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SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)

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

Hall and day program : Hall A

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

Hall A(K1F K108)

Hall A, Prev. Day | Hall A, Day 1 | Hall A, Day 2 | Hall A, Day 3
SP-1 | ST-21 | HQ-13

TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Hall A(K1F K108), Prev. Day(Sep. 13)
SP-1 [Special Symposium]
Action Plan 2050 Toward Carbon Neutrality Based on Chemical Engineering
(13:00–17:00)
13:00– 13:30A011Carbon Independence Vision 5.0: Circular Transformation from Hard-to-Abate Industries
(UTokyo) (Reg)Tsuji Yoshiko
carbon cycling
gap analyses
promotion system
SP-1965
13:30– 14:00A013[Invited lecture] Hiroshima Prefecture's Pathway to Carbon Neutrality
(Hiroshima Pref.) Kakegawa Masako
Hiroshima Prefecture
Carbon Recycling
R&D Support
SP-1966
14:00– 14:40A015[Invited lecture] GX Policy Trend and Development ~Vision & Execution~
(GX Acceleration Agency) Shigetake Naoki
GX=Carbon Neutral/Growth Strategy/Energy Security
GX Chemicals
SP-1967
14:40– 15:00Break
15:00– 15:40A018[Invited lecture] Mitsui Chemicals' Initiatives Toward Creating the Green Sustainable Chemicals Market
(Mitsui Chemicals) (Reg)Uehara Yoshikazu
Green Sustainable Chemicals
Renewable plastics
Blue Value products
SP-1968
15:40– 16:50Panel discussion
Facilitator: (JGC Holdings) Mizuguchi Yoshihiro
Panelists: (Hiroshima Prefecture) Kakegawa Masako, (GX Acceleration Agency) Shigetake Naoki, (Mitsui Chemicals) Uehara Yoshikazu, (NIES) Fujii Minoru
16:50– 17:00Closing remarks
(SCEJ President) (Reg)Kawase Motoaki
Hall A(K1F K108), Day 1(Sep. 14)
ST-21 [Trans-Division Symposium]
Frontiers of Data-driven Research and Development
(10:00–11:20)
10:00– 10:20A104Development of a Machine Learning Model for Predicting Solubility in Binary Solvent Systems at Arbitrary Temperatures
(Meiji U.) *(Stu)Watanabe Hibiki, (Reg)Kaneko Hiromasa
Chemoinformatics
Solubility prediction
Machine learning
ST-21104
10:20– 10:40A105A data-driven framework for identifying critical solvent parameters in hydrogenation reactions
(AIST) *(Reg)Febi Yusniyanti, (Reg)Benny Wahyudianto, Saito Takashi, (Reg)Kataoka Sho
Machine learning
Hydrogenation
Solvent effect
ST-21778
10:40– 11:00A106Optimal Design of e-Methanol Production Process Using Machine Learning and Superstructure Optimization
(Meiji U.) *(Stu)Sato Takao, (Reg)Kaneko Hiromasa
e-methanol
Machine learning
Process design
ST-21301
11:00– 11:20A107Verification and Evaluation of Large Language Models for Supporting Chemical Process Design
(Kyoto U.) *(Reg)Takahara Wataru, Suganuma Ryu, (Reg)Miyamoto Souta, Tanabe Katsuaki
Large Language Models
Chemical Process
Benchmark
ST-21481
(11:20–12:00)
11:20– 12:00A108[Invited lecture] Hybrid modeling for connecting experimental data with process design
(U. Tokyo) (Reg)Sugiyama Hirokazu
hybrid modeling
pharmaceutical manufacturing
design space
ST-21920
(13:00–13:40)
13:00– 13:40A113[Invited lecture] The Frontline of AI and Autonomous Experimentation for Winning the Competition
(Asahi Kasei) (Cor)Tsukumo Hiroshi
AI agent
Autonomous experiment
Materials informatics
ST-21921
(13:40–15:00)
13:40– 14:00A115Sequential Processing of Long Texts Using Large Language Models for Literature Mining of Endothelial Cell Culture Protocols
(UTokyo) *(Stu)Ito Shusuke, Shioda Hiroki, (Stu)Shimodaira Gaku, (Reg)Nishikawa Masaki, (Reg)Sakai Yasuyuki, (Reg)Muraoka Koki
LLM
Text mining
Endothelial cell
ST-21791
14:00– 14:20A116Construction of machine learning models for predicting in vivo responses of artificial bone materials using in vitro indicators
(Meiji U.) *(Stu)Masuyama Naoki, Iwama Shoki, Aizawa Mamoru, (Reg)Kaneko Hiromasa
artificial bone
in vivo
in vitro
ST-21112
