| Project/Area Number |
23KF0063
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Multi-year Fund |
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| Section | 外国 |
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| Review Section |
Basic Section 62010:Life, health and medical informatics-related
|
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| Research Institution | Nagoya University |
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Principal Investigator |
山西 芳裕 名古屋大学, 情報学研究科, 教授 (60437267)
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| Co-Investigator(Kenkyū-buntansha) |
LI CHEN 名古屋大学, 情報学研究科, 外国人特別研究員
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| Project Period (FY) |
2023-04-25 – 2025-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥2,000,000 (Direct Cost: ¥2,000,000)
Fiscal Year 2024: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2023: ¥1,000,000 (Direct Cost: ¥1,000,000)
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| Outline of Research at the Start |
In this study, we propose a new method by combining a transformer and GAN to generate realistic molecules. I would like to propose a property-optimized GAN that contains only transformer encoders to generate molecules with the desired chemical properties.
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