SCEJ 88th Annual Meeting (Tokyo, 2023)
Program search result : Tokyo U. Sci. : 3 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 field begins with “Tokyo U. Sci.”; 3 programs are found.
The search results are sorted by the start time.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 3 | R302 | [Requested talk] Estimation of interaction parameters of Peng-Robinson EoS by an artificial neural network | Peng-Robinson EoS Artificial neural network | HQ-21 | 361 |
| Day 3 | G316 | Prediction of physical property by deep learning | deep learning physical property prediction | 1-a | 134 |
| Day 3 | R306 | [Requested talk] Theory-driven Machiene Learning for Chemical Engineering | Machine learning Artificial Intelligence Big data | HQ-21 | 471 |
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SCEJ 88th Annual Meeting (Tokyo, 2023)
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