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List of received applications (By symposium/topics code)

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ST) SCEJ Trans-Division Symposium

ST-21. [Trans-Division Symposium] Frontiers of Data-driven Research and Development

Organizer(s): Shimada Iori (Shinshu Univ.), Toya Yoshihiro (Univ. of Osaka), Yoshida Hideaki (Sumitomo Chemical), Sugisawa Hiroki (Mitsubishi Chemical), Muroga Shun (AIST), Sugawara Yuuki (Yokohama Nat. Univ.), Xia Junqing (Fukuoka Univ.), Mukaida Shiho (MISTEM/Shinshu Univ./Tohoku Univ./Osaka Univ.)

Data science has been rapidly developing in recent years as the fourth science following experimental science, theoretical science, and computational science. In the field of chemical engineering, data-driven science, which derives superior materials and processes by making full use of a large amount of accumulated data and information, is becoming increasingly important, and many efforts are being made. This symposium will have speakers who are making pioneering efforts toward a data-driven society from various viewpoints and discuss future research and development.

Most recent update: 2026-06-07 07:33:01

The keywords that frequently used
in this topics code.
KeywordsNumber
artificial bone1
in vivo1
in vitro1
Chemoinformatics1
Solubility prediction1
Machine learning1

ACKN
No.
Title/Author(s)KeywordsStyle
104Development of a Machine Learning Model for Predicting Solubility in Binary Solvent Systems at Arbitrary Temperatures
(Meiji U.) *(Stu)Watanabe Hibiki, (Reg)Kaneko Hiromasa
Chemoinformatics
Solubility prediction
Machine learning
O
112Construction of machine learning models for predicting in vivo responses of artificial bone materials using in vitro indicators
(Meiji U.) *(Stu)Masuyama Naoki, Iwama Shoki, Aizawa Mamoru, (Reg)Kaneko Hiromasa
artificial bone
in vivo
in vitro
O

List of received applications (By topics code)

List of received applications
SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)

Organizing Committee of SCEJ 57th Annual Meeting (2026)
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