SCEJ 87th Annual Meeting (Kobe, 2022)
Last modified: 2022-03-04 12:00:00
Program search result : 物性 : 7 programs
Program of CS-2 is updated.
The preprints are now open (Mar. 2nd). 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. (The participants registered in Period III will get the ID/PW on Mar. 15th.)
The yellow back on the Technical sessions page denotes streaming-live session. (HQ-21 is changed to online.)
The preprints are now open (Mar. 2nd). 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. (The participants registered in Period III will get the ID/PW on Mar. 15th.)
The yellow back on the Technical sessions page denotes streaming-live session. (HQ-21 is changed to online.)
Title (J) field includes “物性”; 7 programs are found.
The search results are sorted by the start time.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 1 | PA148 | Sequence-based prediction of antibody properties by machine learning. | bioinformatics sequence | 7-f | 534 |
| Day 1 | H117 | [Divisional Award] Generalization of Condition for Unpredictable Dynamics of Polymeric Reacting Flow by Comparison between Pre- and Post-Reaction Fluid Properties | flow dynamics reacting flow Weissenberg effect | X-51 | 756 |
| Day 2 | L213 | Development of CO2 hydrogenation catalysts based on characteristics of mixed oxides | CO2 hydrogenation Catalyst Metal oxide composite | 5-a | 185 |
| Day 2 | B220 | Inverse estimation of physical properties using physics informed neural networks in TSSG method for SiC crystal growth | Numerical simulation Top-Seeded Solution Growth Physics Informed Neural Networks | CS-1 | 312 |
| Day 3 | PD311 | Numerical analysis of the effect of physical properties on the melting process of a cylindrical solid | Melting Cylindrical solid Physical property | 2-e | 366 |
| Day 3 | I313 | Prediction of physical propertie by deep learning | Artificial Intelligence Prediction Physical properties | 1-a | 504 |
| Day 3 | PE332 | Single-step solvothermal synthesis of SnO2 composites and their characterization | tin oxide solvothermal reaction composites | 12-d | 390 |
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SCEJ 87th Annual Meeting (Kobe, 2022)
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