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SCEJ 57th Autumn Meeting
Sep. 14 (Mon) - 16 (Wed), 2026
Higashi-hiroshima Campus, Hiroshima University
Japanese page
Fluid phase properties and solvent characteristics are crucial insights not only in the development of chemical and materials processes but also in the design of final products. In recent diverse product development landscape, accelerating process development through the use of information technology is essential. This symposium will focus on accelerating the process from raw material and solvent molecule exploration and selection to process development. We will share information and discuss the modeling of fluid phase properties and solvent characteristics using information technologies such as machine learning and image analysis, as well as the rapid measurement of data necessary for information technology and the construction of soft sensors. Outstanding student presentations will be awarded a student award.
Most recent update: 2026-06-27 20:33:01
 The keywords that frequently used in this topics code. | Keywords | Number | |
|---|---|---|---|
| Machine learning | 3 |  | |
| emulsion | 2 | | |
| computational fluid dynamics (CFD) | 2 | | |
| mixing | 1 | | |
| ACKN No. | Title/Author(s) | Keywords | Style |
|---|---|---|---|
| 126 | Machine-Learning-Based Rapid Characterization of Emulsion Properties | Emulsion Machine learning Random forest algorism | O |
| 148 | [Invited lecture] Data-Driven Design of Nanocarbon Dispersions Using Machine Learning and Automated Experimentation | machine learning dispersion nanocarbon | O |
| 154 | Rheology-Informed Generative AI for In Silico Optimization of Morphology Fidelity in Extrusion-Based 3D Bioprinting | 3D bioprinting Generative AI Closed-loop optimization | O |
| 234 | [Invited lecture] New business making examples with AI | AI expertise business | O |
| 257 | In-situ droplet evaluation of supercritical CO2 emulsions in a microfluidic process | dynamic light scattering emulsion supercritical fluid | O |
| 269 | [Invited lecture] Application of Semi-Empirical Model and Computational Fluid Dynamics to a Semi-Batch Reaction with Liquid-Liquid Phase Separation | liquid-liquid phase separation semi-batch reaction computational fluid dynamics | O |
| 272 | [Invited lecture] Acceleration of Process Development with an In House CFD Platform | simulation computational fluid dynamics (CFD) adaptive mesh refinement (AMR) | O |
| 386 | [Invited lecture] Scale-Up Study of a Slurry Bubble Column Reactor for CO2 Reduction | carbon neutrality slurry bubble column computational fluid dynamics (CFD) | O |
| 704 | Extension of Dushman Reaction Kinetics to a Wide Range of Conditions Using an AI-Based Rate Law | Dushman reaction Extrapolation Machine learning | O |
| 759 | Prediction of Sugar Reactions in High-Temperature and High-pressure Water by Natural Language Processing | Natural language processing Sugars Reaction product prediction | O |
| 767 | Thermophysical Properties and Finite Expansion Mechanism in CO2-Expanded Ionic Liquid via Molecular Dynamics Simulation | molecular dynamics simulation CO2-expanded ionic liquid interfacial behavior | O |
| 928 | [Invited lecture] Rapid Prediction of Flow Characteristics for Liquid-Liquid Slug Flow Process Design | liquid-liquid slug flow flow pattern mixing | O |
Organizing Committee of SCEJ 57th Annual Meeting (2026)
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