SCEJ 55th Autumn Meeting (Sapporo, 2024)
Program search result : 構築 : 30 programs
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Title (J) field includes “構築”; 30 programs are found. (“Poster with Flash” presentations are double-counted.)
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| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 1 | YB128 | Construction of yield prediction model in catalytic cracking of vegetable oils considering fatty acid composition | catalytic cracking vegetable oil machine learning | SY-63 | 697 |
| Day 1 | YB130 | Construction of Prediction Model for the Yield of Suzuki-Miyaura Type Cross-Coupling Reactions Using Polymeric Ni Catalysts and Proposal of Novel Polymeric Ni Catalysts | Machine Learning Polymeric Ni Catalysts Chemical Reactions | SY-63 | 271 |
| Day 1 | YB131 | Extension of chemical reaction neural network for kinetic model construction of heterogeneous catalyst reactions | chemical reaction neural network kinetic model heterogeneous catalyst | SY-63 | 255 |
| Day 1 | YA162 | Validation of cell-free protein synthesis systems in the construction of an enzyme selection system using hydrogel beads | Hydrogel beads Cell-free protein synthesis High-throughput screening | SY-68 | 563 |
| Day 1 | YA182 | A prioritization of parameter determinations for constructing a kinetic model of metabolic pathways | Kinetic model Metabolic pathway | SY-68 | 306 |
| Day 1 | L113 | Machine learning model estimating blood glucose monitoring from mid-infrared spectra measured by the photothermal monitoring method | mid-infrared spectra noninvasive blood glucose monitoring machine learning | SY-66 | 102 |
| Day 1 | D115 | A quantitative correlation between the surface modification degree of nanoparticles and their dispersibility in composite films | Inorganic nanoparticles Surface modification Dispersibility | SY-79 | 621 |
| Day 1 | S116 | Construction of a machine learning model for predicting the characteristics from the fuel cell electrode catalyst layer preparation process | Fuel Cell Electrode Machine learning | ST-23 | 489 |
| Day 1 | YA162 | Validation of cell-free protein synthesis systems in the construction of an enzyme selection system using hydrogel beads | Hydrogel beads Cell-free protein synthesis High-throughput screening | SY-68 | 563 |
| Day 1 | YA182 | A prioritization of parameter determinations for constructing a kinetic model of metabolic pathways | Kinetic model Metabolic pathway | SY-68 | 306 |
| Day 1 | Q119 | [Invited lecture] Construction of an automated synthesis/analysis system directly connecting a supercritical fluid chromatograph and a synthesis robot. | supercritical fluid chromatograph automated synthesis robot information science | SY-73 | 297 |
| Day 1 | YB131 | Extension of chemical reaction neural network for kinetic model construction of heterogeneous catalyst reactions | chemical reaction neural network kinetic model heterogeneous catalyst | SY-63 | 255 |
| Day 1 | B123 | [Invited lecture] Development of Core Technologies for Manufacturing Processes of Next-Generation Advanced Ceramics | advanced ceramics process informatics data driven | SP-2 | 357 |
| Day 1 | YB128 | Construction of yield prediction model in catalytic cracking of vegetable oils considering fatty acid composition | catalytic cracking vegetable oil machine learning | SY-63 | 697 |
| Day 1 | YB130 | Construction of Prediction Model for the Yield of Suzuki-Miyaura Type Cross-Coupling Reactions Using Polymeric Ni Catalysts and Proposal of Novel Polymeric Ni Catalysts | Machine Learning Polymeric Ni Catalysts Chemical Reactions | SY-63 | 271 |
| Day 2 | YA206 | Constructing model for predicting pesticide activity using scaffolds by machine learning and visualizing the basis for prediction | Machine Learning Quantitative Structure-Activity Relationship Pesticide | SY-78 | 86 |
| Day 2 | YA232 | Construction of predictive model for biodegradability as an alternative to biodegradability test using machine learning | Machine Learning Biodegradation plastic | SY-78 | 90 |
| Day 2 | YA258 | Evaluation of optical properties of light shielding gel using temperature-responsive polymer and construction of a model for predicting transmittance | temperature-responsive polymer light shielding material gel | SY-78 | 659 |
| Day 2 | YB245 | Machine learning model predicting properties from monomer structures of alkyl sulfonated polyimides | alkyl sulfonated polyimide machine learning fuel cell | SY-75 | 82 |
| Day 2 | L216 | Deep Learning Prediction Model for Solubility of Nanoparticles From Perspective of Similarity | Nanoparticle solubility Deep learning | SY-66 | 677 |
| Day 2 | F218 | Development of a reaction kinetic model of hydrothermal synthesis of formic acid from KHCO3 solution. | CCU alkali bicarbonate chemical absorption | SY-64 | 884 |
| Day 2 | E220 | Development of a product composition prediction model for catalytic cracking reactions and its application to the prediction of reactions with unknown feedstocks | physics-informed machine learning catalytic cracking reaction prediction | ST-22 | 1128 |
| Day 3 | E303 | Control of foam on white water and improvement of operational efficiency by modeling a soft sensor | soft sensor machine learning factory automation | ST-22 | 95 |
| Day 3 | YA325 | New Test Center for Evaluating CO2 Capture Materials using Flue Gas from a Gas Boiler | absorption adsorption membrane | SY-57 | 536 |
| Day 3 | YA331 | Molecular modelling of solvation structures to evaluate the fouling resistance of zwitterionic materials. | betaines biocompatibility molecular dynamics | SY-57 | 662 |
| Day 3 | S307 | [Invited lecture] Air Water Group's Efforts to Development of a Decarbonized Energy Supply Chain S307 will be presented by (Air Water) Tanaka Masako. | Biomethane Hydrogen Carbon Neutral Energy | ST-23 | 1035 |
| Day 3 | YA360 | Construction of zwitterionic polymer brush for design of anti-fouling membrane | anti-fouling polymer brush water treatment membrane | SY-57 | 932 |
| Day 3 | E313 | [Invited lecture] Introduction to Case Studies on the Development and Utilization of Informatics Technologies | Informatics Industry R&D acceleration | ST-22 | 144 |
| Day 3 | Q316 | Establishment of media design guideline for acceleration of supercritical nano washing process | surface modified nanoparticles supercritical CO2 washing entrainer | SY-73 | 279 |
| Day 3 | I324 | Constructing a Model for Predicting the Growth of Microalgae | Microalgae Nannochloropsis Growth Simulation | ST-24 | 858 |
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SCEJ 55th Autumn Meeting (Sapporo, 2024)
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