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SCEJ 87th Annual Meeting (Kobe, 2022)

Last modified: 2022-03-04 12:00:00

Program search result : Numerical Simulation : 8 programs

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Keywords field exact matches “Numerical Simulation”; 8 programs are found.
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
14:2015:20
PA108An investigation of diffusion and adsorption behavior in protein A media
(Kobe U.) Hayashi Kohei, *(Reg)Katsuda Tomohisa, (Reg)Yamaji Hideki
protein A media
confocal laser scanning microscopy
numerical simulation
7-a453
Day 2
15:2015:40
B220Inverse estimation of physical properties using physics informed neural networks in TSSG method for SiC crystal growth
(Osaka U.) *(Stu)Takehara Yuto, (Reg)Okano Yasunori
Numerical simulation
Top-Seeded Solution Growth
Physics Informed Neural Networks
CS-1312
Day 2
15:2015:40
O220Numerical Simulations of Curtain Coating for Adhesive
(Saitama U.) *(Reg)Homma Shunji, (Stu)Chiba Kotaro, (Stu)Togashi Kota
Curtain Coating
Adhesive
Numerical Simulation
12-h323
Day 2
16:2016:40
O223Mechanism of the viscoelastic behavior of slurry
(UTokyo) *(Reg)Tatsumi R., (PIA) (Reg)Koike O., (Reg)Yamaguchi Y., (UTokyo) (Reg)Tsuji Y.
rheology
colloidal suspensions
numerical simulation
12-l660
Day 2
16:4017:00
J224Improvement of advection diffusion simulation model on laminar flow
(Murozono Kaken) (Reg)Murozono Koji
laminar flow
particle method
numerical simulation
2-b495
Day 2
17:0017:20
J225Numerical simulation of motions of free-interface and particle in solid/gas/liquid/liquid flow
(Hiroshima U.) *(Reg)Ishigami Toru, (PCEF)Hagiwara Ryo, Shirzadi Mohammadreza, (Reg)Fukasawa Tomonori, (Reg)Fukui Kunihiro
Numerical simulation
Four-phase flow
Phase-field model
2-e318
Day 3
10:2011:20
PD318A deep-learning reduced order modeling framework for a large-scale fluidized bed simulation
(U. Tokyo) *(Stu)Li Shuo, Duan Guangtao, (Reg)Sakai Mikio
Numerical simulation
Reduced order model
Deep learning
2-f36
Day 3
10:2011:20
PD330[Featured presentation] DEM study on Powder Flowability in a Stirred System
(U. Tokyo) *(Stu)Nagino Makoto, (Stu)Mori Yuki, (Reg)Sakai Mikio
Numerical simulation
Granular flow
Discrete Element Method
2-f212

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SCEJ 87th Annual Meeting (Kobe, 2022)


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