Data-Driven Design toward to dramatic improvement automotive performance
| Reference No. | 2024a001 |
|---|---|
| Type/Category | Grant for General Research-Workshop（Ⅰ） |
| Title of Research Project | Data-Driven Design toward to dramatic improvement automotive performance |
| Principal Investigator | Takashi NAKAZAWA（Emerging Media Initiative, Kanazawa university, Japan / Associate Professor） |
| Research Period |
October 07, 2024. - October 08, 2024. |
| Keyword(s) of Research Fields | automotive engineering, surrogate model，Generative AI，PINNs |
| Objectives and Expected Results | In this symposium, we focus on prediction and design on fluid flow in the view point of automotive engineering, and discuss about high efficiency Fluid prediction model or 3D shape design based on surrogate model. |
| Organizing Committee Members (Workshop) Participants (Short-term Joint Usage) |
Takashi NAKAZAWA（Kanazawa University / Associate Professor） |
| Public Website | https://joint.imi.kyushu-u.ac.jp/post-15299/ |