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SCEJ 54th Autumn Meeting (Fukuoka, 2023)

Program search result : モデル : 44 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 “モデル”; 44 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 1
8:409:00
A100Development of an estimation model for condensate water composition in EGR of internal combustion engines
(Tokyo Tech) *(Reg)Kodama S., (Reg)Mori S., (AIST) Abe Y., Takeda Y., Oguma M., Kinoshita K., (Ibaraki U.) Ohmori Y., Sakaida S., Konno M., Tanaka K.
EGR
condensate water
pH
ST-22441
Day 1
9:009:20
B101Hyper Elasticity Simulation and Expansion to Crack Growth under Biaxial Elongation by TL-SPH Method
(Kyoto U.) *(Stu·PCEF)Enomoto Ryota, Miyamoto Souta, Urayama Kenji, Mai Thanh-Tam, (Reg)Taniguchi Takashi
Total Lagrangian SPH
Hyper Elasticity
Biaxial Elongation
SY-52408
Day 1
9:009:20
H101Development of machine learning model for CO2 absorption performance of blended amine solutions
(AIST) *(Reg)Fujii Tatsuya, (Reg)Kohno Yuki, (Reg)Makino Takashi, (Tokyo Tech) Sako Masami, Ishihama Keisuke, Yasuo Nobuaki, Kawauchi Susumu
CO2 absorption
machine learning
amine
ST-21445
Day 1
9:0010:40
PA117Machine learning model for predicting jet fuel fraction yield in catalytic cracking of vegetable oils
(Shinshu U.) *(Stu)Katayama Yuzuki, (Reg)Shimada Iori
catalytic cracking
sustainable aviation fuel
machine learning
SY-62563
Day 1
9:0010:40
PA118Kinetic Models of Water Sorption and Hydrolysis Reaction of a Marine Degradable Biopolymer
(Kyoto U.) *(Stu)Koike Takanari, (Reg)Hikima Yuta, (Reg)Muranaka Yosuke, (Reg)Maki Taisuke, (Reg)Ohshima Masahiro
biopolymer
degradation
kinetic model
SY-6218
Day 1
9:0010:40
PA120Construction of yield prediction model in catalytic cracking of vegetable oils using transfer learning between different catalysts
(Shinshu U.) *(Stu)Sekikawa Nozomi, (Reg)Shimada Iori
catalytic cracking
transfer learning
vegetable oil
SY-62647
Day 1
9:0010:40
PA123Construction of the prediction model for graphene domain size synthesized by chemical vapor deposition
(Fukuoka U.) *(Stu)Tahara Yuya, (Reg)Yoshihara Naoki, (Reg)Noda Masaru
Machine Learning
chemical vapor deposition
graphene
SY-62527
Day 1
10:2010:30
PB163Construction of a machine-learning model to predict optimal mevalonate pathway gene expression levels for efficient production of carotenoids in yeast
(Osaka Metro. U.) *(Stu)Shimazaki Shun, (Reg)Yamada Ryosuke, Yamamoto Yoshiki, (Reg)Matsumoto Takuya, (Reg)Ogino Hiroyasu
Carotenoid
Machine-learning
Metabolic engineering
SY-67143
Day 1
10:4010:50
PB124Fabrication of photo-crosslinkable gelatin-based 3D skin models with controlled internal micropores
(Chiba U.) *(Stu)Nonogaki Rina, Utoh Rie, Hori Aruto, (Stu)Shimoda Yuri, (Reg)Yamada Masumi
GelMA
Vascular network
Skin model
SY-67461
Day 1
11:2011:40
