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SCEJ 87th Annual Meeting (Kobe, 2022)

Last modified: 2022-03-04 12:00:00

Hall and day program : Hall I, Day 3

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.)
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Hall I(online), Day 3(Mar. 18)

1

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
1. Fundamental properties
(9:00–10:20) (Chair: Kojima Hidekazu, Furuya Takeshi)
9:009:20I301Vapor pressure prediction with Joback method
vapor pressure
prediction
Joback method
1-a24
9:209:40I302A Note on Selectivity of Co-solvent for Drug Production Process -Etodolac + Water + Co-solvent System-
etodolac
selectivity
activity coefficient model
1-a27
9:4010:00I303Estimation of High-Pressure Mutual Diffusion Coefficients for Binary Liquid Systems Using Local Composition Model
high-pressure
mutual diffusion coefficient
local composition model
1-a28
10:0010:20I304[Featured presentation] Measurement and modeling of CO2 solubility and diffusivity for polycaprolactone using PC-SAFT and free volume theory
Polycaprolactone
Solubility
Diffusivity
1-a434
(10:40–12:00) (Chair: Ushiki Ikuo, Hiraga Yuya)
10:4011:00I306Predictive correlation of diffusion coefficients for organometallic compounds in supercritical carbon dioxide
diffusion coefficient
organometallic complex
supercritical
1-a582
11:0011:20I307Analysis of Copolymer Structure Dependency on Water Permeability of Its Membranes by Molecular Simulation
membrane permeation
copolymer membrane
molecular simulation
1-a522
11:2011:40I308Determination of solid-liquid equilibria for ternary system ethanol + diethyl carbonate + diphenyl carbonate by synthetic method
Solid-liquid equilibria
Diphenyl carbonate
Measurement
1-a569
11:4012:00I309Determination of fish-shaped diagram for the systems water + n-alkane + non-ionic surfactant: Comparison with the tie-line and tie-triangle data
Fish-shaped diagram
Liquid-liquid equilibria
Measurement
1-a610
(13:00–14:00) (Chair: Matsuda Hiroyuki, Ono Takumi)
13:0013:20I313Prediction of physical propertie by deep learning
(TUS) (Reg)Ohe Shuzo
Artificial Intelligence
Prediction
Physical properties
1-a504
13:2013:40I314Antiviral Catechin cocrystallization prediction by machine learning
cocrystallization
machine learning
catechin
1-b442
13:4014:00I315Particle size dependence of viscous behavior of high concentration non-aggregate nanoparticle dispersion
nanoparticle
viscosity
1-e570

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SCEJ 87th Annual Meeting (Kobe, 2022)


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