SCEJ 88th Annual Meeting (Tokyo, 2023)
Program search result : パラメータ : 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.
Title (J) field includes “パラメータ”; 4 programs are found.
The search results are sorted by the start time.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 2 | PC210 | Calibration of DEM parameters by Bayesian optimization | DEM Parameter calibration Bayesian optimization | 2-f | 594 |
| Day 3 | PD311 | Prediction of nanoparticle dispersion by machine learning with Hansen parameters as input | Hansen solubility parameter nanoparticle dispersion machine learning | 1-b | 486 |
| Day 3 | G304 | Effect of Structural Parameters of Disk Rotor and Operating Conditions on Separation Performance in a Horizontal Distillation Unit | Horizontal distillation Rotator Height Equivalent to a Theoretical Plate | 4-c | 609 |
| 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 |
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SCEJ 88th Annual Meeting (Tokyo, 2023)
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