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Doctor of Philosophy（Materials Science） >
R06) (Jun.2024 - Mar.2025 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10119/19939
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| Title: | 特徴量設計に基づく機械学習を用いたメタン酸化カップリング触媒の開発 |
| Authors: | 藤原, 綾 |
| Authors(alternative): | ふじわら, あや |
| Keywords: | Catalyst informatics
Machine learning
High-throughput experimentation
Oxidative coupling of methane
Descriptor design technology |
| Issue Date: | Mar-2025 |
| Description: | Supervisor: 谷池 俊明
先端科学技術研究科
博士 |
| Title(English): | Development of methane oxidative coupling catalysts with feature engineering-based machine learning |
| Authors(English): | FUJIWARA, AYA |
| Language: | eng |
| URI: | http://hdl.handle.net/10119/19939 |
| Academic Degrees and number: | 甲第1544号 |
| Degree-granting date: | 2025-03-21 |
| Degree name: | 博士 (マテリアルサイエンス) |
| Degree-granting institutions: | 北陸先端科学技術大学院大学 |
| Appears in Collections: | D-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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| summary.pdf | 内容の要旨及び論文審査の結果の要旨 | 174Kb | Adobe PDF | View/Open |
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