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SCEJ 84th Annual Meeting (Tokyo, 2019)

Last modified: 2019-03-12 11:30:00

Program search result : 推算 : 11 programs

The preprints(abstracts) can be viewed by clicking the Paper IDs.
The ID/PW printed on the PROGRAM book are required.
(The ID/PW have also been sent to the Earlybird registers and invited persons by e-mail.)
The programs of HC-13, HC-17, K-1 were updated.

Title (J) field includes “推算”; 11 programs are found.
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
13:2015:20
PA116Measurement and prediction of diffusion coefficients of phenol in mixture of carbon dioxide and methanol under high pressure by Taylor dispersion method
(Chuo U.) *(Stu)Onodera N., (Reg)Sakabe J., (Reg)Funazukuri T., (Shizuoka U.) (Reg)Kong C.
mixture of CO2 and methanol
diffusion coefficient
phenol
8-b1175
Day 1
13:2015:20
PA128Measurement and prediction of adsorption and desorption behaviors of VOCs under supercritical CO2 conditions for regeneration of activated carbon
(Hiroshima U.) *(Stu·PCEF)Tsuji Hiromu, (Reg)Ushiki Ikuo, (Reg)Takishima Shigeki, (DAI-DAN) (Reg)Ito Yasuyuki, (Tohoku U.) (Reg)Sato Yoshiyuki, (Reg)Inomata Hiroshi
supercritical carbon dioxide
activated carbon
volatile organic compound
8-c945
Day 1
14:0014:20
E116Prediction Method of Efficiency for Distillation Column
(Tokyo U. Sci.) (Reg)Ohe Shuzo
efficiency
distillation column
prediction
4-c1449
Day 2
9:2011:20
PB203Materials informatics for predicting boiling/melting points in high accuracy
(Ochanomizu U.) *(Stu)Anda Yuko, (Stu)Kuroki Nahoko, (Reg)Mori Hirotoshi
Thermodynamic physical property estimation
Machine learning
Electronic structure theory
1-a1269
Day 2
9:2011:20
PB204Prediction of Diffusion Coefficient of Ethylene in Propylene Copolymers Having Different Crystallinity and Comonomer Content
(Tohoku U.) *(Stu·PCEF)Kitagishi Ayano, (Stu)Takizawa Suiri, (Reg)Sato Yoshiyuki, (Reg)Inomata Hiroshi
crystallinity
diffusion coefficient
rubbery state
1-a183
Day 2
11:0011:20
H207Development of predictive dimensionless solubility (pDS) model for solid solute-supercritical carbon dioxide systems
(Tohoku U.) *(Reg)Ota Masaki, (Stu·PCEF)Aoyama Yuki, (Reg)Sato Yoshiyuki, (Reg)Smith Richard, (Reg)Inomata Hiroshi
supercritical carbon dioxide
Critical properties
Fusion properties
8-b95
Day 2
15:4016:00
E221Comparison of cost estimation method for CO2 separation process
(Tokyo Tech) *(Reg)Kodama Satoshi, (Kyushu U.) (Reg)Hoshino Yu, (Reg)Taniguchi Ikuo
CO2 capture
membrane process
cost estimation
13-g1370
Day 3
13:4014:00
I315Correlation and Prediction of Transport Properties Using Excess Free Energy Model -Kinematic Viscosities, Thermal Conductivities-
(Nihon U.) *(Reg)Tochigi Katsumi, (Reg)Matsuda Hiroyuki, (Reg)Kurihara Kiyofumi, (Chuo U.) (Reg)Funazukuri Toshitaka, (GNA U.) Rattan V. K.
Kinematic Viscosities
Thermal Conductivities
Excess Free Energy Model
1-a217
Day 3
15:0015:20
I319Prediction Method of Vapor pressure by Boiling Point Data
(Tokyo U. Sci.) (Reg)Ohe Shuzo
vapor pressure
prediction
pure substancd
1-a1139
Day 3
15:2015:40
I320Properties Prediction for the System Composed of Non-polar Substances
(Hosei U.) (Reg)Nishiumi Hideo
prediction of properties
non-polar substances
binary interaction parameter
1-a1086
Day 3
16:2016:40
I323Measurement and prediction of solvent polarity in DBU and alcohol system activated by CO2
(Tokyo Tech) *(Reg)Shimoyama Yusuke, (Stu)Hao Yingquan
polarity
CO2-activated system
molecular information
1-e1429

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SCEJ 84th Annual Meeting (Tokyo, 2019)


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