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SCEJ 52nd Autumn Meeting (Okayama, 2021)

Program search result : machine learning : 22 programs

ST-25,SY-56,SY-64,SY-65,SY-70 are changed from live streaming sessions to online sessions.
The preprints are now open (Sep. 8). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants (excludes free registration) and invited persons are required.

Keywords field exact matches “machine learning”; 22 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
9:0010:30
PA104Application of machine learning to prediction and improvement of target product yields in catalytic cracking of triglyceride
catalytic cracking
triglyceride
machine learning
SY-62778
Day 1
10:4011:00
LD106Hybrid Plug-Flow Reactor model applying machine learning
Plug-flow reactor
Machine learning
Ammonia synthesis
SY-6583
Day 1
11:0011:20
LD107Analysis of phase behavior of phase separation CO2 absorbent using machine learning by molecular information
CO2 capture
phase separation absorbent
machine learning
SY-65641
Day 1
11:2011:40
VD108Comparison of Gaussian Process Regression with Linear Regression in Electricity Demand Forecasting Using Energy Data
distributed generation
renewable energy
machine learning
ST-23639
Day 1
11:2011:40
VG108Flow simulation of polymeric liquids with learned constitutive relation
non-Newtonian fluid
Machine Learning
CFD
SY-52587
Day 1
11:4012:00
VF109Application of machine learning from molecular information and data processing for system design of liquified phase by high-pressure CO2
molecular information
solid-liquid-vapor equilibrium
machine learning
SY-51636
Day 1
11:4012:00
VN109Analysis of amide compound reaction in subcritical water by machine learning
Subcritical water
Machine learning
Protein
SY-73805
Day 1
12:4013:40
PA104Application of machine learning to prediction and improvement of target product yields in catalytic cracking of triglyceride
catalytic cracking
triglyceride
machine learning
SY-62778
Day 1
13:4014:00
LE115[Featured presentation] Machine learning-based screening of storage protein-derived bioactive peptides for oral intake
Machine learning
Peptides
Screening
SY-71170
Day 1
13:4014:00
VM115[Featured presentation] Machine learning-mediated analysis and design for microbial growth media
machine learning
fermentation
bioprocess
SY-69144
Day 1
15:0016:25
PB103Stress prediction of particle structure by numerical simulation and machine learning
Stress distribution
DEM
Machine learning
ST-24874
Day 1
15:4016:00
VE121Screening of pharmaceutical cocrystal formation with machine learning by molecular informatics
pharmaceutical cocrystal
machine learning
molecular informatics
ST-27628
Day 1
16:2016:40
LA123[Requested talk] Nano material data-bases and the prediction of materials properties
Nano Material
Machine Learning
Database
SP-2103
Day 2
9:0010:00
PB259Machine learning and a high-throughput cultivation for design of growth media in a heterologous protein production
Escherichia coli
Green fluorescence protein
Machine learning
SY-6717
Day 2
9:109:40
VN201[Requested talk] Development of fast chemical process using high pressure fluids: Continuous extraction and machine learning
supercritical
extraction
machine learning
SY-73192
Day 2
9:4010:00
VN203Prediction of organic compound solubility in subcritical water by machine learning
Solubility
Subcritical water
Machine learning
SY-73679
Day 2
10:4011:40
PB231Prediction of Cofactor specificity of malic enzyme using machine learning
Enzyme
Machine learning
Cofactor
SY-67429
Day 2
12:5014:10
PB231Prediction of Cofactor specificity of malic enzyme using machine learning
Enzyme
Machine learning
Cofactor
SY-67429
Day 2
12:5014:10
PB259Machine learning and a high-throughput cultivation for design of growth media in a heterologous protein production
Escherichia coli
Green fluorescence protein
Machine learning
SY-6717
Day 2
13:0013:40
LA213[Invited lecture] Applied digital technology for bioproduction process
Bioproduction
Digital transformation
Machine learning
SV-161
Day 3
10:3512:00
PA306A trial study on machine learning to develop ion solvation extractants for Au(III)
machine learning
extraction
Au(III)
SY-57117
Day 3
15:0015:20
LG319Development of an automatic flow synthesis system for nanoparticles and analysis of synthesis conditions by machine learning
Nanoparticle
Microreactor
Machine Learning
SY-77670

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SCEJ 52nd Autumn Meeting (Okayama, 2021)


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