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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Program search result : 比江嶋 祐介 : 1 program

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Authors and Chairs (J) field exact matches “比江嶋 祐介”; 1 program is found.
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TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Day 2
10:00– 11:00		   Chair: Aida Taku, Hiejima Yusuke
CA204Prediction 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
CA205Ab 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
CA206[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

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SCEJ 53rd Autumn Meeting (Nagano, 2022)

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