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SCEJ 89th Annual Meeting (Sakai, 2024)
Program search result : 機械 : 12 programs
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Title (J) field includes “機械”; 12 programs are found.
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| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 1 | PA130 | Machine-learning-assisted molecular evolution for the analysis of sequence-structure-function relationships | Protein Machine learning Molecular evolution | 7-a | 547 |
| Day 1 | F122 | Development of Hybrid Kinetic Model Applying Machine Learning for Liquid Phase Photocatalytic Reaction | Photocatalyst Kinetics Machine learning | 5-a | 693 |
| Day 2 | PB214 | Construction of machine learning models to predict the dielectric constant of epoxy resin and design of monomer structures to achieve low dielectric constant | Epoxy Resin Materials Infomatics Dielectric Constant | 6-b | 55 |
| Day 2 | PB221 | Real time monitoring of polymer properties and design of polymerization process with machine learning | machine learning polymer Online sensing | 6-d | 66 |
| Day 2 | F204 | Exploring the large-area graphene CVD conditions by machine learning assisted image analysis | Graphene Chemical vapor deposition Machine learning | 5-i | 302 |
| Day 2 | A212 | [The SCEJ Award for Outstanding Technological Development] Development of monitoring and control technology for amino acid fermentation process using machine learning | The SCEJ Award for Outstanding Technological Development | 0-d | 747 |
| Day 2 | K217 | Coarse-Grained Force Field Parametrization for Polymers Using Machine Learning | Coarse-Grained Force Field Machine Learning | 6-g | 220 |
| Day 2 | F219 | Polymer immobilization catalysts using machine learning methods | Polymer Immobilized Catalyst Machine Learning Pd | 5-f | 717 |
| Day 3 | I304 | Dispersion prediction of surface modified nanoparticles using machine learning model with various molecular descriptors | machine learning dispersion prediction surface modified nanoparticles | 1-b | 242 |
| Day 3 | PE340 | Formation of porous layer, rapid epitaxy, and detachment of monocrystalline Si film on and from monocrystalline Si wafer | Monocrystalline Si film Rapid vapor deposition Porous Si | 5-h | 65 |
| Day 3 | K316 | Machine-Learning-Aided Understanding of Protein Adsorption onto Zwitterionic Polymer Brushes | Zwitterionic polymer Antifouling Machine learning | 12-a | 554 |
| Day 3 | B319 | [Requested talk] Application of AI and SHM technologies to the field of machine and structure maintenance and the design of machines and structures when the technologies are to be used during operation | AI SHM Maintenance | SS-5 | 156 |
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SCEJ 89th Annual Meeting (Sakai, 2024)
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