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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Last modified: 2022-12-14 13:12:56

Hall and day program : Hall CA, Day 2 : CA218

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Hall CA(W1 1F 115), Day 2(Sep. 15)

SY-51

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
SY-51 [Symposium of Division of Physical Properties]
(9:00–10:00) (Chair: Hiraga Yuya, Kuroki Nahoko)
9:009:20CA201Measurement and correlation of solid-liquid equilibria for ethanol + water + antipyrine, and ethanol + water + 4-aminoantipyrine system
(Nihon U.) *(Stu)Saito Aya, Shimoyama Yuya, (Reg)Hoshina Taka-aki, (MJIIT-UTM) (Reg)Tsuji Tomoya
solid-liquid equilibrium
ethanol
antipyrine
SY-51625
9:209:40CA202Correlation of Vapor-Liquid Equilibria Using Model with Volume-Dependent Excess Gibbs Free Energy Added to Cubic Equation of State
(Kyushu U.) *(Stu)Yoneshige Yuki, (Reg)Iwai Yoshio
Equation of state
activity coefficient model
vapor-liquid equilibrium
SY-51352
9:4010:00CA203[Featured presentation] Material design on CO2 capture system by application of machine learning using molecular descriptor combined with diffusion model
(Tokyo Tech) *(Stu)Kaneko Hiroshi, (Stu)Kataoka Taishi, (Stu)Hao Yingquan, (Reg)Orita Yasuhiko, (Reg)Shimoyama Yusuke
molecular descriptor
CO2 capture
machine learning
SY-51636
(10:00–11:00) (Chair: Aida Taku, Hiejima Yusuke)
10:0010:20CA204Prediction of thermal conductivity for polymer-based composite materials using machine learning
(Kanazawa U.) *(Stu)Tsukamura Keita, (Reg)Haruki Masashi
Thermal conductivity
Machine learning
Polymer-based composite material
SY-5191
10:2010:40CA205Ab initio statistical thermodynamic consideration on gas separability of hydrogen-bonding organic solvent mixtures
(Chuo U.) *(Stu)Watabe S., (Chuo U./JST ACT-X) (Reg)Kuroki N., (Chuo U./NEDO) (Reg)Mori H.
gas separation
ab initio statistical thermodynamics calculation
hydrogen-bonding organic solvent mixtures
SY-51700
10:4011:00CA206[Invited lecture] Estimation of physical properties from molecular structures using convolutional graph neural network
(Tokyo U. Sci.) (Reg)Murakami Yuya
physical property estimation
graph neural network
group contribution method
SY-51325
(11:00–11:20) (Chair: Ushiki Ikuo, Shimoyama Yusuke)
CA207(withdrawn)

100582
11:0011:20CA208Prediction of physical property by deep learning
(Tokyo U. Sci.) (Reg)Ohe Shuzo
physical property
deep learning
prediction
SY-51515
CA209(withdrawn)

100576
(13:00–13:40) (Chair: Kodama Daisuke)
13:0013:40CA213[Review lecture] 100 years of history and future development of active coefficient equations and equations of state
(Kyushu U.) (Reg)Iwai Yoshio
phase equilibrium
active coefficient
equation of state
SY-51329
(13:40–14:40) (Chair: Sato Yoshiyuki, Oba Shigeo)
13:4014:00CA215Viscosity Analysis of Polypropylene and Polypropylene/Filler Composites Using Free Volume Theory
(Tohoku U.) Shibuya Riku, *(Reg)Hiraga Yuya, (Reg)Watanabe Masaru
viscosity
polymer
nano particle
SY-51469
14:0014:20CA216Case study of correlation for liquid density and phase equilibrium properties using the normal boiling point
(NIT Ube) *(Reg)Fukuchi Kenji, (Yamaguchi U.) (Reg)Kobuchi Shigetoshi
Case study of correlation
Liquid density
Phase equilibrium properties
SY-51505
14:2014:40CA217Determination of liquid-liquid equilibria of ternary mixtures for the development of biobutanol purification process
(Nihon U.) *(Reg)Matsuda Hiroyuki, Okada Chinami, Vu Thi Minh, Sugimoto Rihona, (Reg)Kurihara Kiyofumi, (Reg)Tochigi Katsumi
Liquid-liquid equilibria
Biobutanol
Biomass-based solvent
SY-51465
(14:40–15:40) (Chair: Hosina Takaaki, Ono Takumi)
14:4015:00CA218Prediction of Phase Equilibria for Carbonate Ester Containing Multicomponent Systems Using ASOG
(Nihon U.) *(Reg)Tochigi Katsumi, (Reg)Matsuda Hiroyuki, (Reg)Kurihara Kiyofumi
carbonate ester
phase equilibria
ASOG
SY-512
15:0015:20CA219Encapsulation of Insect Growth Regulator Pyriproxyfen in Poly-(e-caprolactones) using green technology
(Fukuoka U.) *(Reg)Sharmin Tanjina, Ono Kento, (Reg)Aida Taku, (Reg)Mishima Kenji
pyriproxyfen
supercritical carbon dioxide
microencapsulation
SY-5115
15:2015:40CA220A simplified approach for estimating water contact angles by using molecular dynamics simulations
(NITech) *(Reg)Nagumo R., Sawai R., Saito T., Kuroda K., (Reg)Iwata S.
molecular dynamics
poly(2-methoxyethyl acrylate)
water contact angle
SY-51796
15:4016:00Awards ceremony

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SCEJ 53rd Autumn Meeting (Nagano, 2022)


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