SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)
Last modified: 2026-07-16 06:38:20
Hall and day program : Hall K, Day 2 : K214
The chairs are under negotiation.
Yellow-backs on Technical sessions denote the Hybrid sessions.
(All other sessions are on-site only sessions).
Yellow-backs on Technical sessions denote the Hybrid sessions.
(All other sessions are on-site only sessions).
Hall K, Day 2
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| SY-82 [Symposium of Division of Systems, Information and Simulation Technologies] Recent Research and Development of Process Systems Engineering | |||||
| (9:00–10:00) | |||||
| K201 | Proposal for a Value Chain Architecture with CPS Resilience | Value Chain Independent Protection Layer Distributed Networked Automation | SY-82 | 27 | |
| K202 | Defect Diagnosis of Spatial Process Data Using Causal Discovery for Warpage in Injection Molding | Defect diagnosis Causal discovery Injection molding | SY-82 | 890 | |
| K203 | Advancing Model Entry Points in Biotherapeutic Processes: An Industrial Perspective | in silico modeling process modeling biotherapeutics | SY-82 | 161 | |
| (10:00–11:00) | |||||
| K204 | Scale-up analysis of flow synthesis for drug substances using Stevens oxidation | Liquid-liquid reaction Flow chemistry Scale-up | SY-82 | 601 | |
| K205 | A computer-aided screening of cryoprotective agents for stem cells incorporating an intracellular solution viscosity model | Cryopreservation Manufacturing Hybrid modeling | SY-82 | 173 | |
| K206 | Variability assessment of cell cultivation processes for monoclonal antibody production using hierarchical Bayesian estimation | Sensitivity analysis Operational design Biopharmaceuticals | SY-82 | 476 | |
| (11:00–12:00) | |||||
| K207 | Mechanistic modeling coupled with CFD for predictive bioprocess scale-up | Compartment model Spatial heterogeneity Biologics | SY-82 | 113 | |
| K208 | Molecular generation using graph representations to lower reorganization energy of organic semiconductors near the boundary of applicability domain of machine learning model | Machine learning Generative adversarial networks Organic semiconductor | SY-82 | 99 | |
| K209 | Prediction of Transport Properties for Unseen Molecular Structures and Extrapolative Conditions Using Physics-Guided Machine Learning | Transport property Physics-informed machine learning Extrapolation prediction | SY-82 | 700 | |
| (13:00–14:00) | |||||
| K213 | Mechanism of Negative Transfer under Target Non-Identifiability in Frustratingly Easy Domain Adaptation with Linear Regression | Transfer learning Negative transfer Machine learning | SY-82 | 446 | |
| K214 | Design of polymeric palladium catalysts for solid-state Suzuki-Miyaura type cross-coupling reactions using optimization methods | Machine learning Suzuki-Miyaura cross coupling Pd catalyst | SY-82 | 198 | |
| K215 | Accelerating Fluid Simulations with PINN by Combining Pre-Trained Subdomain Models | PINN Transfer learning Fluid simulation | SY-82 | 75 | |
| (14:00–15:00) | |||||
| K216 | Kinetic analysis via gradient experiments using an IoT modular automated experiment system | Gradient Experiment Kinetic Analysis Automated Experiment | SY-82 | 532 | |
| K217 | Autonomous Process Synthesis using Reinforcement Learning Integrated with Role-Oriented Ontology | Reinforcement learning Process flowsheet synthesis Process ontology | SY-82 | 779 | |
| K218 | Data Collection for Process Identification that Maximizes the Performance of Model Predictive Control | model predictive control process identification identification for control | SY-82 | 141 | |
| (15:00–16:00) | |||||
| K219 | Integrated Automation of Plot Plan Design and Piping 3D Design through Collaboration between Auto Plot PATHFINDER and PlantStream | Plot plan Piping Design automation | SY-82 | 643 | |
| K220 | Toward Process Optimization via LLM-Driven Sequential Superstructure Updating | Optimization LLM Superstructure | SY-82 | 423 | |
| K221 | Solvent Selection based on Multi-objective Evaluation of Reaction and Separation Performance: Application to Amidation | Solvent selection Multi-objective optimization Conceptual process design | SY-82 | 708 | |
Technical program
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SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)
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