D102 - Hall D, Day 1 - Hall and day program - SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)

`SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)`

Last modified: 2026-07-16 06:38:20

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Hall and day program : Hall D, Day 1 : D102

The chairs are under negotiation.
Yellow-backs on Technical sessions denote the Hybrid sessions.
(All other sessions are on-site only sessions).

Hall D(K1F K103), Day 1(Sep. 14)

ST-24 | SY-72

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
ST-24 [Trans-Division Symposium] Symposium on Digital Fluid Phase Process: Rapid Measurement and Modeling of Fluid Phase Property toward Process Design Using Information Technology
(9:00–10:10)
9:00– 9:10		Digital Fluid Phase Process symposium (Science Tokyo) (Reg)Shimoyama Yusuke
9:10– 9:30	D102	[Invited lecture] Acceleration of Process Development with an In House CFD Platform (Sumitomo Chemical) *(Cor)Muramatsu Hiroki, (Cor)Yaegashi Yuta, (Cor)Shimada Naoki	simulation computational fluid dynamics (CFD) adaptive mesh refinement (AMR)	ST-24	272
9:30– 9:50	D103	[Invited lecture] Rapid Prediction of Flow Characteristics for Liquid-Liquid Slug Flow Process Design (Keio U.) (Reg)Fujioka Satoko	liquid-liquid slug flow flow pattern mixing	ST-24	928
9:50– 10:10	D104	[Invited lecture] Scale-Up Study of a Slurry Bubble Column Reactor for CO2 Reduction (Idemitsu Kosan) *(Cor)Ide Tomoyuki, (Cor)Matsumura Takamichi, (Cor)Nakamura Atsushi, (Cor)Sakakura Kei	carbon neutrality slurry bubble column computational fluid dynamics (CFD)	ST-24	386
(10:10–11:10)
10:10– 10:30	D105	Machine-Learning-Based Rapid Characterization of Emulsion Properties (U. Hyogo) *(Stu)Hashimoto Sayu, (Reg)Itoh Kazuhiro, (Int)Jain Mehak, Morimoto Masakazu	Emulsion Machine learning Random forest algorism	ST-24	126
10:30– 10:50	D106	Thermophysical Properties and Finite Expansion Mechanism in CO₂-Expanded Ionic Liquid via Molecular Dynamics Simulation (Shizuoka U.) *(Stu)Wang Lida, (Reg)Onodera Norihiro, (Reg)Kong Chang Yi	molecular dynamics simulation CO2-expanded ionic liquid interfacial behavior	ST-24	767
10:50– 11:10	D107	Rheology-Informed Generative AI for In Silico Optimization of Morphology Fidelity in Extrusion-Based 3D Bioprinting (U. Osaka) *(Stu)Zhang Colin, (Reg)Elvitigala Kelum, (Reg)Sakai Shinji	3D bioprinting Generative AI Closed-loop optimization	ST-24	154
(11:10–12:10)
11:10– 11:30	D108	Prediction of Sugar Reactions in High-Temperature and High-pressure Water by Natural Language Processing (Shinshu U.) *(Stu)Koike Ayami, (Reg)Osada Mitsumasa	Natural language processing Sugars Reaction product prediction	ST-24	759
11:30– 11:50	D109	In-situ droplet evaluation of supercritical CO2 emulsions in a microfluidic process (Science Tokyo) *(Stu)Puprompan Purin, (Reg)Orita Yasuhiko, (Reg)Shimoyama Yusuke	dynamic light scattering emulsion supercritical fluid	ST-24	257
11:50– 12:10	D110	Extension of Dushman Reaction Kinetics to a Wide Range of Conditions Using an AI-Based Rate Law (Shizuoka U.) *(Stu)Sasaki Yu, (Reg)Murakami Yuya	Dushman reaction Extrapolation Machine learning	ST-24	704
(13:00–14:20)
