide (LDH)
5-a184
PD322Cobalt-based Dual Ligand Metal Organic Framework as bifunctional electrocatalyst for value-added hydrogen production in iodine containing water electrolysis
(NKUST) *Chen Sheng-Po, Peng Jia-He, Zeng Jhao-Hua, Pan Chun-Jern, Lee Chun-I
Iodine Oxidation Reaction
Hydrogen Evolution Reaction
Metal-Organic Framework
5-a186
PD323Carbon dioxide treatment by ammonia gas
(Gifu U.) *(Stu)Takeda China, (Reg)Kambara Shinji, (Reg)Yoshiie Ryo, (Reg)Nakamura Tensho
Carbon dioxide
ammonia
Ammonium bicarbonate
5-e280
PD324Evaluation and modeling of the effects of periodic operation on Fischer-Tropsch reaction behavior
(Science Tokyo) *(Stu)Matsuoka Nanaho, (Reg)Mori Shinsuke, (Yasuda Women's U.) (Reg)Ookawara Shinichi, (NGK) (Cor)Miyaguchi Maho, (Cor)Madokoro Hiroshi
Fischer-Tropsch
Periodic operation
5-e757
PD325Study on Two-Step Direct Liquefaction Process of Woody Biomass
(NIT Numazu) *(Stu)Halaga Shioli, (Reg)Ito Takuya
Woody biomass
Direct liquefaction
Upgrading
5-g569
PD326Optimization of Microchannel Geometry for Softsensors in Microfluidic Systems
(Shizuoka U.) *(Stu)Nihei Kosuke, (Reg)Murakami Yuya
Softsensor
Microchannel
Machine learning
5-f321
PD327Synthesis of HMF from glucose using sulfonic acid-immobilized Al-doped mesoporous silica catalyst
(Nihon U.) *(Stu)Nagamori Takuho, Naito Ken, (Reg)Kakuta Yusuke
mesoporous silica
5-hydroxymethylfurfural
bifunctional catalyst
5-g124
PD328Solvent-free Mechanochemical N/P-Lignin for Flame Retardant Spray Coatings
(Kyungpook Nat. U.) *Yoo Heesu, Kim Jian, Hwang Chaewon, Koo Bonwook
Flame retardant
Lignin
Mechanochemistry
5-g188
PD329Investigation of the effect of gamma-valerolactone co-solvent on the cellulose ethanolysis with heteropolyacid catalysts
(TUAT) *(Stu)Kanazawa Ryota, (Reg)Fushimi Chihiro
cellulose
ethanolysis
co-solvent
5-g236
PD330Enhancement of Biomass Gasification by Passing Electric Current Through a Char Bed
(NIT Numazu) *(Stu)Tsuruta Maya, (Reg)Ito Takuya
Biomass
Gasification
Passing Electric Current
5-g573
PD331Analysis of the Dushman Reaction Using Physics-Informed Machine Learning
(Shizuoka U.) *(Stu)Hayashi Seiken, (Reg)Murakami Yuya
Dushman reaction
Mixing evaluation
Machine learning
5-i323
PD332Lactic Acid Extraction Using a Deep Eutectic Solvent Under Segmented-Flow Conditions
(Kyoto U.) *(Stu)Zhong Ren, (Reg)Sotowa Ken-Ichiro
Segmented flow
Liquid-liquid extraction
Deep eutectic solvents
5-f699
PD333Multi-scale simulation to elucidate decrease in sonochemical reaction efficiency under high-power ultrasound condition.
