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SCEJ 57th Autumn Meeting
Sep. 14 (Mon) - 16 (Wed), 2026
Higashi-hiroshima Campus, Hiroshima University
Japanese page
There is a need to develop systematic methodologies for rational decision making in chemical plant design, control, planning, operation, diagnosis, and maintenance, consistent with the ever-increasing sophistication, automation, and informatization of chemical plants. This symposium aims to provide an opportunity for active discussion of recent research and technology in the field of process systems engineering.
*This session is eligible for the SIS Section Award.
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 Popular Keywords inthis topics | Keywords | Count | |
|---|---|---|---|
| Machine learning | 3 |  | |
| Transfer learning | 2 | | |
| Hybrid modeling | 1 | | |
| Acknowledgement number | Title/Authors | Keywords | Style |
|---|---|---|---|
| 27 | Proposal for a Value Chain Architecture with CPS Resilience | Value Chain Independent Protection Layer Distributed Networked Automation | O |
| 75 | Accelerating Fluid Simulations with PINN by Combining Pre-Trained Subdomain Models | PINN Transfer learning Fluid simulation | O |
| 99 | 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 | O |
| 113 | Mechanistic modeling coupled with CFD for predictive bioprocess scale-up | Compartment model Spatial heterogeneity Biologics | O |
| 141 | Data Collection for Process Identification that Maximizes the Performance of Model Predictive Control | model predictive control process identification identification for control | O |
| 161 | Advancing Model Entry Points in Biotherapeutic Processes: An Industrial Perspective | in silico modeling process modeling biotherapeutics | O |
| 173 | A computer-aided screening of cryoprotective agents for stem cells incorporating an intracellular solution viscosity model | Cryopreservation Manufacturing Hybrid modeling | O |
| 198 | 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 | O |
| 423 | Toward Process Optimization via LLM-Driven Sequential Superstructure Updating | Optimization LLM Superstructure | O |
| 446 | Mechanism of Negative Transfer under Target Non-Identifiability in Frustratingly Easy Domain Adaptation with Linear Regression | Transfer learning Negative transfer Machine learning | O |
| 476 | Variability assessment of cell cultivation processes for monoclonal antibody production using hierarchical Bayesian estimation | Sensitivity analysis Operational design Biopharmaceuticals | O |
| 532 | Kinetic analysis via gradient experiments using an IoT modular automated experiment system | Gradient Experiment Kinetic Analysis Automated Experiment | O |
| 601 | Scale-up analysis of flow synthesis for drug substances using Stevens oxidation | Liquid-liquid reaction Flow chemistry Scale-up | O |
| 643 | Integrated Automation of Plot Plan Design and Piping 3D Design through Collaboration between Auto Plot PATHFINDER and PlantStream | Plot plan Piping Design automation | O |
| 700 | Prediction of Transport Properties for Unseen Molecular Structures and Extrapolative Conditions Using Physics-Guided Machine Learning | Transport property Physics-informed machine learning Extrapolation prediction | O |
| 708 | Solvent Selection based on Multi-objective Evaluation of Reaction and Separation Performance: Application to Amidation | Solvent selection Multi-objective optimization Conceptual process design | O |
| 779 | Autonomous Process Synthesis using Reinforcement Learning Integrated with Role-Oriented Ontology | Reinforcement learning Process flowsheet synthesis Process ontology | O |
| 890 | Defect Diagnosis of Spatial Process Data Using Causal Discovery for Warpage in Injection Molding (MCC Adv. Moldings/Nagoya U.) *(Reg)Tanaka Ryosuke$B!&(B(Nagoya U./Hokkaido U./NAIST) (Reg)Fujiwara Koichi | Defect diagnosis Causal discovery Injection molding | O |
Organizing Committee of SCEJ 57th Annual Meeting (2026)
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