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Master of Science（Materials Science） >
R06) (Jun.2024 - Mar.2025 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10119/19376
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| Title: | Machine learning-aided structure determination of the heterogeneous Ziegler-Natta catalyst: insight into donor adsorption |
| Authors: | da Silveira, João Marcos |
| Authors(alternative): | だ しるべいら, じょあん まるこす |
| Keywords: | Ziegler-Natta catalyst
Structure determination
Genetic algorithm
Density functional theory |
| Issue Date: | Sep-2024 |
| Description: | Supervisor:谷池 俊明
先端科学技術研究科
修士(マテリアルサイエンス） |
| Title(English): | Machine learning-aided structure determination of the heterogeneous Ziegler-Natta catalyst: insight into donor adsorption |
| Authors(English): | da Silveira, João Marcos |
| Language: | eng |
| URI: | http://hdl.handle.net/10119/19376 |
| Appears in Collections: | M-MS. 2024年度(R06) (Jun.2024 - Mar.2025)
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Files in This Item:
| File |
Description |
Size | Format |
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| abstract.pdf | 要旨 | 1363Kb | Adobe PDF | View/Open |
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