Authors field exact matches “Yamamoto S.”; 1 program is found.
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Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
---|---|---|---|---|---|
Day 1 | Q109 | Development of a graph neural network (GNN) model for predicting the solubility of organic compounds in supercritical CO2 | Supercritical Solubility prediction Machine learning | SY-73 | 851 |
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SCEJ 55th Autumn Meeting (Sapporo, 2024)