Last modified: 2025-01-18 14:10:04
Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
---|---|---|---|---|---|
Hall H, Day 2 | |||||
(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 | |
Hall H, Day 3 | |||||
(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 |
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SCEJ 90th Annual Meeting (Tokyo, 2025)