(Osaka Metro. U.) *(Stu)Hayashi Ryuya, (Reg)Yamamoto Takuya
sonochemical
ultrasound
5-b293
PD334Flame-retardant polylactic acid composites with silylated cellulose nanofibers
(Kyungpook Nat. U.) *Jo Jaemin, Koo Bonwook
Polylactic acid
Silylation
Cellulose nanofibers
5-g193
PD335Biodiesel Production by Catalytic Decarboxylation over a Weakly Basic Supported Ni Catalyst
(NIT Numazu) *(Stu)Sato Mikoto, (Reg)Ito Takuya
Biodiesel
Ni Catalyst
Cerium oxide
5-g574
PD336Proposal of a method to calculate kinetic parameters of Biomethanation reactions
(Osaka IT) *(Stu)Nishimura Yuki, Kosaki Yasunori
Biomethanation
kinetic parameters
5-e471
PD337Effect of Acetic Acid Pretreatment on the Direct Liquefaction of Woody Biomass
(NIT Numazu) *(Stu)Miyamoto Fuki, (Reg)Ito Takuya
Woody Biomass
Direct Liquefaction
5-g575
PD338Extrapolative Prediction of Dushman Reaction Kinetics Using a Hybrid Machine Learning Model
(Shizuoka U.) *(Stu)Sasaki Yu, (Stu)Hayashi Seiken, (Reg)Murakami Yuya
Dushman reaction
Extrapolation
Machine learning
5-i680
PD339Development of solution-based Fe/MgO catalyst for the synthesis of submillimeter-long carbon nanotubes
(Waseda U.) *(Stu)Matsukawa Yoshiyuki, (Reg)Mae Tomotaro, (Reg)Osawa Toshio, (Panasonic Energy) Kato Masaki, (Waseda U.) (Reg)Noda Suguru
Carbon nanotubes
Chemical vapor deposition
Fe/MgO catalyst
5-h88
PD340Study of the Initial Nucleation Process in Pd-ALD Using Pd(hfac)2
(U. Tokyo) *(Stu)Mori Wataru, (Stu)Nagai Souga, (Reg)Deng Yubin, (Reg)Otaka Yuhei, (Reg)Yamaguchi Jun, (Reg)Sato Noboru, (Reg)Tamaoki Naoki, (Reg)Tsukune Atsuhiro, (Reg)Shimogaki Yukihiro
palladium
ALD
nucleation
5-h700
PD341Development of zeolite catalysts for highly selective hydrocarbon synthesis process
(Tokushima U.) *(Stu)Shinohara Tsukasa, Iwai Taiki, Fujimoto Kotaro, (Reg)Shimoda Naohiro, (Mitsubishi Electric) (Reg·PCE)Kawamoto Makoto, Shinoki Toshio, Nomura Yasumitsu
Zeolite
Methanol conversion
Carbon neutral
5-a337
PD342Investigation of miscibility and reactivity of furfural in Baeyer-Villiger oxidation with aqueous biphasic solvents
(TUAT) *(Stu)Ninomiya Moeno, Suzuki Taiyo, (Reg)Suzuki Ryuta X., (Reg)Fushimi Chihiro
Baeyer-Villiger Oxidation
Biphasic system
Partially miscible
5-g244
PD343Flame-Retardant Densified Wood via Delignification and Ionic Fixing
(Kyungpook Nat. U.) *Kim Yejin, Shin Haewon, Sereni Kyle Joseph, Koo Bonwook
Delignification
Flame retardancy
Surface ionic fixing
5-g297
PD344Sulfur/Phosphorus Synergistically Modified Layered Cobalt Hydroxide on Nickel Foam: An Efficient Electrocatalyst for Hydrogen Production in Seawater Electrolysis
(NKUST) *Liu Ni-En, Yen Yi-Chun, Peng Jia-He, Zeng Jhao-Hua, Pan Chun-Jern, Lee Chun-I
Oxygen Evolution Reaction
