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SCEJ 87th Annual Meeting (Kobe, 2022)

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

Program search result : 嶋田 五百里 : 7 programs

Program of CS-2 is updated.
The preprints are now open (Mar. 2nd). 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. (The participants registered in Period III will get the ID/PW on Mar. 15th.)
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Authors and Chairs (J) field exact matches “嶋田 五百里”; 7 programs are found.
The search results are sorted by the start time.

TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Day 2
13:20– 14:20		PC267Elucidation of characteristics and mechanism of hydrogen sulfide adsorption on biomass materials carbonized with bentonite
(Shinshu U.) *(Stu)Uchida Yo, (Reg)Shimada Iori, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Reg)Takahashi Nobuhide
bentonite
coffee ground
hydrogen sulfide
13-i711
Day 2
13:20– 14:20		PC279Effects of Absorbent Properties in CO2 Vacuum Flash Desorption from Amine-Based Absorbents Using Porous Hollow Fiber Membranes
(Shinshu U.) *(Stu)Nakamura Junya, (Reg)Shimada Iori, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Reg)Takahashi Nobuhide
hollow fiber membrane
CO2 stripping
membrane flash process
13-g708
Day 2
14:40– 15:00		B218Use of machine learning and feature engineering for product composition prediction in heavy oil catalytic cracking reactions
(Shinshu U.) *(Reg)Shimada Iori, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Reg)Koyama Michihisa
machine learning
feature engineering
catalytic cracking
CS-1484
Day 2
15:00– 15:20		B219Prediction of organic compound solubility for subcritical water by machine learning
(Shinshu U.) *(Reg)Osada Mitsumasa, Minesugi Yuuka, (Stu)Tamura Kotaro, (Reg)Shimada Iori
machine learning
subcritical water
solubility
CS-1577
Day 2
15:20– 16:00		   Chair: Shimada Iori
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
B221Computer Automated Material Design by Universal Neural Network Potential
(Shinshu U.) *(Reg)Valadez Huerta Gerardo, Tamura Ayako, Nanba Yusuke, Hisama Kaoru, (Reg)Koyama Michihisa
Universal Neural Network Potential
Computational Material Design
Automation
CS-1640
Day 3
9:20– 10:20		PD341Synergy effect in deoxygenation during co-processing of guaiacol and triglyceride in catalytic cracking
(Shinshu U.) *(Stu)Tanaka Yoko, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Reg)Takahashi Nobuhide, (Reg)Shimada Iori
catalytic cracking
triglyceride
bio-oil model compound
5-a226
Day 3
9:20– 10:20		PD367Construction of product yield prediction model using machine learning in co-processing of bio-oil and heavy oil in fluid catalytic cracking
(Shinshu U.) *(Stu)Yasuike Shun, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Reg)Takahashi Nobuhide, (Reg)Shimada Iori
bio-oil
co-processing
machine learning
5-a561

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SCEJ 87th Annual Meeting (Kobe, 2022)

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