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SCEJ 54th Autumn Meeting (Fukuoka, 2023)

Program search result : 推算 : 8 programs

The preprints(abstracts) are now open (Aug. 28). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants and invited persons are required.

Title (J) field includes “推算”; 8 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
10:4011:00
Y106[Invited lecture] A Study on Prediction for Phase Equilibria of Mixed Ionic Liquid-CO2 System Using PC-SAFT Type Equation of State
Equation of state
Ionic liquid
Carbon dioxide
ST-26478
Day 1
15:4016:00
Y121Correlation and Prediction of Excess Surface Tensions for Binary and Ternary Liquid Systems Using Activity Coefficient Equation
Surface Tension
Excess Surface Tension
Activity Coefficient Model
SY-5186
Day 1
16:2016:40
Z123Measurement, correlation and prediction of phase equilibria in CO2-ethanol-water ternary system at near room temperatures and high pressures
Equation of State
Extraction and Separation
Thermodynamics
SY-73183
Day 2
10:0010:40
Y204[Review lecture] Trend in Applications of Physical Property Estimation on Next Generation Process Simulators
physical property
thermodynamics
equation oriented
SY-51142
Day 2
11:2011:40
R208Estimation of diffusion coefficients of sodium chloride in granular-shaped food
diffusion coefficient
sodium chloride
defatted soybeans
SY-6827
Day 2
13:0013:40
Y213[Review lecture] Proposal of Molecular Representation and Inference Methods for Biodegradability Prediction QSAR System
Decision support system
biodegradation
chemical descriptors
SY-51182
Day 3
15:2015:40
Y320Prediction of Vapor Pressure and Enthalpy of Vaporization with Extended Corresponding States Principle
Prediction
Lydersen method
Vapor pressure
SY-51328
Day 3
15:4016:00
Y321Prediction of Physical Properties by Deep Learning
(TUS) (Reg)Ohe Shuzo
Physical properties
Prediction
Deep learning
SY-51687
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SCEJ 54th Autumn Meeting (Fukuoka, 2023)


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