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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.
\n\n*This session is eligible for the SIS Section Award.
Most recent update: 2026-06-07 07:33:01
 The keywords that frequently used in this topics code. | Keywords | Number | |
|---|---|---|---|
| Generative adversarial networks | 1 |  | |
| PINN | 1 | | |
| Distributed Networked Automation | 1 | | |
| Transfer learning | 1 | | |
| Biologics | 1 | | |
| Fluid simulation | 1 | | |
| Organic semiconductor | 1 | | |
| Machine learning | 1 | | |
| Independent Protection Layer | 1 | | |
| Spatial heterogeneity | 1 | | |
| Value Chain | 1 | | |
| Compartment model | 1 | | |
| ACKN No. | Title/Author(s) | 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 |
Organizing Committee of SCEJ 57th Annual Meeting (2026)
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