SCEJ 90th Annual Meeting (Tokyo, 2025)
Last modified: 2025-01-18 14:10:04
Hall and day program : Hall H
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.
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 H
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Hall H, Day 2 | |||||
| 6. Systems, information, and simulation technologies | |||||
| (9:00–10:20) | |||||
| H201 | Effective usage of trouble cases in petrochemical complex | petrochemical complex trouble cases | 6-a | 488 | |
| H202 | Techno economic analysis of thermal power plants with post-combustion CO2 capture in electricity market | Carbon capture and storage Linear programming Chemical absorption | 6-a | 529 | |
| H203 | Development of a multidimensional assessment platform for cryoprotective agents applied to stem cell-derived products | Material design Process design Regenerative medicine | 6-b | 167 | |
| H204 | Bi-objective Bayesian optimization for successive process of CO2 absorption and methanol synthesis | CCUS Bi-objective optimization MeOH synthesis | 6-b | 241 | |
| (10:20–11:40) | |||||
| H205 | Design of mesenchymal stem cell manufacturing processes considering spatial heterogeneity and dynamic variations | Regenerative medicine Kinetic model Stochastic simulation | 6-b | 203 | |
| H206 | Optimal design of thermally coupled distillation sequences | thermally coupled distillation nonsharp separation process synthesis | 6-b | 475 | |
| H207 | Modeling and design of the drying steps in freeze-drying processes combining efficiency and product quality aspects | Biopharmaceuticals cake collapse drying time optimization | 6-b | 574 | |
| H208 | Consideration of the relationship between entropy generation rate and process/equipment design | entropy generation process design equipment design | 6-b | 583 | |
| 14. Wide area | |||||
| (11:40–12:00) | |||||
| H209 | Real Insights from the Frontlines of Deep Tech Startup Management | Startup Entrepreneurship Organizational Development | 14-e | 604 | |
| 1. Fundamental properties | |||||
| (13:00–14:00) | |||||
| H213 | Coating of liposomes with chitosan | liposomes chitosan | 1-a | 594 | |
| H214 | Chitosan microcoating using phase separation of supercritical carbon dioxide | micro-coating supercritical | 1-a | 596 | |
| H215 | Hygroscopicity of single particles of D-glucose Using EDB | Electrodynamic Balance D-glucose Hygroscopicity | 1-b | 699 | |
| (14:00–14:40) | |||||
| H216 | Correlation of mean particle size formed in SAS process using dimensional analysis | dimensional analysis SAS particle size | 1-d | 478 | |
| H217 | Measurement and correlation of viscosity of dense mixtures of CO2 and methanol/1-propanol | Dense fluid mixture Viscosity Rough hard sphere model | 1-a | 650 | |
| (15:00–16:00) | |||||
| H219 | Automation and acceleration of density measurement for mixed solvent using laser doppler vibrometer under high temperatures and high pressures | high-throughput measurement density automation | 1-a | 329 | |
| H220 | Continuous production of liposomes in a high-pressure CO2-water two-phase system combined with ultrasound irradiation. | nano-coating chitosan | 1-a | 597 | |
| H221 | Formation of nanoparticles of polymer using phase separation in high-pressure carbon dioxide-water systems. | nanoparticles chitosan | 1-a | 599 | |
| (16:00–17:00) | |||||
| H222 | Prediction of Excess Surface Tension using ASOG Group Contribution Method | excess surface tension surface tension ASOG group contribution method | 1-a | 11 | |
| H223 | Prediction of physical properties by deep learning | artificial intelligence physical properties prediction | 1-a | 565 | |
| H224 | Evaluation of NRTL parameters determined from ternary liquid-liquid equilibrium data by Gibbs energy topology analysis | Liquid-liquid equilibria NRTL Gibbs energy | 1-a | 658 | |
| Hall H, Day 3 | |||||
| 6. Systems, information, and simulation technologies | |||||
| (9:00–10:00) | |||||
| H301 | On Modeling Arbitrary Boundary Deformations for Granular Flow Simulations | Discrete element method Signed distance function Boundary deformation | 6-c | 81 | |
| H302 | Optimizing Water Intake for Run-of-River Hydropower Using Chemical Plant Control Technology | Hydropower Model Predictive Control process control | 6-d | 251 | |
| H303 | An approximate model of a complex reaction process for controlling a product property. | process control | 6-d | 557 | |
| (10:00–11:00) | |||||
| H304 | Development of uroflowmetry using urine jet images | uroflowmetry Machine learning CFD | 6-f | 27 | |
| H305 | Construction of Property Prediction Model for Polyimide Aerogels Using Semi-Supervised Learning | Materials Informatics Polyimide Aerogel Semi-Supervised Learning | 6-g | 221 | |
| H306 | Identifying Challenges in the Development of an Ocular Deviation Detection System: The Need for Stratification Based on the Difference in Deviation Between Distance and Near Vision | Ocular Deviation Detection System Clinical Data Evaluation | 6-g | 490 | |
| (11:00–12:00) | |||||
| H307 | Chemical process design using bayesian optimization | Process design Bayesian optimization Open source process simulator | 6-e | 21 | |
| H308 | Optimization Study of Plot Plan Using Genetic Algorithm | Plant Design Plot Plan Genetic Algorithms | 6-g | 333 | |
| H309 | Process flow analysis using graph clustering and deployment to Plot Plan design automation | Process Flow Diagram Plant Design Graph Clustering | 6-g | 334 | |
Technical program
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SCEJ 90th Annual Meeting (Tokyo, 2025)
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