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SCEJ 88th Annual Meeting (Tokyo, 2023)

Program search result : 東大院総文 : 10 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.

Affillations (J) field begins with “東大院総文”, “U. Tokyo”; 10 programs are found.
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
13:4014:00
D115[Invited lecture] Application of PSE into social challenges
Life cycle management
Resource circulation
Regional transformation
K-2610
Day 1
13:4014:00
I115CFD-based investigation of a novel decontamination process using ultrasound technology
Biopharmaceuticals
Decontamination process
CFD modeling
6-b407
Day 1
13:4014:00
J115A CFD model-based design of seeding processes for two-dimensional mesenchymal stem cell cultivation
Heterogeneity
Cultivation
Regenerative medicine
7-a158
Day 1
14:0014:20
D116[Invited lecture] The role of data-driven and hybrid modeling in biopharmaceutical manufacturing
PSE
K-2612
Day 1
14:2014:40
D117[Invited lecture] Design of New Energy Harvesting Technologies for Cyber-Physical Systems
Energy harvesting
Cyber-Physical Systems
Magnetic Phase Transition
K-2611
Day 1
16:2016:40
J123Unraveling the mechanochromism of polydiacetylene under liquid environment
Polydiacetylene
friction force microscopy
biosensor
7-g144
Day 2
9:2010:20
PB233Structural mapping of polydiacetylene by hyperspectral microscopy
Polydiacetylene
Hyperspectral Microscope
7-i94
Day 2
10:2011:20
PB236Prevention of Postoperative Peritoneal Adhesion by Hepatocyte Growth Factor DNA Aptamer
HGF DNA Aptamer
Postoperative Peritoneal Adhesion
Mesothelial Mesenchymal Transition
7-e433
Day 3
9:209:40
I302A red light-responsive photoswitch for deep tissue optogenetics
Optogenetics
Cre recombinase
CRISPR-Cas9
7-e25
Day 3
10:4011:00
H306[Featured presentation] Machine learning-based calibration of physical properties in bulk material simulations
Discrete element method
Machine learning
Model identification
2-f284
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SCEJ 88th Annual Meeting (Tokyo, 2023)


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