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SCEJ 54th Autumn Meeting (Fukuoka, 2023)

Program search result : 活用 : 23 programs

The preprints(abstracts) are now open (Aug. 28). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants and invited persons are required.

Title (J) field includes “活用”; 23 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 0
16:0016:30
X022[Request talk] CO2 capture and utilization project at Saga city incineration plant
(Saga City) *Maeda Shuji, (Saga U.) Demura Mikihide
circular economy
waste to energy
CO2 capture and utilization
SP-11072
Day 1
9:209:40
H102Predicting Physical Properties of Structurally Unknown Polymers Using Spectroscopy Data
(Resonac) (Cor)Nagai Yuuki
Machine Learning
Predict
Descriptor
ST-21353
Day 1
10:3010:40
PB165Improvement of hyaluronic acid production by culture medium optimization using deep learning
(Kitami Inst. Tech.) *(Stu)Watanabe Kazuki, Kawai Yoshizumi, Chiou Tai-Ying, (Reg)Konishi Masaaki
Streptococcus zooepidemicus
Hyaluronic acid
Deep learning
SY-67407
Day 1
11:3011:40
PB194Production of nonnatural nitroaromatic compouds by Escherichia coli with N-oxygenase
(Kobe U.) *(Stu)Mori Ayana, (Reg)Kondo Akihiko, (Reg)Tanaka Tsutomu
Nitroaromatic compound
Metabolic Enginerring
Escherichia coli
SY-67552
Day 1
15:0015:40
J119[Invited lecture] Rapid dephosphorization of iron ores by microwave heating for the utilization of high-phosphorus iron ores
(Kyushu U.) *Ohno Ko-ichiro, Liu Jiazhan, Kon Tatsuya, (Nippon Steel) Higuchi Kenichi
microwave
dephosphorization
iron ore
SY-5736
Day 1
15:0016:20
PB165Improvement of hyaluronic acid production by culture medium optimization using deep learning
(Kitami Inst. Tech.) *(Stu)Watanabe Kazuki, Kawai Yoshizumi, Chiou Tai-Ying, (Reg)Konishi Masaaki
Streptococcus zooepidemicus
Hyaluronic acid
Deep learning
SY-67407
Day 1
15:2015:40
L120[Invited lecture] Development and application example of "rare metal solution" of poorly soluble element aqueous solution
(Mitsui Mining & Smelting) (Cor)Hara Syuhei, (Cor)Motono Ryuji, (Cor)Arakawa Daiki, *(Cor)Nikata Soichiro
rare metal
tantalum
niobium
SY-60118
Day 1
15:4016:00
H121Machine learning guided enzyme’s molecular recognition specificity conversion
(Osaka U.) *(Reg)Niide Teppei, Sugiki Sou, Mori Seiya, (Reg)Toya Yoshihiro, (Reg)Shimizu Hiroshi
enzyme design
machine learning
ST-21235
Day 1
16:2017:40
PB194Production of nonnatural nitroaromatic compouds by Escherichia coli with N-oxygenase
(Kobe U.) *(Stu)Mori Ayana, (Reg)Kondo Akihiko, (Reg)Tanaka Tsutomu
Nitroaromatic compound
Metabolic Enginerring
Escherichia coli
SY-67552
Day 2
9:009:20
Z201[Featured presentation] Design of aerogel for photo-thermal capture of CO2 from the air by simulation of temperature distribution
(Tokyo Tech) *(Stu)Kataoka Taishi, (Reg)Orita Yasuhiko, (Reg)Shimoyama Yusuke
aerogel
photo-thermal conversion
CO2 capture
SY-73133
Day 2
9:4010:00
I203Data Science-assisted Unveiling Comprehensive Descriptors for Electrocatalytic Anodic Reaction in Water Electrolysis on Multimetal Oxides
(Tokyo Tech) *(Reg)Sugawara Yuuki, Xiao Chen, Higuchi Ryusei, (Reg)Yamaguchi Takeo
alkaline water electrolysis
electrocatalyst
machine learning
ST-23565
Day 2
10:0010:40
Y204[Review lecture] Trend in Applications of Physical Property Estimation on Next Generation Process Simulators
(AVEVA Group) (Cor)Hirohama Seiya
physical property
thermodynamics
equation oriented
SY-51142
Day 2
10:4011:00
H206Design of integrated upstream and downstream monoclonal antibody production processes using surrogate models
(U. Tokyo) *(Stu)Shigeyama Akinori, (Reg)Hayashi Yusuke, (Int)Badr Sara, (Reg)Sugiyama Hirokazu
Surrogate model
Machine learning
Bayesian optimization
ST-21816
Day 2
11:0011:20
H207Utilization of Bayesian optimization in the process development of drug substance
(Astellas Pharma) *(Reg)Morishita Toshiharu, Sumii Yuta, Hanada Shogo, Shimizu Takashi
DX
Bayesian optimization
Simulation
ST-21167
Day 2
11:2012:00
C208[Review lecture] Utilization and issues of renewable energy
(Osaka U.) Shibata Masaaki
renewable energy
SY-77111
Day 2
11:2012:00
G208[Review lecture] Prospects for Agricultural Applications Using Non-Equilibrium Plasma: Improving Agricultural Productivity by Utilizing Highly Reactive Molecules
(Kyushu U.) Koga Kazunori
non-thermal plasma
plasma agriculture
ST-28507
Day 2
11:4012:00
H209Bayesian Optimization Framework for Polymer Composites Design Using High Dimensional Past Materials Data
(Resonac) *(Cor)Arai Ryosuke, (Cor)Sekiguchi Kazuhide, (Cor)Hanaoka Kyohei
Bayesian optimization
DX
Materials informatics
ST-21187
Day 2
13:0013:40
Z213[Invited lecture] The use of supercritical fluid extraction for "food": microalgae chlorella as an example
(Tohoku U.) Miyazawa Taiki
Chlorella
Functional components
Supercritical fluid extraction
SY-73965
Day 2
15:4016:00
H221Airflow Analysis of a Coating Room Using Full Cloud CAE
(Kozo Keikaku Eng.) *(Cor)Watanabe Kaoru, (Cor)Yamanaka Yuma, (Cor)Fujimura Kento, (AndanTEC) (Reg)Hamamoto Nobuo
CAE
FVM
Coating
SY-821052
Day 3
10:0010:20
Y304Analysis of dissolution mechanism using ATR-FTIR spectroscopic imaging for pharmaceutical cocrystal
(Tokyo Tech) *(Stu)Tatsumi Yuna, (Reg)Orita Yasuhiko, (Imperial Col. London) Kazarian Sergei G., (Tokyo Tech) (Reg)Shimoyama Yusuke
IR spectroscopic imaging
cocrystal
dissolution analysis
SY-51324
Day 3
14:4015:00
T318[Requested talk] Hydrophobic Tag-Assisted Liquid-Phase Peptide Synthesis
(TUAT) (Reg)Okada Yohei
hydrophobic tag
liquid phase
peptide synthesis
SY-72261
Day 3
14:4015:40
PB310[Requested talk] Synthesis of energy storage materials utilizing local resources and green processes
(Tohoku U.) (Reg)Nakayasu Yuta
Biomass
Green process
Battery
HQ-14561
Day 3
15:2015:40
S320Investigation on organic solvent extraction method of microalgae intracellular oils and fats with coarse-grained molecular dynamics
(mazda) *(Reg)Sakai Hiroyuki, Ichikawa Kazuo, Maeda Shinichiro
Microalgae
Coarse-grained molecular dynamics
ST-29375

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SCEJ 54th Autumn Meeting (Fukuoka, 2023)


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