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SCEJ 87th Annual Meeting (Kobe, 2022)

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

Program search result : Matsuda Hiroyuki : 5 programs

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Authors field exact matches “Matsuda Hiroyuki”; 5 programs are found.
The search results are sorted by the start time.

TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Day 3
9:20– 9:40		I302A Note on Selectivity of Co-solvent for Drug Production Process -Etodolac + Water + Co-solvent System-
(Nihon U.) *(Reg)Tochigi Katsumi, (Reg)Matsuda Hiroyuki, (Reg)Kurihara Kiyofumi
etodolac
selectivity
activity coefficient model
1-a27
Day 3
9:40– 10:00		I303Estimation of High-Pressure Mutual Diffusion Coefficients for Binary Liquid Systems Using Local Composition Model
(Nihon U.) *(Reg)Tochigi Katsumi, (Reg)Matsuda Hiroyuki, (Reg)Kurihara Kiyofumi, (Universiti Teknologi Malaysia) (Reg)Tsuji Tomoya, (Chuo U.) (Reg)Funazukuri Toshitaka
high-pressure
mutual diffusion coefficient
local composition model
1-a28
Day 3
11:20– 11:40		I308Determination of solid-liquid equilibria for ternary system ethanol + diethyl carbonate + diphenyl carbonate by synthetic method
(Nihon U.) *(Reg)Matsuda Hiroyuki, (Stu)Takamatsuya Shoki, (Stu)Kawai Keiji, (Reg)Kurihara Kiyofumi, (Reg)Tochigi Katsumi
Solid-liquid equilibria
Diphenyl carbonate
Measurement
1-a569
Day 3
11:40– 12:00		I309Determination of fish-shaped diagram for the systems water + n-alkane + non-ionic surfactant: Comparison with the tie-line and tie-triangle data
(Nihon U.) *(Reg)Matsuda Hiroyuki, (Stu)Tominaga Yuki, (Stu)Honda Yuri, (Stu)Asao Ayame, (Stu)Sugiyama Yukiko, (Stu)Nakakohara Aya, (Reg)Kurihara Kiyofumi, (Reg)Tochigi Katsumi
Fish-shaped diagram
Liquid-liquid equilibria
Measurement
1-a610
Day 3
13:00– 14:00		   Chair: Matsuda Hiroyuki, Ono Takumi
I313Prediction of physical propertie by deep learning
(TUS) (Reg)Ohe Shuzo
Artificial Intelligence
Prediction
Physical properties
1-a504
I314Antiviral Catechin cocrystallization prediction by machine learning
(Tokyo Tech) *(Reg)Kusuki Yuichiro, (Reg)Orita Yasuhiko, (Reg)Shimoyama Yusuke
cocrystallization
machine learning
catechin
1-b442
I315Particle size dependence of viscous behavior of high concentration non-aggregate nanoparticle dispersion
(Tohoku U.) *(Stu)Arai Yuko, (Tohoku U. AIMR) (Reg)Tomai Takaaki, (Tohoku U. WPI) (Reg)Yoko Akira, (Tohoku U. NICHe) (Reg)Seong Gimyeong, (Tohoku U. WPI) (Reg)Adschiri Tadafumi
nanoparticle
viscosity
1-e570

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SCEJ 87th Annual Meeting (Kobe, 2022)

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