14:20– 14:40A117Construction of a miRNA-mRNA Binding Prediction Model Using Unknown Interaction Data and Performance Evaluation with Non-binding Data
(Meiji U.) *(Stu)Endo Shion, (Stu)Ishikawa Eri, (U. Tokyo) (Reg)Nakamura Noriko, (Reg)Ohta Seiichi, (Meiji U.) (Reg)Kaneko Hiromasa
Machine Learning
bioinformatics
RNA
ST-21305
14:40– 15:00A118Development of an instability analysis for freezing process changes in cell-based products
(U. Osaka) *(Reg)Uno Yuki, (Stu)Tanaka Koichi, (UTokyo) (Reg)Hayashi Yusuke, (Reg)Sugiyama Hirokazu, (Iwatani) Nakamura Tetsuji, (U. Osaka) (Reg)Kino-oka Masahiro
Instability analysis
Freezing process change
Cell-based product
ST-21578
(15:20–16:40)
15:20– 15:40A120Automated MOF Synthesis Using a Robotic Arm and an Electric Pipette
(Tohoku U. FRIS) *(Reg)Hashimoto Yusuke, (Tohoku U.) (Stu·PCEF)Muramoto Takaya, Terada Hikari, Harim Song, Shimpo Aoi, (Int)Yuan Wang, (Tohoku U. FRIS) (Reg)Tomai Takaaki
Metal-organic framework
Laboratory automation
Particle size control
ST-21450
15:40– 16:00A121Advancing Chemical Engineering Research through an Integrated AI Platform
(Aizoth) *(Reg)Rajapriya Navin, (Cor)Kawajiri Kotaro
AI
Cheminformatics
Optimization
ST-21635
16:00– 16:20A122Development and evaluation using novel chemical feature-augmented GNN
(Kogakuin U.) *(Stu)Kondo Kazuma, (Reg)Higuchi Hayato, (Reg)Miyagawa Masaya, (Reg)Takaba Hiromitsu
machine learning
molecular graph
coarse graph
ST-21754
16:20– 16:40A123Fast estimation of H+ conductive barriers in perovskite oxides using the bond valence approach with machine learning
(Science Tokyo) *(Stu)Amo Masaki, Ito Kazuma, (Reg)Kameda Keisuke, (Reg)Manzhos Sergei, (Reg)Ihara Manabu
H+ conductive oxides
Machine learning
Solid oxide fuel cell
ST-21474
Hall A(K1F K108), Day 2(Sep. 15)
(10:00–11:00)
10:00– 10:20A204Machine learning-based extrapolative prediction of dual-functional materials for CO and CH4 production via CO2 capture and reduction
(AIST) *(Reg)Miyazaki Shinta, (Reg)Ono Yuya, (Reg)Sasayama Tomone, (Reg)Kosaka Fumihiko, Mine Shinya
CO2 capture and reduction (CCR)
dual-functional materials (DFMs)
machine learning (ML)
ST-21264
10:20– 10:40A205Development of a data-driven model for estimation of reaction diffusion mechanisms in porous solid catalysts
(Shinshu U.) *(Stu)Nakajima Riku, (Reg)Shimada Iori
Reaction mechanism
Reaction-diffusion system
Data-driven
ST-21909
10:40– 11:00A206Integrating DFT Reaction Kinetics with Group Contribution-Based Environmental Impacts for Sustainable Solvent Selection
(MI-6) *(Stu)Ang Art Wei Yao, (Cor)Mendoza Zamarripa Elisa Margarita, (Reg)Vazquez Castillo Jose Mauro, (Cor)Maekawara Hiroki, (Cor)Chen Chia Hsiu
Density functional theory (DFT)
Solvents screening
Reaction rates
ST-21326
(11:00–12:00)
11:00– 11:20A207Data-Driven Research in MMA Production Catalyst Development: Utilization of HTS Data Based on Reaction Engineering
(Mitsubishi Chemical) *(Reg)Kato Yuki, (Reg)Ninomiya Wataru
high throughput
kinetics
catalyst deactivation
ST-21850
11:20– 11:40A208Quantifying propagation distance of structural information in crystals
(UTokyo) *(Stu)Sun Yichi, (Reg)Muraoka Koki, Nakayama Akira
zeolite intergrowths
crystal growth
simulation
ST-21462
11:40– 12:00A209The relationship between entropy production governing crystal growth and information entropy identifying pattern formation
(UOsaka) *(Reg)Ban Takahiko, Fujiwara Ryo, Ishii Hibiki, (Yamagata U.) Nabika Hideki
entropy production
information entropy
crystal growth
ST-21389
Hall A(K1F K108), Day 3(Sep. 16)
HQ-13 Symposium of the Working Committee on CCUS
(9:00–10:20)
9:00– 9:20A301Estimation of amine solvent degradation and operating condition exploration using reduced chemical reaction models
(Toshiba) *(Reg)Nakamura Kotaro, (Cor)Fukuta Masato, (Cor)Chiba Noriko, (Cor)Yamashita Katsuya, (Cor)Iwasa Kiyohiko
