Last modified: 2024-09-19 02:24:28
Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
---|---|---|---|---|---|
SY-73 [Symposium of Division of Supercritical Fulids] Latest Trends in Supercritical Fluid Utilization Technology | |||||
(9:00–10:20) (Chair: | |||||
Q101 | Drug impregnation process onto mesoporous silica SBA-15 by supercritical fluid method | Supercritical carbon dioxide, Mesoporous silica drug delivery system | SY-73 | 619 | |
Q102 | Improvement of performance of Ph-BTBT-10 thin-film transistors produced by rapid expansion of supercritical solutions (RESS) using CO2 | RESS Organic thin films Supercritical CO2 | SY-73 | 822 | |
Q103 | Evaluation of salt reduction effects on NaCl particles produced by supercritical assisted atomization with spray drying (SAA-SD) using CO2 | Reducing salt Supercritical assisted atomization Supercritical CO2 | SY-73 | 838 | |
Q104 | Preparation of β-carotene nanoparticles in supercritical CO2 antisolvent precipitation by mixing with liquefied DME feed solution using swirl mixer | beta-carotene nanoparticle supercritical CO2 antisolvent liquefied DME | SY-73 | 94 | |
(10:20–11:00) (Chair: | |||||
Q105 | [Requested talk] Attentions in understanding solubility and phase equilibria of supercritical systems in terms of phase rules | Supercritical Phase Rules solubility | SY-73 | 205 | |
(11:00–12:00) (Chair: | |||||
Q107 | QM simulations of precipitation mechanism of Mn(II)-citrate complex formed from citric acid leaching of LiMn2O4 | Hydrothermal leaching Mn(II)-citrate complex QM | SY-73 | 761 | |
Q108 | Prediction of Solubility of Quinones in Supercritical Carbon Dioxide for Fabrication of Organic Materials Impregnated Carbon Electrodes | Supercritical Carbon Dioxide Solubility Capacitor | SY-73 | 224 | |
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 | |
(13:00–13:40) (Chair: | |||||
Q113 | [Invited lecture] Physical property prediction based on machine learning and ab initio calculation | Machine learning Physical property Transfer learning | SY-73 | 537 | |
(13:40–14:40) (Chair: | |||||
Q115 | Molecular informatic and thermodynamic analysis of promoting effect on pharmaceutical cocrystallization in high-pressure CO2 | pharmaceutical crystal thermodynamic quantum chemical calculation | SY-73 | 610 | |
Q116 | Thermal characteristics of pharmaceutical crystals in high-temperature supercritical carbon dioxide | Supercritical carbon dioxide Thermal decomposition Organic compounds | SY-73 | 779 | |
Q117 | Optimization of micro-flow system for a continuous synthesis of silver nanoparticles using supercritical CO2 emulsion | silver nanoparticle supercritical CO2 emulsion flow synthesis | SY-73 | 945 | |
Break | |||||
(15:00–15:40) (Chair: | |||||
Q119 | [Invited lecture] Construction of an automated synthesis/analysis system directly connecting a supercritical fluid chromatograph and a synthesis robot. | supercritical fluid chromatograph automated synthesis robot information science | SY-73 | 297 | |
(15:40–16:40) (Chair: | |||||
Q121 | Fundamental Study on the Application of Supercritical Fluid Chromatography to Kinetic Analysis of Cyclic Carbonate Synthesis | supercritical fluid chromatography CO2 cycloaddition reaction ionic liquid | SY-73 | 221 | |
Q122 | PdCu nanoparticle catalysts through supercritical CO2-assisted immobilization for flow Sonogashira coupling reaction | PdCu nanoparticle Sonogashira coupling reaction flow reactor | SY-73 | 878 | |
Q123 | Supercritical CO2 assisted Cu nanoparticle/MOF composite preparation for CO2 hydrogenation reaction | Cu nanoparticle CO2 hydrogenation reaction metal-organic framework | SY-73 | 871 | |
(16:40–17:40) (Chair: | |||||
Q124 | Process design based kinetic approach on synthesis of iron oxide nanoparticles using supercritical CO2 method | kinetic analysis supercritical CO2 iron oxide nanopartice | SY-73 | 613 | |
Q125 | Semi-batch extraction process for hybrid nanoparticles based on solubility parameters to control particle size distribution. | Hybrid nanoparticles Supercritical CO2 Solubility parameter | SY-73 | 390 | |
Q126 | Surface modification of nanodiamonds by polyacrylic acid in supercritical carbon dioxide | Supercritical carbon dioxide Nanodiamonds Polyacrylic acid | SY-73 | 515 |
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SCEJ 55th Autumn Meeting (Sapporo, 2024)