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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Program search result : 溶解度 : 10 programs

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Title (J) field includes “溶解度”; 10 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
9:4010:00
CA103Examination of the dependence of CO2 solubility on temperature, pressure, and pH by the ion dissociation reaction of CO2 in an aqueous electrolyte solution
Aqueous electrolyte solution
Equation of state
SY-51830
Day 1
13:4014:00
DG115A new correlation between permittivity at the periphery of nanoparticles and Hansen Solubility Parameter
nanoparticle
permittivity
Hansen Solubility Paramter
SY-77240
Day 1
15:4016:00
CA121Application to predict the extraction amount of naturally derived components using Hansen solubility parameter
(Kansai U.) *(Stu·PCEF)Hiraoka Koki, (Reg·PCE)Yamamoto Hideki
Cohesive energy density
Solid liquid extraction
Vanillin
SY-51403
Day 1
16:0016:20
CB122Estimation of temperature dependence of organic compounds solubility in water by machine learning
solubility
machine learning
phase equilibrium
SY-73709
Day 1
16:2016:40
CA123Study on calculation of Hansen solubility parameters for solid surfaces
Surface free energy
Cohesive energy density
Wettability
SY-51303
Day 1
17:4018:00
CA127Density, viscosity and solubility of supercritical carbon dioxide + N-methyl-2-pyrrolidone system
CO2 solubility
NMP
Carbon dioxide
SY-51227
Day 2
10:0010:20
DA204Characterization of Hansen Solubility Parameters of human keratin plugs and Application to cosmetics
Hansen Solubility Parameter
Keratin plug
Computational science
SY-70443
Day 2
10:4011:00
CB206Investigation of solubility and diffusivity of Cu(tmhd)2 in scCO2 to design optimal Cu-SCFD process for high aspect ratio structure
supercritical fluid deposition
solubility
diffusivity
SY-73399
Day 2
13:4014:00
BB215Selective recovery of metals and production of high-performance adsorbents from waste metal solution
waste iron recycling
adsorbent
trump element
SY-82818
Day 3
9:009:20
CB301Development of a Model for Predicting the Solubility of Organic Compounds in Supercritical CO2 Using Machine Learning Based on QSPR
Machine learning
Molecular descriptors
Solubility
SY-73754

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SCEJ 53rd Autumn Meeting (Nagano, 2022)


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