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SCEJ 89th Annual Meeting (Sakai, 2024)

Program search result : Kodama Daisuke : 2 programs

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Authors field exact matches “Kodama Daisuke”; 2 programs are found.
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TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Day 2
13:00– 13:40		   Chair: Kodama Daisuke
D213[Invited lecture] Physical property prediction from small dataset using transfer learning
(AIST) (Reg)Furuya T.
phase equilibria
physical properties
chemical engineering
X-53207
D214[Invited lecture] What are the companies looking for in terms of physical properties?
physical property
X-53318
Day 3
10:00– 11:00		   Chair: Kodama Daisuke, Hiejima Yusuke
I304Dispersion prediction of surface modified nanoparticles using machine learning model with various molecular descriptors
machine learning
dispersion prediction
surface modified nanoparticles
1-b242
I305Prediction of Solubilities for Drugs in Aqueous Cyclodextrins Solutions Using ASOG Group Contribution Method
Cyclodextrins
Solubilities
ASOG group contribution model
1-a163
I306Prediction of Phase Equilibria for Systems Containing Ester Lactate Using ASOG Group Contribution Method
Ester Lactate
Phase Equilibria
ASOG Group Contribution Method
1-a251
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SCEJ 89th Annual Meeting (Sakai, 2024)

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