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SCEJ 89th Annual Meeting (Sakai, 2024)

Program search result : 機械学習 : 10 programs

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Title (J) field includes “機械学習”; 10 programs are found.
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
13:2015:20
PA130Machine-learning-assisted molecular evolution for the analysis of sequence-structure-function relationships
(Tohoku U.) *(Stu)Kabai Masaki, (Reg)Ito Tomoyuki, Sugiyama Narumi, (Reg)Nakazawa Hikaru, (Tohoku U./RIKEN) (Reg)Umetsu Mitsuo
Protein
Machine learning
Molecular evolution
7-a547
Day 1
16:0016:20
F122Development of Hybrid Kinetic Model Applying Machine Learning for Liquid Phase Photocatalytic Reaction
(NIT Nagaoka) *(Reg)Atsumi Ryosuke, (Stu·PCEF)Nakano Haruka, (Stu)Iwai Makoto
Photocatalyst
Kinetics
Machine learning
5-a693
Day 2
09:2011:20
PB214Construction of machine learning models to predict the dielectric constant of epoxy resin and design of monomer structures to achieve low dielectric constant
(Meiji U.) *(Stu)Shiraki Yuya, (Sekisui Chemical) (Cor)Kawanami Yuko, (Cor)Shinmei Kenichi, (Meiji U.) (Reg)Kaneko Hiromasa
Epoxy Resin
Materials Infomatics
Dielectric Constant
6-b55
Day 2
09:2011:20
PB221Real time monitoring of polymer properties and design of polymerization process with machine learning
(Meiji U.) *(Stu)Kawagoe Rinta, (DIC) (Cor)Terauchi Kazutoshi, (Cor)Hamada Fumiya, (Cor)Yamaji Toshinori, (Meiji U.) (Reg)Kaneko Hiromasa
machine learning
polymer
Online sensing
6-d66
Day 2
10:0010:20
F204Exploring the large-area graphene CVD conditions by machine learning assisted image analysis
(Fukuoka U.) (Stu)Tahara Yuya, *(Reg)Yoshihara Naoki, (Reg)Noda Masaru
Graphene
Chemical vapor deposition
Machine learning
5-i302
Day 2
12:4513:05
A212[The SCEJ Award for Outstanding Technological Development] Development of monitoring and control technology for amino acid fermentation process using machine learning
(Ajinomoto) *(Reg)Kusunose Yasuhiro, (Cor)Terawaki Takahiro, (Cor)Kobayashi Hiroki, (Cor)Shimodaira Yoshiki, (Cor)Tokuyama Kento
The SCEJ Award for Outstanding Technological Development
0-d747
Day 2
14:2014:40
K217Coarse-Grained Force Field Parametrization for Polymers Using Machine Learning
(Toyota Motor) *(Reg)Morishita Tetsunori, (Massachusetts Inst. Tech.) Leon Pablo, Gomez-Bombarelli Rafael
Coarse-Grained Force Field
Machine Learning
6-g220
Day 2
15:0015:20
F219Polymer immobilization catalysts using machine learning methods
(Kyushu U.) *(Reg)Miura Yoshiko, Zhou Xincheng, (Reg·PCE)Matsumoto Hikaru, (Reg)Nagao Masanori
Polymer Immobilized Catalyst
Machine Learning
Pd
5-f717
Day 3
10:0010:20
I304Dispersion prediction of surface modified nanoparticles using machine learning model with various molecular descriptors
(Tokyo Tech) *(Reg)Orita Yasuhiko, (Stu)Shibata Koh, (Reg)Shimoyama Yusuke
machine learning
dispersion prediction
surface modified nanoparticles
1-b242
Day 3
14:0014:20
K316Machine-Learning-Aided Understanding of Protein Adsorption onto Zwitterionic Polymer Brushes
(Tokyo Tech) *(Reg)Okuyama Hiroto, (Reg)Sugawara Yuuki, (Reg)Yamaguchi Takeo
Zwitterionic polymer
Antifouling
Machine learning
12-a554

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SCEJ 89th Annual Meeting (Sakai, 2024)


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