D108Investigating applicable range of coarse-grained DEM methods
(Osaka Metro. U.) *(Stu·PCEF)Yokokawa Shota, (Reg)Nakamura Hideya, (Stu)Kishida Naoki, (Reg)Ohsaki Shuji, (Reg)Watano Satoru
Discrete element method
Coarse-grained DEM
Granular shear flow
SY-54500
Day 1
11:4012:00
B109Effect of rheological properties on representative velocity scale of Rayleigh-Bénard convection in Carreau model fluid systems
(Osaka Metro. U.) *(Reg)Masuda Hayato, (Reg)Iyota Hiroyuki, (Tokushima U.) (Reg)Ohta Mitsuhiro
Rayleigh-Benard convection
Carreau model fluid
Velocity scale
SY-52477
Day 1
12:4013:40
PA117Machine learning model for predicting jet fuel fraction yield in catalytic cracking of vegetable oils
(Shinshu U.) *(Stu)Katayama Yuzuki, (Reg)Shimada Iori
catalytic cracking
sustainable aviation fuel
machine learning
SY-62563
Day 1
12:4013:40
PA123Construction of the prediction model for graphene domain size synthesized by chemical vapor deposition
(Fukuoka U.) *(Stu)Tahara Yuya, (Reg)Yoshihara Naoki, (Reg)Noda Masaru
Machine Learning
chemical vapor deposition
graphene
SY-62527
Day 1
13:2013:40
A114Variation of molecular weight distribution of Nafion membrane with chemical degradation and model simulation
(Kyoto U.) *(Reg)Nakagawa Hiroyuki, Nakajima Naoki, Taichi Touma
Nafion
chemical degradation
molecular weight distribution
ST-22397
Day 1
13:4014:00
A115Study on synthesis of highly efficient CO2 multi-stage separation process using physical and statistical models
(Yamagata U.) *(Stu·PCEF)Fujii Yota, (Nagoya U.) (Reg)Matsuda Keigo
CO2
simulation
separation
ST-22247
Day 1
13:4014:40
PA118Kinetic Models of Water Sorption and Hydrolysis Reaction of a Marine Degradable Biopolymer
(Kyoto U.) *(Stu)Koike Takanari, (Reg)Hikima Yuta, (Reg)Muranaka Yosuke, (Reg)Maki Taisuke, (Reg)Ohshima Masahiro
biopolymer
degradation
kinetic model
SY-6218
Day 1
13:4014:40
PA120Construction of yield prediction model in catalytic cracking of vegetable oils using transfer learning between different catalysts
(Shinshu U.) *(Stu)Sekikawa Nozomi, (Reg)Shimada Iori
catalytic cracking
transfer learning
vegetable oil
SY-62647
Day 1
14:2014:40
H117Deep learning model for predicting all protein-protein interactions from sequence data
(Kyutech) *(Reg)Kurata Hiroyuki, Tsukiyama Sho
Cross attention
deep learning
prediction
ST-2133
Day 1
15:0015:20
B119Numerical modeling of solid-gas-liquid-liquid four-phase flow and its experimental validation
(Hiroshima U.) *(Reg)Ishigami Toru, Nishii Ayumu, Shirzadi Mohammadreza, (Reg)Fukasawa Tomonori, (Reg)Fukui Kunihiro
Four-phase flow
Contact angle
Validation
SY-52202
Day 1
15:0015:20
H119Development of mechanistic cell cultivation models in monoclonal antibody production using data-driven insights
(UTokyo) *(Stu)Okamura K., (Int)Badr S., (Stu)Ichida Y., (Reg·SPCE)Yamada A., (Reg)Sugiyama H.
