
Last modified: 2026-01-20 11:12:38
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Hall N, Day 2 | |||||
| (9:00–10:20) | |||||
| N201 | Economic potential of recent heterogeneous catalysts for ammonia synthesis | heterogeneous catalysts for ammonia synthesis process simulation techno-economics | 6-b | 367 | |
| N202 | Simulation Model Construction for an Integrated E-Fuel Plant with SOEC Co-Electrolysis and Fischer-Tropsch Synthesis | e-fuel Fischer&Tropsch SOEC co-electrolysis | 6-b | 461 | |
| N203 | Development of an estimation method for CO2 capture amount using reduced chemical reaction models | CCS Absorption Bayesian optimization | 6-b | 150 | |
| N204 | Application of an Inferential Property Model to Actual Process Data with Variable Time Delays | process control | 6-d | 716 | |
| (10:20–10:40) | |||||
| N205 | [The SCEJ Award for Outstanding Young Researcher] Development of novel mathematical models for solid drug product manufacturing and application to process design | 0-c | 786 | ||
| (10:40–11:40) | |||||
| N206 | Activities in the WG3 Alarm Management of PSE Committee, Division of SIS | Alarm Management Enquete Plant Operation | 6-b | 505 | |
| N207 | Energy transition effect of post-combustion CO2 capture on greenhouse gas mitigation: case study on amine-based chemical absorption. | CO2 capture Life cycle assessment Process simulation | 6-b | 731 | |
| N208 | Optimization of temperature ramp profiles in ceramic firing process: GNN vs. PINN | surrogate model neural network optimization | 6-g | 161 | |
| (13:00–14:00) | |||||
| N213 | Development and Demonstration of a Soft Sensor for Predicting Chemical Production Rate and an Estimation-Based Control System in a Bioreactor. | Softsensor Adaptive Control Bioreactor | 6-d | 305 | |
| N214 | Application of nonlinear model predictive control in antibody drug manufacturing | Antibody drug manufacturing Process Nonlinear model predictive control Optimization of fed-batch cell culture process | 6-d | 327 | |
| N215 | Modeling and analysis of antibody production processes considering the variability of cell clones | CHO cell cultivation modeling | 6-b | 513 | |
| (14:00–15:00) | |||||
| N216 | Knowledge Management Method for Plot Plan Design Automation | Plot Plan Knowledge Management Design Automation | 6-e | 227 | |
| N217 | Development of an Automated Plot Plan Design System | Plot Plan Design Automation Algorithm | 6-e | 237 | |
| N218 | Data-Driven Operational Support for Fluidized-Bed Catalytic Reactions in Commercial Plants | catalyst fluidized-bed simulation | 6-e | 318 | |
| (15:20–16:00) | |||||
| N220 | In-line spectroscopic monitoring of phase structure for polymer processing using a light scattering model | In-line analysis polymer blends phase structure | 6-g | 200 | |
| N221 | A zero-shot quality prediction method for new combinations of materials and processes | Transfer learning Zero-shot regression Process Change | 6-f | 165 | |
| (16:00–17:00) | |||||
| N222 | Combining Universal Machine Learning Interatomic Potential with Rare Event Sampling Methods for Polymer Polymerization and Degradation | uMLIP reaction rare event | 6-f | 336 | |
| N223 | Accelerating Automated Physical Model Building by Partitioning Equation-Variable Graphs | Automated physical modeling Equation-based modeling Graph partitioning | 6-f | 663 | |
| N224 | Automated classification of organic reaction mechanisms in heterogeneous real-world data via transformer and domain generalization | Machine learning Neural Network Encoder | 6-g | 137 | |
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SCEJ 91st Annual Meeting (Kyoto, 2026)
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