Hydrogen Evolution Reaction
Seawater Electrolysis
5-a347
PD345Transesterification of Vegetable Oil with Dimethyl Carbonate using Guanidine Base Catalysts
(Nihon U.) *(Stu)Midorikawa Kai, Naito Ken, (Reg)Kakuta Yusuke
biodiesel
guanidine
dimethyl carbonate
5-g615
PD346Development of a New Vertical Gasifier with an Internal Screw-Driven Particle Moving Mechanism
(NIT Numazu) *(Stu)Natori Kaito, (Reg)Ito Takuya
Gasifier
Biomass
Cold Model
5-g584
PD347Separate heating of catalyst and carbon sources in gas-phase synthesis of carbon nanotubes
(Waseda U.) *(Stu)Ando Koyo, (Reg)Osawa Toshio, (Reg)Noda Suguru
carbon nanotube
floating catalyst chemical vapor deposition
computational fluid dynamics
5-h115
PD348Environmentally friendly lipid recovery from microalgae with hydrothermal liquefaction
(TUAT) *(Stu)Aoki Motoharu, Okayama Riho, Sato Yu, (Reg)Suzuki X. Ryuta, (Toyota Motor) Yui Yuki, (TUAT) (Reg)Fushimi Chihiro
Microalgae
Hydrothermal liquefaction
Lipid extraction
5-g259
PD349Study of a Co ALD Process Using a Novel Co Precursor with Neural Network Potentials
(U. Tokyo) *(Stu)Tanichi Keisuke, (Reg)Sato Noboru, (Reg)Tamaoki Naoki, (Reg)Tsukune Atsuhiro, (Reg)Shimogaki Yukihiro
Co ALD
Newral Network Potential
Reaction Design
5-h712
PD350Effect of Coexisting gases on Solid Carbon production from Carbon Monoxide over Iron Oxide
(Gifu U.) *(Stu)Watanabe Jindai, Ishikawa Sumire, (Reg)Miyamoto Manabu, (Reg)Oumi Yasunori, (Reg)Uemiya Shigeyuki, (Reg)Imai Tsutomu, (Reg)Kambara Shinji
Solid Carbon
Iron Oxide
Boudouard Reaction
5-a559
PD351Flexibility Evaluation of an IoT Module-Based Automated Experiment System
(Kyoto U.) *(Stu)Yoshioka Kazuki, (Reg)Tonomura Osamu, (Reg)Sotowa Ken-Ichiro
Automated Experiment
IoT Module
Flexibility Evaluation
5-f751
PD352Extending Flory-Huggins Model for the dispersion of surface modified CeO2 nanoparticle via data-driven modeling of solvent activity coefficient
(Fukuoka U.) *(Reg·PCE)Xia Junqing, (Reg)Noda Masaru
data-driven modeling
Flory-Huggins model
nanoparticle dispersion
6-g29
PD353Design of freezing processes for human induced pluripotent stem cell-derived spheroids toward industrial manufacturing
(U. Tokyo) *(Stu)Fujioka Masaharu, (Reg)Hayashi Yusuke, (Sumitomo Pharma) Yamaguchi Yuta, Aoyama Yurina, (U. Tokyo) (Reg)Sugiyama Hirokazu
Hybrid model
Regenerative medicine
Numerical simulation
6-b171
PD354Proposal of Crystal Structures for Novel Solid Electrolytes with High Ionic Conductivity Using Machine Learning
(Meiji U.) *(Stu)Ishikawa Eri, (Reg)Kaneko Hiromasa
Solid Electrolyte
Machine Learning
Materials Informatics
6-f8
PD355Autonomous Process Synthesis Using Masked Reinforcement Learning
(Kyoto U.) *(Stu)Ikarashi H., (Reg)Tonomura O., (Reg)Sotowa K.
