113學年材料系-第十一週 專題研討課程 演講公告 (113年11月18日)
2024.11.13
113學年上學期 第十一週 專題研討課程 演講公告 (113年11月18日)
題目:
How to use the artificial intelligence method developing new materials
演講者: 劉禹辰 教授
現職: 國立成功大學 機械工程學系 助理教授
時間: 113年11月18日(一) 15:10~17:00
地點: 成功大學成功校區 材料系 協勝發講堂
內容摘要:
Machine learning methods have been aggressively pursued as a powerful tool to predict the complex physical properties of materials. In this talk, I will demonstrate how we employed machine learning to develop models for these properties. Some examples of the development of electronic and structural materials will be presented. For instance, we have built up a machine-learning model to predict the hardening of steel under neutron irradiation, where the yield stress increases. This causes safety concerns for nuclear power plants. The microstructure was complicated, but our model captured the physics of the properties with the input information of composition and irradiation conditions. The successful extrapolations showed that machine learning models are capable of capturing key irradiation conditions.
歡迎各位撥冗參加!
題目:
How to use the artificial intelligence method developing new materials
演講者: 劉禹辰 教授
現職: 國立成功大學 機械工程學系 助理教授
時間: 113年11月18日(一) 15:10~17:00
地點: 成功大學成功校區 材料系 協勝發講堂
內容摘要:
Machine learning methods have been aggressively pursued as a powerful tool to predict the complex physical properties of materials. In this talk, I will demonstrate how we employed machine learning to develop models for these properties. Some examples of the development of electronic and structural materials will be presented. For instance, we have built up a machine-learning model to predict the hardening of steel under neutron irradiation, where the yield stress increases. This causes safety concerns for nuclear power plants. The microstructure was complicated, but our model captured the physics of the properties with the input information of composition and irradiation conditions. The successful extrapolations showed that machine learning models are capable of capturing key irradiation conditions.
歡迎各位撥冗參加!