SCEJ 88th Annual Meeting (Tokyo, 2023)
Program search result : メカニズム : 9 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 “メカニズム”; 9 programs are found.
The search results are sorted by the start time.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 1 | PA163 | Elucidation of the enhancement mechanism of particle sedimentation in water by using DC electric field | Solid-liquid separation DC electric field Electrophoresis | 13-b | 360 |
| Day 1 | PA118 | Elucidation of drug-loading mechanism of UiO-66 series | Metal-organic frameworks Dipole moment Drug encapsulation | 12-c | 578 |
| Day 1 | PA124 | Formation Mechanism of Thermogelling PNIPAM Copolymers Prepare by Dispersion Polymerization. | dispersion polymerization thermogelling block copolymer | 12-e | 505 |
| Day 2 | F206 | Elucidation of novel protection mechanism for lipid oxidation using insoluble antioxidant material | insoluble antioxidant oxidation protection lipid oxidation | 5-i | 424 |
| Day 3 | B315 | [Requested talk] In Oil and Chemical industries, the damage mechanisms prediction of facilities from the chemical environments by user development of AI machine learning | AI Decision Tree Damage Mechanism Prediction | SS-5 | 333 |
| Day 3 | H317 | Improved melt-mixing in single-screw extrusion by geometry modification based on mixing mechanism | extrusion melt-mixing | 2-a | 399 |
| Day 3 | PE336 | Investigation of Ammonia Adsorption/Desorption Mechanism over Phosphoric Acid-Modified Activated Carbon for Leaked Ammonia Recovery | Phosphoric Acid - Modified Activated Carbon Leaked Ammonia Adsorption/Desorption | 4-e | 159 |
| Day 3 | H322 | Investigation of mechanisms of superspreading wetting of ink-jetted nanofluid droplets | nanofluid superspreading ellipsometry | 2-a | 128 |
| Day 3 | Q304 | [Requested talk] In Oil and Chemical industries, the damage mechanisms prediction of facilities from the chemical environments by user development of AI machine learning | AI Decision Tree Damage Mechanism Prediction | SS-7 | 338 |
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SCEJ 88th Annual Meeting (Tokyo, 2023)
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