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SCEJ 56th Autumn Meeting (Tokyo, 2025)

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

Hall and day program : Hall CD, Day 2 : CD206

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), Day 2(Sep. 17)

ST-21 | SV-1

TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
ST-21 [Trans-Division Symposium]
Frontiers of Data-driven Research and Development
(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11:00– 11:20CD207(withdrawn)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.

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SCEJ 56th Autumn Meeting (Tokyo, 2025)

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