Biopharmaceuticals
Lactate consumption
Glutamine
ST-21728
Day 1
15:0016:20
PB163Construction of a machine-learning model to predict optimal mevalonate pathway gene expression levels for efficient production of carotenoids in yeast
(Osaka Metro. U.) *(Stu)Shimazaki Shun, (Reg)Yamada Ryosuke, Yamamoto Yoshiki, (Reg)Matsumoto Takuya, (Reg)Ogino Hiroyasu
Carotenoid
Machine-learning
Metabolic engineering
SY-67143
Day 1
15:2015:40
H120Development of microbial production process by model based metabolic design and directed evolution
(Osaka U.) *(Reg)Shimizu Hiroshi, (Reg)Toya Yoshihiro, (RIKEN) Furusawa Chikara, Shibai Atsushi, (AIST) Horinouchi Takaaki, (Chuo U.) Suzuki Hiroaki, (Osaka U.) Tokuyama Kento, (Reg)Niide Teppei
Model based metabolic pathway design
Directed evolution
Metabolic engineering
ST-21225
Day 1
15:4016:00
K121Modeling of Pd-coated V membranes for hydrogen separation
(Tokyo U. Sci.) *(Stu)Niho Takaharu, (Taiyo Koko) Yoshinaga Hideo, (Tokyo U. Sci.) (Reg)Murakami Yuya, (Reg)Matsukawa Hiroaki, (Reg)Otake Katsuto, (Reg)Shono Atsushi
Hydrogen
Permeation
Composite membrane
SY-61906
Day 1
16:2017:40
PB124Fabrication of photo-crosslinkable gelatin-based 3D skin models with controlled internal micropores
(Chiba U.) *(Stu)Nonogaki Rina, Utoh Rie, Hori Aruto, (Stu)Shimoda Yuri, (Reg)Yamada Masumi
GelMA
Vascular network
Skin model
SY-67461
Day 1
16:4017:00
H124Applicational study of symbolic regression to exploring new materials and constructing kinetics models
(Waseda U.) *(Stu)Isoda T., Takahashi S., (WISE/Mitsubishi Chemical Group) Nakano M., (WISE) Nakajima Y., (Waseda U./WISE) Seino J.
Machine learning
Materials Informatics
Reaction Kinetics
ST-21948
Day 1
17:0017:20
F125Thermodynamic model description of three-state phase equilibrium in cylindrical nanopores and its verification by molecular dynamics
(Nagoya U.) *(Reg)Kanda H., Hiramatsu T., (Reg)Wahyudiono, (Reg)Goto Motonobu
Mesopore
Thermodynamics
Phase diagram
SY-78648
Day 2
8:409:00
Y200Development of solubility correlation model for organic-inorganic hybrid nanoparticles based on solubility parameter
(Tohoku U.) *(Stu·PCEF)Takamura Yukina, (Reg)Ota Masaki, (Reg)Watanabe Masaru, (Reg)Inomata Hiroshi, (Reg)Tomai Takaaki
Nanoparticle
Solubility parameter
Thermodynamics
SY-51366
Day 2
9:009:20
J201Optimization of operating conditions using a crystallizer model with local temperature control
(TUAT) *(Stu)Iizuka Saki, (Reg·APCE)Kim Sanghong, (Stu)Ishikawa Kano
Crystallization
Process synthesis
Distributed parameter system
SY-65149
Day 2
9:3011:00
PA249Prediction Model for Polymorphs of Coated Glycine in Particle Composites Using a Taylor Continuous Crystallizer
(Doshisha U.) *(Stu)Nakamura Takumi, (Reg)Yoshida Mikio, (Reg)Shirakawa Yoshiyuki
Crystal Polymorph
Continuous Crystallization
Machine Learning
SY-79893
Day 2
10:0010:20
K204Proposal of a novel non-isothermal solution-diffusion model considering temperature dependency of the diffusion and partition coefficients
(Hosei U.) *(Stu)Miyazaki Y., (Reg)Kiguchi T., (Reg)Yamashita A. C.
