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SCEJ 56th Autumn Meeting (Tokyo, 2025)

Last modified: 2025-09-29 10:33:36

Hall and day program : Hall CD

The preprints(abstracts) are now open. These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants (excludes free registration) and invited persons are required.

Hall CD(C.A. Bldg. 3F 301)

Hall CD, Day 1 | Hall CD, Day 2 | Hall CD, Day 3
ST-21 | SV-1 | SP-3

TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Hall CD(C.A. Bldg. 3F 301), Day 1(Sep. 16)
ST-21 [Trans-Division Symposium]
Frontiers of Data-driven Research and Development
(9:20–10:20) (Chair: Shimada Iori)
9:20– 9:40CD102High-resolution flow analysis in cell culture tanks using a combination of PINNs and CFD
(Akita U.) *(Reg)Horiguchi Ikki, (U. Osaka) Shima Keisuke, (Stu)Mizukami Yuto, (Reg)Okano Yasunori
Suspension culture
Computational flow dynamics
Neural Networks
ST-21171
9:40– 10:00CD103Prediction of electrostatic inkjet printing characteristics using CNN with electric field distribution as input
(Tokyo U. Sci.) *(Reg)Matsukawa Hiroaki, (Reg)Otake Katsuto
Electrostatic inkjet
Convolutional Neural Networks
Electric field distribution
ST-2197
10:00– 10:20CD104Novel feature suggestion for Predictive Model of the Bacterial Reverse Mutation Test
(Kogakuin U.) *(Stu)Kondo Kazuma, (Stu)Miyatake Koshiro, (Reg)Higuchi Hayato, (Reg)Miyagawa Masaya, (Reg)Takaba Hiromitsu
Machine Learning
Variational Autoencoder
COSMO method
ST-21744
10:20– 10:40Break
(10:40–12:00) (Chair: Muroga Shun)
10:40– 11:20CD106[Invited lecture] Practical studies of data-driven materials research based on accelerating the data cycle
(Science Tokyo) Ando Yasunobu
autonomous experiment
machine learning potential
spectral analysis
ST-21939
11:20– 12:00CD108[Invited lecture] Accelerating Catalyst Development through High-Throughput Experiments
(AIST) Fujitani Tadahiro
Catalyst development
High-throughput screening
Autonomous experimentation
ST-21935
(13:00–14:20) (Chair: Mukaida Shiho)
13:00– 13:40CD113[Invited lecture] Machine learning-enabled spectroscopy and materials discovery
(U. Tokyo) Mizoguchi Teruyasu
Machine learning
XANES/ELNES
Materials discovery
ST-21938
13:40– 14:20CD115[Invited lecture] Optimization Applications in Business and Information Systems
(NS Solutions) Minami Etsuro
Optimization Problems
Combinatorial Optimization
Business Applications
ST-21946
(14:20–16:20) (Chair: Toya Yoshihiro)
14:20– 15:00CD117[Invited lecture] Perspectives and Challenges in Laboratory Automation Supporting Data-Driven Science in the field of Biotechnology
(Riken) Horinouchi Takaaki
Laboratory automation
Biotechnology
Data-Driven Science
ST-21945
15:00– 15:20Break
15:20– 15:40CD120Development of automated and autonomous experimental systems for electrode slurry: challenges and approaches
(Toyota Central R&D Labs) *(Cor)Kudo Sayako, (Cor)Matsunaga Takuro, (Cor)Makino Soichiro, (Cor)Kusano Takumi, (Cor)Yamawaki Yuya, (Reg)Nakamura Hiroshi, (U. Tokyo) (Stu)Oya Hirotaka, (Reg)Nagato Keisuke
automatic and autonomous laboratory
slurry
viscosity
ST-21346
15:40– 16:00CD121A Heterogeneous Transfer Learning Approach for Manufacturing Method Transitions in Pharmaceutical Processes
(Kyoto U.) *(Stu)Ihira Junya, (Daiichi Sankyo) (Reg)Yaginuma Keita, (Cor)Sato Kanta, (Kyoto U.) (Reg)Kato Shota, (Reg)Kano Manabu
Heterogeneous Transfer Learning
Manufacturing Method Transition
Pharmaceutical Manufacturing
ST-21471
16:00– 16:20CD122Development of a method for predicting drug-drug interactions using food ingredients as substitute for negative data
(Meiji U.) *(Stu)Kosakai Soma, (Reg)Kaneko Hiromasa
Drug-drug interaction
Machine learning
Positive-unlabeled learning
ST-21178
Hall CD(C.A. Bldg. 3F 301), Day 2(Sep. 17)
(9:00–10:20) (Chair: Sugawara Yuuki)
9:00– 9:20CD201Improvement of reaction mechanism prediction by chemical reaction neural network and its extension to heterogeneous catalytic reaction systems
(Shinshu U.) *(Reg)Shimada Iori, Yokosuka Natsuki, Nakajima Riku, Shionoya Tomoki
chemical reaction neural network
kinetic model
heterogeneous catalyst
ST-21923
9:20– 9:40CD202Machine Learning for Flow Suzuki Coupling Reactions Using Immobilized Pd Catalysts
(Kyushu U.) *(Stu)Zhou Xincheng, (Reg)Matsumoto Hikaru, (Reg)Nagao Masanori, (Reg)Miura Yoshiko
Polymer immobilized Pd catalyst
Machine learning
Process optimization
ST-21469
9:40– 10:00CD203Development of uncertainty quantification methods using sequential Monte Carlo methods and demonstration in reactor modeling
(Nagoya U.) *(Stu)Maruchi Tatsuki, (Reg)Yajima Tomoyuki, (Reg)Kawajiri Yoshiaki
Sequential Monte Carlo
Uncertainty quantification
Methanation
ST-21763
10:00– 10:20CD204Applications of transfer learning in catalyst and polymer development
(NEC/AIST) *(Reg)Obuchi Kiichi, Yahagi Yuta, (AIST) (Reg)Kosaka Fumihiko, (Kyoto U.) Matsui Kota
transfer learning
machine learning
data driven approach
ST-21746
10:20– 10:40Break
(10:40–12:00) (Chair: Xia Junqing)
10:40– 11:00CD206Machine Learning-Aided Prediction of the Lower Critical Solution Temperature of Thermoresponsive Copolymers
(Science Tokyo) (Reg)Sugawara Yuuki
Thermoresponsive polymer
Lower critical solution temperature
Machine learning
ST-2131
11:00– 11:20CD207(withdrawn)

