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SCEJ 88th Annual Meeting (Tokyo, 2023)

Program search result : メカニズム : 9 programs

The preprints(abstracts) are now open (Mar. 1st). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants in Period I/II and invited persons are required.

Title (J) field includes “メカニズム”; 9 programs are found.
The search results are sorted by the start time.

TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Day 1
13:20– 14:20		PA163Elucidation of the enhancement mechanism of particle sedimentation in water by using DC electric field
(Hosei U.) *(Stu)Koike F., Tanaka O., (Reg·PCEF)Kitamura K., (Reg)Mori T.
Solid-liquid separation
DC electric field
Electrophoresis
13-b360
Day 1
14:20– 15:20		PA118Elucidation of drug-loading mechanism of UiO-66 series
(Osaka Metro. U.) *(Stu·PCEF)Ohshima Kazuki, (Reg)Ohsaki Shuji, (Reg)Nakamura Hideya, (Reg)Watano Satoru
Metal-organic frameworks
Dipole moment
Drug encapsulation
12-c578
Day 1
14:20– 15:20		PA124Formation Mechanism of Thermogelling PNIPAM Copolymers Prepare by Dispersion Polymerization.
(Saga U.) *(Stu)Shintani K., Shoyama K., (Reg)Kawakita H., (Reg)Ohto K., (Reg)Morisada S.
dispersion polymerization
thermogelling
block copolymer
12-e505
Day 2
10:40– 11:00		F206Elucidation of novel protection mechanism for lipid oxidation using insoluble antioxidant material
(Tohoku U.) *(Reg)Takahashi Atsushi, (Stu·PCEF)Katori Suguru, (Reg·PCEF)Hiromori Kousuke, (Reg)Shibasaki-Kitakawa Naomi
insoluble antioxidant
oxidation protection
lipid oxidation
5-i424
Day 3
13:40– 14:20		B315[Requested talk] In Oil and Chemical industries, the damage mechanisms prediction of facilities from the chemical environments by user development of AI machine learning
(Facility Eng. Laboratory) (Reg)Matsuda Hiroyasu
AI
Decision Tree
Damage Mechanism Prediction
SS-5333
Day 3
14:20– 14:40		H317Improved melt-mixing in single-screw extrusion by geometry modification based on mixing mechanism
(Kyushu U.) *(Reg)Nakayama Yasuya, Fujihara Taishi, (Japan Steel Works) Kimura Koichi, (Kyushu U.) (Reg)Kajiwara Toshihisa
extrusion
melt-mixing
2-a399
Day 3
14:20– 15:20		PE336Investigation of Ammonia Adsorption/Desorption Mechanism over Phosphoric Acid-Modified Activated Carbon for Leaked Ammonia Recovery
(NIT Tokyo) *(Stu)Iwasaki Tamon, (Tokyo Denki U.) (Stu)Toyoshima Shoko, (AIST) (Reg)Kojima Hirokazu, (Reg)Kobayashi Yasukazu, (Reg)Namba Tetsuya, (NIT Tokyo) (Reg)Shoji Ryo
Phosphoric Acid - Modified Activated Carbon
Leaked Ammonia
Adsorption/Desorption
4-e159
Day 3
16:00– 16:20		H322Investigation of mechanisms of superspreading wetting of ink-jetted nanofluid droplets
(Tohoku U.) *(Reg)Shoji Eita, Hoshino Akira, Saito Taiga, Biwa Tetsushi, (Reg)Kubo Masaki, (Reg)Tsukada Takao, (Reg)Tomai Takaaki, (Reg)Adschiri Tadafumi
nanofluid
superspreading
ellipsometry
2-a128
Day 3
16:00– 17:30		Q304[Requested talk] In Oil and Chemical industries, the damage mechanisms prediction of facilities from the chemical environments by user development of AI machine learning
(Facility Eng. Laboratory) (Reg)Matsuda Hiroyasu
AI
Decision Tree
Damage Mechanism Prediction
SS-7338

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SCEJ 88th Annual Meeting (Tokyo, 2023)

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