Drug Delivery System
Controlled release membrane
Non-isothermal system
SY-61513
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
L207Evaluation of Membrane Fouling Properties Based on Blocking Filtration Model
(Meijo U.) *(Reg)Katagiri Nobuyuki, Uchida Takehiro
microfiltration
blocking filtration model
membrane fouling
SY-59702
Day 2
11:0011:20
Y207MODEL-BASED LOW GWP REFRIGERANT MIXTURE SCREENING FOR HEAT
(Toyama Pref. U.) *(Stu)Osumi Naru, Kutumi Tomoya, (Reg)Miyamoto Hiroyuki, (AT-PP) (Reg)Oba Shigeo
heat pump
lowGWP refrigerant
process simuration
SY-51757
Day 2
11:2011:40
E208Hydrological simulation for the prediction of algal growth in the Murou Dam Reservoir
(Eikei U. Hiroshima) *(Reg)Sagehashi Masaki, (Tohoku U.) Sano Daisuke, Nishimura Osamu, (Nat. Inst. Public Health) Asada Yasuhiro, Akiba Michihiro
Hydrological simulation
Murou Dam Reservoir
SWAT
SY-83601
Day 2
14:4015:00
S218Investigation of visible light responsive CuOx/TiO2 photocatalytic reaction mechanism using model catalyst structure
(U. Tokyo) *(Stu)Tanaka Jun, (Stu)Nakajima Yusuke, (Reg)Shimogaki Yukihiro, (Reg)Momose Takeshi
photocatalyst
visible light
reaction mechanism
ST-24926
Day 3
9:209:40
L302Novel model for flow analysis during mixing evaluation using Dushman reaction
(Tokyo U. Sci.) *(Reg)Murakami Yuya, Yamazawa Hideta, (Reg)Matsukawa Hiroaki, (Reg)Otake Katsuto, (Reg)Shono Atsushi
Dushman reaction
Mixing efficiency
Partial differential equation
SY-641028
Day 3
10:0011:00
PA317Study of R410A purification conditions by hydrate phase equilibrium model
(Niigata U.) *(Stu)Shimamura Ryoji, (Reg)Komatsu Hiroyuki, (Reg)Tajima Hideo
Gas hydrate
Gas separation
equilibrium
SY-58294
Day 3
10:0011:00
PA365Modeling and structural characterization of amorphous TiO2-SiO2 membrane materials by molecular dynamics simulation and X-ray analysis
(Kobe U.) *(Stu)Kamei Yosuke, (Reg)Yoshioka Tomohisa, (Reg)Nakagawa Keizo, (Reg)Kitagawa Tooru, (Reg)Okamoto Yasunao, (Reg)Matsuoka Atsushi, (Reg)Kamio Eiji, (Reg)Matsuyama Hideto
simulation
amorphous
TiO2-SiO2
SY-58902
Day 3
10:2010:40
H305Simulation of crosslinked network structure formation and prediction of physical properties of bifunctional monomers using a lattice model
(Kanazawa U.) Nishimura Yuki, *(Reg)Taki Kentaro
lattice model
cross-link
photopolymerization
SY-82159
Day 3
11:0012:00
PA312Modelling of pH changes associated with electrolyte solution permeation through nanofiltration membranes
(Kogakuin U.) *(Stu)Muto Y., (Reg)Nakao S., Wang X., (Reg)Akamatsu K.
nanofiltration
pH change
membrane transport model
SY-58232
Day 3
11:2012:00
G308[Requested talk] Development of models for population balance simulation of a stirred-type crystallizer
(Yokohama Nat. U.) (Reg)Misumi R.
Digital twin
mixing
Population balance model
SY-81954
Day 3
13:2013:40
L314[Invited lecture] Flow Resistivity and Shape Modeling of Multi-layered Etched Metal Filters
(Kansai Wire Netting) (Reg)Yoshida Yuichi
computational fluid dynamics
X-ray CT image processing
etched metal filter
ST-25567
Day 3
13:2013:40
S314Understanding high temperature adhesion of calcium compounds using synthetic ash
(TUAT) *(Stu·PCEF)Fujimoto Tsuyoshi, (AIST) (Reg)Horiguchi Genki, (TUAT) (Reg)Okada Yohei, (Reg)Kamiya Hidehiro
Ash
Combustion
Biomass
ST-29756
Day 3
13:2014:20
PB301[Requested talk] High-speed computing for powder mixing process using machine learning
(Osaka Metro. U.) (Stu)Kishida Naoki
Powder mixing
High-speed computing
Machine learning
HQ-1467

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SCEJ 54th Autumn Meeting (Fukuoka, 2023)


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