100527
11:20– 11:40CD208High-Accuracy Building Electricity Demand Forecasting Using Group Encoding for High-Dimensional Binary Data
(Science Tokyo) *(Stu)Kagawa Tatsuya, (Stu)Lee Hyojae, (Reg)Kameda Keisuke, (Reg)Manzhos Sergei, (Reg)Ihara Manabu
group encoding
demand forecasting
big data
ST-21936
11:40– 12:00CD209Prediction of ultrafiltration membrane fouling and optimization of operating conditions using machine learning models
(Meiji U.) *(Stu)Shino Yuto, (Hitachi Plant Services) Terui Shigeki, (Meiji U.) (Reg)Kaneko Hiromasa
Machine Learning
Ultrafiltration
Membrane Fouling
ST-21235
SV-1 Chemical Engineering Vision Symposium 16 - The Future of the Specialized Divisions of the Society of Chemical Engineers: Human Resource Development, Interdisciplinary Fields, and Industry-Academia Collaboration
(13:00–16:00)
13:00– 13:20Introduction to SCEJ divisions, Opening remarks
(Kyushu U.) Inoue Gen
13:20– 14:08Presentations from divisions of application field
Bioengineering, Supercritical fluids, Energy engineering, Safety, Electronics, Environment, Materials and interfaces, Chemical plant material engineering
14:08– 14:20Break
14:20– 14:56Presentations from divisions of basic field
Physical properties, Fluid&particle processing, Thermal engineering, Separation processes, Chemical reaction engineering, SIS
14:56– 15:10Break
15:10– 16:00Panel discussion
Facilitator: (Okayama U.) Ono Tsutomu, (Kyushu U.) Inoue Gen
Panelists: Chair of Division CT, Division chairs, etc.
Hall CD(C.A. Bldg. 3F 301), Day 3(Sep. 18)
SP-3 [Special Symposium]
Implementing the Sapporo Declaration for Achieving the SDGs -Realizing Efficiency and Sufficiency through International Collaboration-
(13:00–13:10) (Chair: Noda Suguru)
13:00– 13:10Opening remarks
(Keio U.) (Reg)Fujioka Satoko
(13:10–13:40) (Chair: Fujioka Satoko)
13:10– 13:40CD314[Invited lecture] Watching Asia's Farmlands from Space=Pioneering Remote Sensing Technology Leading to Solutions for Social Issues=
(Chiba U.) Hongou Chiharu
Food Security
Agricultural Insurance
Remote Sensing
SP-3965
(13:40–14:10) (Chair: Wakatsuki Masaaki)
13:40– 14:10CD315[Invited lecture] The Role of Japanese Companies in the Era of the Sufficiency Economy
(mediator) Kantatorn Wannawasu
Japanese Company
Sufficiency
Thailand
SP-3966
(14:10–14:20) (Chair: Fujioka Satoko)
14:10– 14:20Introduction to APCChE student program
(Waseda U.) (Reg)Noda Suguru
(14:20–15:00) (Chair: Noda Suguru)
14:20– 15:00Research proposal by APCChE student program students
(15:10–16:35) (Chair: Noda Suguru)
15:10– 16:20Participatory group discussion
16:20– 16:35Summary of group discussion
(16:35–17:00) (Chair: Fujioka Satoko)
16:35– 16:50Granting of completion certificate to APCChE student program students
(SCEJ President) (Reg)Nagamatsu Haruo
16:50– 17:00Closing remarks
(JCIA) Wakatsuki Masaaki

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SCEJ 56th Autumn Meeting (Tokyo, 2025)

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