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SCEJ 54th Autumn Meeting (Fukuoka, 2023)

Program search result : Kim Sanghong : 10 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.

Authors field exact matches “Kim Sanghong”; 10 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
14:20– 15:00		T117[Invited lecture] Fuel cell system from multiscale viewpoint
(Kyoto U./ Toyota Motor) *(Reg)Hasegawa Shigeki, (TUAT) (Reg)Kim Sanghong, (Kyoto U.) (Reg)Kageyama Miho, (Reg)Kawase Motoaki
Fuel cell
Multiscale
Modeling
ST-301023
Day 2
9:00– 9:20		H201Elucidation of appropriate data acquisition conditions for API concentration prediction by NIR
(Kyoto U.) *(Stu)Fukuoka Norihiko, (Powrex/TUAT) (Reg)Oishi Takuya, (Powrex) (Reg)Nagato Takuya, (TUAT) (Reg·APCE)Kim Sanghong, (Kyoto U.) (Reg)Sotowa Ken-Ichiro
NIR Spectrum
diffuse reflectance measurement
API concentration prediction
ST-21741
Day 2
9:00– 9:20		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
9:20– 9:40		H202Development of a soft sensor and a controller system of hydrogen concentration in the exhaust gas in fuel cell systems
(TUAT) *(Stu)Izawa Taisei, (Reg·APCE)Kim Sanghong, (Reg)Matsumoto Miyuki, (Kyoto U.) (Reg)Hasegawa Shigeki, (Reg)Kawase Motoaki
PEFC
Hydrogen control
soft sensor
ST-21203
Day 2
10:20– 12:00		   Chair: Kim Sanghong
H205Gaussian Process Regression Approaches for Process Optimization: A Case Study of Interface State Density Prediction between Insulator and Semiconductor
(NAIST) *(Stu)Matsunaga K., (AIST) Uenuma M., (NAIST) Sato A., Uraoka Y., Miyao T.
Gaussian process regression
length-scale
Metal-oxide-semiconductor
ST-21204
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
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
H208Batch Bayesian optimization method for goal-oriented multi-objective functional materials design
(Resonac) (Cor)Hanaoka Kyohei
Bayesian Optimization
ST-21385
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
11:40– 12:00		J209[Featured presentation] Elucidation of the impact of mixing and tableting conditions in the continuous manufacturing process of solid dosage forms on intermediate and final products
(Kyoto U.) *(Stu·PCEF)Kobayashi Yuki, (TUAT) (Reg)Kim Sanghong, (Powrex) (Reg)Nagato Takuya, (Reg)Oishi Takuya, (Kyoto U.) (Reg)Kano Manabu
Process modeling
Continuous manufacturing
Product quality
SY-65479
Day 2
13:00– 14:00		   Chair: Kim Sanghong
J213Optimization of the chemical production process using biomass as feedstock
(Kyoto U.) *(Reg)Sotowa Ken-Ichiro, Kinoshita Makoto, (Reg)Tonomura Osamu, (Int)Oh Tae Hoon
biomass
supply chain
optimization
SY-65993
J214Fokker-Planck equation based Stochastic Model Predictive Control
(Kyoto U.) (Int)Oh Tae Hoon
Process Control
Model Predictive Control
Stochastic Control
SY-65598
J215Kinetic study and design space exploration of amination reaction in flow synthesis of drug substances
(U. Tokyo) *(Reg)Kim Junu, (Reg)Hayashi Yusuke, (Int)Badr Sara, (Pharmira) Okamoto Kazuya, Hakogi Toshikazu, (Reg)Furukawa Haruo, (Shionogi Pharma) (Reg)Yoshikawa Satoshi, (Reg)Nakanishi Hayao, (U. Tokyo) (Reg)Sugiyama Hirokazu
Flow chemistry
Active pharmaceutical ingredients
Continuous manufacturing
SY-65699
Day 2
15:20– 15:40		J220Study of Scaling factor optimization based on accuracy in training data to improve MSPC accuracy
(Powrex/TUAT) *(Reg)Oishi Takuya, (Powrex) (Reg)Nagato Takuya, (TUAT) (Reg)Kim Sanghong
Continuous Pharmaceutical Manufacturing
Wet Granulation
Multivariate Statistical Process Control
SY-65781
Day 3
10:00– 10:20		I304Dynamic Analysis of Fuel Cell Material Degradation by Integrated Fuel Cell System Simulator
(Kyoto U./Toyota Motor) *(Reg)Hasegawa Shigeki, (Toyota Motor) Ikogi Yoshihiro, (TUAT) (Reg·APCE)Kim Sanghong, (Kyoto U.) (Reg)Kageyama Miho, (Reg)Kawase Motoaki
fuel cell
system
simulation
ST-23831
Day 3
10:00– 11:00		   Chair: Kim Sanghong
I304Dynamic Analysis of Fuel Cell Material Degradation by Integrated Fuel Cell System Simulator
(Kyoto U./Toyota Motor) *(Reg)Hasegawa Shigeki, (Toyota Motor) Ikogi Yoshihiro, (TUAT) (Reg·APCE)Kim Sanghong, (Kyoto U.) (Reg)Kageyama Miho, (Reg)Kawase Motoaki
fuel cell
system
simulation
ST-23831
I305(withdrawn)

100857
I306Numerical Analysis on Effects of Operating Temperature and Separator Thickness on Power Generation Characteristics and Heat and Mass Transfer Phenomena in a Single PEFC Cell Operating at High Temperature
(Mie U.) *(Stu)Mishima Daiki, (Reg)Nishimura Akira, (Stu)Ito Syogo, Konbu Tsubasa
PEFC
Separator
High Temperature
ST-23152

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SCEJ 54th Autumn Meeting (Fukuoka, 2023)

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