Reinforcement learning
Process flowsheet synthesis
Action masking
6-b135
PD356Exploration stem-cell cryoprotective agents utilizing molecular information
(U. Tokyo) *(Stu)Kimura Akihiro, (Reg)Hayashi Yusuke, (U. Osaka) (Reg)Uno Yuki, (Reg)Kino-oka Masahiro, (U. Tokyo) (Reg)Sugiyama Hirokazu
Cheminfomatics
regenerative medicine
machine learning
6-b169
PD357Suggesting new drug candidates for schizophrenia using machine learning models and generative adversarial network
(Meiji U.) *(Stu)Kimura Shoei, (Reg)Kaneko Hiromasa
Machine learning
Drug design
Schizophrenia
6-f52
PD358Prediction of solubility in CO2 using COSMO-vacancy model
(Science Tokyo) *(Stu)Puprompan Purin, (Reg)Orita Yasuhiko, Shimoyama Yusuke
COSMO-vacancy
activity coefficient
supercritical CO2
6-f585
PD359Research on Autoregressive Training Transformer Model Applied to Dynamic Control of Modified Claus Process
(Nat. Chung Cheng U.) *Yeh Tung-Li, Kang Jia-Lin, (Nat. Tsing Hua U.) Wong Shan-hill
Modified Claus Process
Transformer Model
Autoregressive Training
6-d648
PD360Machine Learning Interatomic Potentials Reveal Surface Proton Diffusion on Perovskite Oxide
(Science Tokyo) *(Stu)Yang Long, (Reg)Ishikawa Atsushi
Machine Learning Interatomic Potential
Proton Diffusion
Surface Conduction
6-g183
PD361Prediction of Microfiltration Membrane Fouling and Proposal of Optimal Operating Conditions with Machine Learning
(Meiji U.) *(Stu)Shino Yuto, (Hitachi Plant Services) (Cor)Terui Shigeki, (Meiji U.) (Reg)Kaneko Hiromasa
Machine Learning
Microfiltration
Membrane Fouling
6-d163
PD362Modeling of mesenchymal stem cell cultivation processes based on metabolic flux analysis
(U. Tokyo) *(Stu·PCEF)Ikuta Daiki, (Stu)Kikukawa Hiroki, (Stu)Shimodaira Gaku, (Reg)Hayashi Yusuke, (Reg)Nishikawa Masaki, (Reg)Sugiyama Hirokazu
Oxygen condition
Multiscale modeling
Cell therapy
6-b428
PD363Microkinetic Modeling and Simulation to Design a Fixed Bed Column for NH3 Sorption on MgCl2
(Science Tokyo) *(Stu)Mustikarini A. R., (Reg)Wijakmatee T., (Reg)Matsumoto H.
Ammonia Sorption
Microkinetic Model
Process Simulation
6-c402
PD364Investigation of the correlation between in vivo and in vitro experiments in bioceramics
(Meiji U.) *(Stu)Masuyama Naoki, Iwama Shoki, Aizawa Mamoru, (Reg)Kaneko Hiromasa
artificial bone
in vivo
in vitro
6-f133
PD365Modeling and design of antibody drug manufacturing processes with culture media recycling
(U. Tokyo) *(Stu)Kobayashi Taiga, (Reg)Suzuki Kensuke, (Reg)Hayashi Yusuke, (Reg)Sugiyama Hirokazu
Biopharmaceuticals
Recycling
Process design
6-b463
PD366Development of a Machine Learning Model for Species-Specific MIC Prediction of Antimicrobial Peptides
(Meiji U.) *(Stu)Takeuchi Manato, Honda Michiyo, Kaneko Hiromasa
Machine Learning
Antimicrobial Peptides
Minimum Inhibitory Concentration (MIC)
6-g627
PD367Prediction of dielectric constant using calculated infrared spectra
(Resonac) *(Cor)Kobayashi Shuji, (Cor)Nagai Yuki, (Cor)Tanaka Naotaka
infrared spectra
machine learning
6-f120
PD368A Comparative Study of Molecular Descriptors to Improve Machine Learning Prediction of Ames Test Result
(IHI) *(Cor)Nagano Risa, (Cor)Miyajima Atsumi, (Cor)Ishii Kosuke, (Reg)Takahashi Katsumi, (Kogakuin U.) (Stu)Kondo Kazuma, (Stu)Miyatake Koshiro, (Reg)Takaba Hiromitsu
Ames test
Machine learning
6-f175
PD369Multiscale regression of Alzheimer's disease progression indicators based on MRI images
