
Last modified: 2026-07-16 06:38:20
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| ST-21 [Trans-Division Symposium] Frontiers of Data-driven Research and Development | |||||
| (10:00–11:00) | |||||
| A204 | Machine learning-based extrapolative prediction of dual-functional materials for CO and CH4 production via CO2 capture and reduction | CO2 capture and reduction (CCR) dual-functional materials (DFMs) machine learning (ML) | ST-21 | 264 | |
| A205 | Development of a data-driven model for estimation of reaction diffusion mechanisms in porous solid catalysts | Reaction mechanism Reaction-diffusion system Data-driven | ST-21 | 909 | |
| A206 | Integrating DFT Reaction Kinetics with Group Contribution-Based Environmental Impacts for Sustainable Solvent Selection | Density functional theory (DFT) Solvents screening Reaction rates | ST-21 | 326 | |
| (11:00–12:00) | |||||
| A207 | Data-Driven Research in MMA Production Catalyst Development: Utilization of HTS Data Based on Reaction Engineering | high throughput kinetics catalyst deactivation | ST-21 | 850 | |
| A208 | Quantifying propagation distance of structural information in crystals | zeolite intergrowths crystal growth simulation | ST-21 | 462 | |
| A209 | The relationship between entropy production governing crystal growth and information entropy identifying pattern formation | entropy production information entropy crystal growth | ST-21 | 389 | |
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SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)
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