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SCEJ 53rd Autumn Meeting (Nagano, 2022)
Program search result : 探索 : 8 programs
The preprints can be viewed by clicking the Paper IDs.
Yellow-back sessions on Technical sessions will be On-site/online Hybrid sessions, others are Online sessions.
Please check notices on menu page.
Yellow-back sessions on Technical sessions will be On-site/online Hybrid sessions, others are Online sessions.
Please check notices on menu page.
Title (J) field includes “探索”; 8 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 1 | PA114 | Construction of a novel hydrogen production system comprised of methane steam reforming and carbon capture: Investigation of carbon capture catalyst | Steam reforming of methane Carbon capture Structured catalyst | SY-61 | 481 |
| Day 1 | PA119 | Multi-stage structured catalyst system producing syngas and solid carbon from CO2: research of optimum condition | Structured catalyst CO2 methanation CH4 dry reforming | SY-61 | 381 |
| Day 1 | PA119 | Multi-stage structured catalyst system producing syngas and solid carbon from CO2: research of optimum condition | Structured catalyst CO2 methanation CH4 dry reforming | SY-61 | 381 |
| Day 1 | PA114 | Construction of a novel hydrogen production system comprised of methane steam reforming and carbon capture: Investigation of carbon capture catalyst | Steam reforming of methane Carbon capture Structured catalyst | SY-61 | 481 |
| Day 2 | DA201 | Markedly enhanced identification of anti-coronavirus peptides by machine learning | Computer deep learning anti-coronavirus | SY-70 | 32 |
| Day 3 | PB313 | Examination of machine learning to find ion solvation extractants for Ga(Ⅲ) | solvent extraction machine learning Gallium | SY-57 | 421 |
| Day 3 | PB308 | A research for descriptors that contribute to the prediction accuracy of ion solvation extractability to Au(III) by machine learning. | machine learning solvent extraction gold | SY-57 | 259 |
| Day 3 | DC313 | [Invited lecture] Exploration of functional inorganic thin-film materials using autonomous systems | autonomous synthesis inorganic materials functional thin films | ST-21 | 103 |
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SCEJ 53rd Autumn Meeting (Nagano, 2022)
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