(Nagoya U.) *(Stu)Sekiya Takumi, (Yamagata U.) Sakamoto Kazuki, Kobayashi Ryota, (Fukushima Medical U.) Kawakatsu Shinobu, (Nagoya U.) (Reg)Matsuda Keigo
Alzheimer's disease
MRI analysis
Deep learning
6-f315
PD370Molecular Generation with Desired Number of Rings by Applying Conditional Hierarchical Variational Autoencoder to Explore Molecules Exhibiting Low Reorganization Energy
(Meiji U.) *(Stu)Takeuchi Makoto, (Panasonic Ind.) Ando Tatsuhito, Matsuzawa Nobuyuki, Maeshima Hiroyuki, (Meiji U.) (Reg)Kaneko Hiromasa
Conditional Hierarchical Variational Autoencoder
Molecule Generation
Reorganization Energy
6-f155
PD371Cost Analysis of a Simultaneous High-Purity CO2 and CH4 Separation from Sewage-derived Biogas Using Amine-based Chemical Absorption
(Tohoku U.) *(Stu)Yoshida Kouta, (Reg)Yagihara Koki, (U. Tokyo) Ni Jialing, (Tohoku U.) (Reg)Ohno Hajime, (Reg)Fukushima Yasuhiro
Biogas
Amine absorption
CO2 separation
6-b525
PD372Analysis of Structural and Electronic Factors Influencing the Activity and Electrical Conductivity of Non-Precious Metal Oxide Catalysts for Water Electrolysis
(Science Tokyo) *(Stu)Yamaoka Yuki, (Reg)Sugawara Yuuki, (Reg)Kuroki Hidenori, (Reg)Yamaguchi Takeo
Anion Exchange Membrane Water Electrolysis
Electrochemical Catalyst
Materials Informatics
6-g506
PD373Development of a machine learning model for predicting water vapor sorption of polysaccharides
(Meiji U.) *(Stu)Nomura Ryota, Nagai Kazukiyo, (Reg)Kaneko Hiromasa
Machine learning
Polysaccharides
Water vapor sorption
6-f387
PD374Real-time Estimation and Control of Temperature Distribution in a Double-Tube Reactor Based on the Orthogonal Collocation Method
(Tokyo U. Sci.) *(Stu)Ando Tatsuya, (NEDO) (Reg)Yoshida Masatoshi, (Tokyo U. Sci.) (Reg)Kazama Ryotaro, (Sado Precision) Sakashita Hiromasa, Suetake Kazunori, (NEDO) Kameda Mitsuaki, (Reg)Saito Yasukazu, (Tokyo U. Sci.) (Reg)Shono Atsushi
Double-tube reactor
Temperature distribution
ILQ-based optimal servo control
6-d498
PD375Investigation of Highly-Accurate Variational Autoencoders for Multicomponent Crystal Structures
(Meiji U.) *(Stu)Onishi Issa, (Stu)Ishikawa Eri, (Reg)Kaneko Hiromasa
Machine Learning
Crystal Structure VAE
Latent Representation of Materials
6-f10
PD376Fundamental study on disease prediction using brain MRI images by meta-learning
(Nagoya U.) *(Stu)Fujii Kazuhiro, (Yamagata U.) Sakamoto Kazuki, Kobayashi Ryota, (Fukushima Medical U.) Kawakatsu Shinobu, (Nagoya U.) (Reg)Matsuda Keigo
Machine Learning
Neurodegenerative diseases
Meta-learning
6-f316
PD377Design of cryopreservation processes for human induced pluripotent stem cells considering storage and thawing dynamics
(U. Tokyo) *(Stu)Nakano Maimi, (Reg)Hayashi Yusuke, (U. Osaka) (Reg)Uno Yuki, (Reg)Kino-oka Masahiro, (U. Tokyo) (Reg)Sugiyama Hirokazu
Manufacturing
Hybrid model
Regenerative medicine
6-b170
PD378Improving Reaction Prediction Accuracy Using Machine Learning and Reaction Networks
(Takushoku U.) *(Stu)Nomura Rin, Nishigaki Takahiro
machine learning
chemical reaction network
reaction pathway prediction
6-g352
PD379Improving the predictive accuracy of drug-drug interaction prediction models using unlabeled, ingredient, and clinical data
(Meiji U.) *(Stu)Kosakai Soma, (Reg)Kaneko Hiromasa
Drug-drug interaction
Machine learning
Positive-unlabeled learning
