SCEJ 88th Annual Meeting (Tokyo, 2023)
Program search result : 信州大院総理工 : 4 programs
The preprints(abstracts) are now open (Mar. 1st). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants in Period I/II and invited persons are required.
Affillations (J) field begins with “信州大院総理工”, “Shinshu U.”; 4 programs are found.
The search results are sorted by the start time.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 3 | PD333 | Prediction of product composition using machine learning in co-processing of bio-oil and heavy oil in catalytic cracking process | bio-oil co-processing machine learning | 5-a | 539 |
| Day 3 | PD338 | Construction of kinetic model from small and incomplete dataset using chemical reaction neural network | physics informed machine learning kinetic model data-driven | 5-a | 659 |
| Day 3 | PD368 | Deoxygenation reaction mechanism in co-processing of bio-oil and triglyceride by catalytic cracking | catalytic cracking triglyceride bio-oil model compounds | 5-g | 647 |
| Day 3 | F321 | Effect of plastic addition on catalytic cracking of polycyclic aromatic hydrocarbons | catalytic cracking polycyclic aromatic hydrocarbons plastic | 5-a | 627 |
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SCEJ 88th Annual Meeting (Tokyo, 2023)
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