CCS
Degradation
Bayesian optimization
HQ-13121
9:20– 9:40A302Structural analysis of monocarbamic acid formed during CO2 absorption process of isophorone diamine
(Tokyo Metro. U.) *(Stu)Kumagai Osamu, Yagihara Rikuya, Kikkawa Soichi, Kawasoko Hideyuki, Higaki Tatsuya, (U. Tokyo) Yonesato Kentaro, (Kyoto Inst. Tech.) Kanbayashi Naoya, (Kanazawa U.) (Reg)Yamada Hidetaka, (U. Tokyo) Suzuki Kosuke, (Tokyo Metro. U.) Yamazoe Seiji
direct air capture
liquid-solid phase separation
isophorone diamine
HQ-13848
9:40– 10:00A303Evaluation of operating conditions and CO2 capture performance in a 1t/y DAC pilot plant utilizing unused cryogenic
(Nagoya U.) *(Stu)Tokiwai Masaki, (Reg)Yanase Keiichi, (Reg)Machida Hiroshi, (Reg)Norinaga Koyo
direct air capture
process simulation
modeling
HQ-13398
10:00– 10:20A304Solvent-Free Direct CO2 Capture from Air Using a Blowing-Type Device
(Tokyo Metro. U.) *(Int)Xue Xiaopan, Li Xuanbing, Kikkawa Soichi, Kawasoko Hideyuki, Higaki Tatsuya, Yamazoe Seiji
Direct Air Capture
Solvent-free System
Blowing-type Device
HQ-13633
10:20– 10:40Break
(10:40–12:00)
10:40– 11:00A306Enhanced Oil Recovery Methods Using Thermodynamic Flooding through Active Fluids
(UOsaka) *(Reg)Ban Takahiko, Nishioka Tsubasa, Shingaki Mizuki
active fluids
Liquid-Liquid Phase Separation
Enhanced Oil Recovery
HQ-13464
11:00– 11:20A307Continuous CO2 capture and steady-state syngas production using a particle circulation system with a dual-function material
(AIST) *(Reg)Ono Yuya, Tokuda Makiko, (Reg)Miyazaki Shinta, (Reg)Sasayama Tomone, (Reg)Kosaka Fumihiko, (NIT Tsuruoka) (Reg)Kuramoto Koji
dual-function materials
CO2 capture and utilization
moving-bed reactor
HQ-13178
11:20– 12:00A308[Invited lecture] From CO2 to Methanol : Development Toward the Commercialization of g-MethanolTM Technology
(Toyo Eng.) (Cor)Okazaki Azusa
Green Methanol
Carbon Neutral
Energy Security
HQ-13428
(13:00–14:20)
13:00– 13:40A313[Invited lecture] Production of Liquid Synthetic Fuels through an Integrated Process Utilizing SOEC Co-Electrolysis and FT Synthesis
(Mitsubishi Heavy Industries) (Cor)Katsuki Norito
Synthetic fuel production
SOEC Co-Electrolysis
FT synthesis
HQ-13429
13:40– 14:00A315Evaluation of CO2 emissions in CO2 capture process using solid absorbents
(Waseda U.) *(Stu)Ashida Takeru, (Reg)Yoshida Keisuke, (Reg)Noda Suguru, (Reg)Hanada Nobuko
Life cycle assessment (LCA)
Carbon capture
Solid CO2 absorbent
HQ-13540
14:00– 14:20A316Adsorption-Desorption Dynamics of Zeolite-Coated Adsorbent Layers in Conductive Heating CO2-TSA Process
(Kanazawa U.) *(Stu)Enmoto Koutarou, (Reg)Osaka Yugo, (Reg)Tsujiguchi Takuya, (Reg)Kodama Akio
TSA
Zeolite
Heat exchanger
HQ-13433
14:20– 14:40Break
(14:40–15:40)
14:40– 15:00A318Synthesis and characterization of zeolitic adsorbents derived from bentonite for CO2 capture
(Kanazawa U.) *(Stu)Nabilla Itsna, (Reg)Takiguchi Noboru, (Reg)Kodama Akio, (Reg)Kumita Mikio
Zeolitic adsorbent
Bentonite
CO2 adsorption
HQ-13652
15:00– 15:20A319Investigation of a CO2 capture method by electrochemical hydrogen pumping
(Hokkaido U.) *(Stu)Kitagawa Taiyo, Miyashita Takuto, Ueda Mikito, Matsushima Hisayoshi
fuel cell
electrodialysis
electrochemical hydrogen pumping
HQ-13138
15:20– 15:40A320Effects of pore structure on carbonation of cement paste blended with blast furnace slag
(Waseda U.) *(Stu·PCEF)Yokoi Yuya, (Reg)Namiki Katsuya, (Reg)Wen Yuli, (Denka) (Cor)Hara Hirohumi, (Waseda U.) (Reg)Noda Suguru
CO2-absorbing concrete
Blast furnace slag
Pore structure
HQ-13221
(15:40–16:20)
15:40– 16:20A321[Invited lecture]
(TBA) Tba
TBA
HQ-13430
16:20– 16:40Awards ceremony

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SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)

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