6-f23
PD380Modeling and design of cultivation processes considering glycosylation in monoclonal antibody manufacturing
(U. Tokyo) *Sathirakul Korbboon, Miki Yuta, (Reg)Kim Junu, (Reg)Hayashi Yusuke, Nakakido Makoto, (Chiyoda) (Reg)Taguchi Tomoyuki, (U. Tokyo) Ishikawa Shumpei, Tsumoto Kohei, (Reg)Sugiyama Hirokazu
Mechanistic model
Monoclonal Antibody Cultivation
Glycosylation
6-b400
PD381Atomistic Studies of〈110〉 Symmetric Tilt Grain Boundaries in Al0.5CoCr0.5FeNi High-Entropy Alloys
(Nat. Central U.) *Li Jyu-Si, Chien Szu-Chia
Molecular dynamics
High entropy alloys
Grain boundaries
6-g355
PD382Topological Phase Transitions in Non-Centrosymmetric LiBaBi under Strain
(Nat. Central U.) *Chen Zhen-Yuan, Chien Szu-Chia
DFT
Topological insulator
Strain-induced band inversion
6-g349
PD383Design of novel plastic-degrading enzymes with high thermostability and degradation activity using machine learning models
(Meiji U.) *(Stu)Ohkuma Ayami, (Reg)Kaneko Hiromasa
machine learning
bioinformatics
plastics-degrading enzymes
6-f538
PD384Optimization of BiVO4 photocatalyst synthesis conditions with machine learning and experiments
(Meiji U.) *(Stu)Takami Yuta, Iwase Akihide, (Reg)Kaneko Hiromasa
Bismuth Vanadate
Synthesis conditions
Machine learning
6-e51
PD385AI-based Reduced-order Model for Fast Predictive Simulations
(U. Tokyo) *(Stu)Ikegami Shin, (Reg)Sakai Mikio
Reduced-order model
DEM-DNS
Slurry
6-c48
PD386Molecular generation to lower reorganization energy of organic semiconductors with an emphasis on the reliability of predictions of machine learning model
(Meiji U.) *(Stu)Uchibori Yuta, (Panasonic Ind.) Matsuzawa Nobuyuki, Maeshima Hiroyuki, Ando Tatsuhito, (Meiji U.) (Reg)Kaneko Hiromasa
Machine learning
Generative adversarial networks
Organic semiconductor
6-f139
PD387Development of a GCN prediction model for the Ames test using improved molecular expression methods
(Kogakuin U.) *(Stu)Kondo Kazuma, (Stu)Miyatake Koshiro, (IHI) (Cor)Nagano Risa, (Cor)Miyajima Atsumi, (Cor)Ishii Kosuke, (Reg)Takahashi Katsumi, (Kogakuin U.) (Reg)Takaba Hiromitsu
Machine Learning
Ames Test
Molecule Graph
6-f614
PD388Towards a Safer Process for Acrylic Resin: Quantitative Evaluation of Induction Period in Monomer/Initiator Mixture
(Mitsubishi Chemical) *(Cor·PCEF)Ebisu Souta, (Cor)Tanabe Ikkei
induction period
safety design
acrylic resin
10-c39
PD389A Study on the Application of Risk Based Maintenance (RBM) to Wind Power Systems
(Nihon U.) *(Stu)Shimizu Riku, (Reg)Mitomo Nobuo
Risk based maintenance
Wind turbine
Renewable energy
10-i272
PD390Construction of a Physical Model for Risk Analysis of Water Electrolysis Systems
(Yokohama Nat. U.) *(Stu)Fujii Yusei, Furota Jun, Hirayama Izumi, (Reg)Izato Yu-ichiro
Water Electrolysis Systems
Risk Analysis
Physical Model
10-e508
PD391A Study on Organizational Accident Analysis Methodology Based on the Perspective of Safety Culture
(Nihon U.) *(Stu)Guo Jiacheng, (Reg)Mitomo Nobuo
Organizational Accident
Safety Culture
Accident Analysis
10-i510

Technical program
Technical sessions (Wide)  (For narrow screen)
Session programs
Search in technical program
SCEJ 91st Annual Meeting (Kyoto, 2026)


© 2026 The Society of Chemical Engineers, Japan. All rights reserved.
For more information contact Organizing Committee of SCEJ 91st Annual Meeting
E-mail: inquiry-91awww4.scej.org