13:00– 13:20	D113	[Invited lecture] New business making examples with AI (Baycurrent) Furuta Satoshi	AI expertise business	ST-24	234
13:20– 13:40	D114	[Invited lecture] Data-Driven Design of Nanocarbon Dispersions Using Machine Learning and Automated Experimentation (AIST) Jintoku Hirokuni	machine learning dispersion nanocarbon	ST-24	148
13:40– 14:00	D115	[Invited lecture] Data-Driven Multi-Scale Simulation for Integrated Reaction-Transport Modeling and Process Design (Mitsubishi Chemical) *(Reg)Kato Yuki, (Cor)Yamashita Hiroki, (Cor)Mikami Masayoshi, (Reg)Ninomiya Wataru, (Kyushu U.) (Reg)Inoue Gen		ST-24	978
14:00– 14:20	D116	[Invited lecture] Application of Semi-Empirical Model and Computational Fluid Dynamics to a Semi-Batch Reaction with Liquid-Liquid Phase Separation (Daiichi Sankyo) *(Reg)Yasuda Tomoki, (Cor)Shiraishi Shohei, (Cor)Oka Sunao, (Reg)Ishikawa Hideaki	liquid-liquid phase separation semi-batch reaction computational fluid dynamics	ST-24	269
14:20– 14:40		Awards ceremony
SY-72 [Symposium of Division of Supercritical Fulids] Latest Trends in Supercritical Fluid Utilization Technology
(15:00–15:20)
15:00– 15:20	D119	[The Outstanding Paper Award] Effect of polymer flocculants on lipid extraction from Pleurochrysis carteraew by using liquefied dimethyl ether (Nagoya U.) *(Reg)Kusumi Kaito, Wang Tao, (Stu)Manabe Aiya, (Kyoto U.) Yonezawa Akiho, Homma Ryosuke, (Nagoya U.) (Reg)Yamamoto Tetsuya, (Kyoto U.) Takaoka Masaki, Oshita Kazuyuki, (Nagoya U.) Kanda Hideki	Microalgae Subcritical fluid Dimethyl ether	SY-72	962
(15:20–16:20)
15:20– 15:40	D120	Development of silica-depressed rubber materials using high-pressure fluid mixing method (Hiroshima U.) *(Stu·PCEF)Hirata Naoki, (Stu·PCEF)Miyamoto Ryotaro, (Reg)Kihara Shinichi	High-pressure Fluid Mixing SiO2/SBR Dynamical Reaction	SY-72	274
15:40– 16:00	D121	Measurement and Kinetic Modeling of Ester-Based VOC Desorption Behavior from High-Performance Activated Carbon Using Supercritical CO₂ (Hiroshima U.) *(Stu·PCEF)Ishihara Masae, (Stu·PCEF)Imai Daichi, (Reg)Ushiki Ikuo	Supercritical carbon dioxide Activated carbon desorption	SY-72	273
16:00– 16:20	D122	Fabrication of Pd nanoparticle-loaded porous carbon architectures via 3D printing and supercritical CO₂-assisted impregnation for catalytic applications (Fukuoka Inst. Tech.) *(Stu)Hanada Koki, (Stu)Haraguchi Hayato, (Stu)Hiraga Shun-ya, (Reg)Matsuyama Kiyoshi	Micro-architected metal structure 3D printing supercritical CO2	SY-72	547
(16:20–17:00)
16:20– 16:40	D123	Analysis of hydration reactions of cyclic dienes under supercritical CO2 (Tohoku U. NICHe) *(Stu)Tahira Keiya, (Tohoku U.) (Reg)Ota Masaki, (Tohoku U. NICHe) (Reg)Inomata Hiroshi, (Resonac) (Reg)Koizumi Yusuke	supercritical CO2 reaction solid catalyst	SY-72	252
16:40– 17:00	D124	Enhancing the capacity of quinone-impregnated carbon using Semi-Batch supercritical impregnation (Tohoku U.) *(Stu·PCEF)Yamamoto Haruto, Ooka Chie, (Stu)Yamada Tomoya, (Reg)Hiraga Yuya, (Reg)Ota Masaki, (Reg)Watanabe Masaru, (Reg)Nakayasu Yuta	supercritical CO2 Battery Impregnation	SY-72	735

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SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)

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