游濟華 副教授
介紹
姓名:
游濟華
職稱:
副教授
學歷:
臺灣大學博士
分機:
63332
信箱:
jonnyyu@gs.ncku.edu.tw
成就:
實驗室:
專長:
人工智慧、計算力學、先進封裝、EDA工具開發、最佳化設計、智慧製造
經歷
起迄時間
名稱
2015-05-01~2017-07-01
台灣大學博士後研究員
2017-08-01~2018-09-30
科盛科技股份有限公司Moldex3D資深研發工程師
2018-10-01~2020-07-31
麻省理工學院博士後研究員
2020-08-01~2024-01-31
國立成功大學工程科學系 助理教授
2024-02-01~迄今
國立成功大學工程科學系 副教授
期刊論文
- Zhenze Yang, Chi-Hua Yu, Markus J. Buehler (2021, Apr). Deep Learning Model to Predict Complex Stress and Strain Fields in Hierarchical Composites . Science Advances.
- C-Y. Hsu, C-H. Yu, M. J. Buehler (2021). Tuning Mechanical Properties in Polycrystalline Solids Using a Deep Generative Framework. Advanced Engineering Materials. MOST 109-2222-E-006-005-MY2.
- K. Guo, Z. Yang, C-H. Yu, M. J. Buehler (2021). Artificial Intelligence and Machine Learning in Design of Mechanical Materials. Materials Horizons. MOST 109-2222-E-006-005-MY2.
- Sebastian Louis Franjou, Mario Milazzo, Chi-Hua Yu and Markus J Buehler (2020, Nov). A perspective on musical representations of folded protein nanostructures. Nano Futures. MOST 109-2222-E-006-005-MY2.
- Chi-Hua Yu, Markus J. Buehler (2020). Sonification based de novo protein design using artificial intelligence, structure prediction, and analysis using molecular modeling. APL Bioengineering.本人為第一作者
- Yu-Chan Hsu, Chi-Hua Yu, Markus J. Buehler (2020). Using Deep Learning to Predict Fracture Patterns in Crystalline Solids. Matter.
- Chi-Hua Yu, Zhao Qin, Francisco J. Martin-Martinez, Markus J. Buehler (2019). A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence. ACS Nano. 本人為第一作者
- Sebastian L. Franjou, Mario Milazzo, Chi-Hua Yu, Markus J. Buehler (2019). Sounds interesting: can sonification help us design new proteins?. Expert Review of Proteomics.
- Chi-Hua Yu, Zhao Qin, Markus J. Buehler (2019). Artificial intelligence design algorithm for nanocomposites optimized for shear crack resistance. Nano Futures. 本人為第一作者
- Weinan Xu, Santosh K. Paidi, Zhao Qin, Qi Huang, Chi-Hua Yu, Jayson V. Pagaduan, Markus J. Buehler, Ishan Barman, David H. Gracias (2018). SelfFolding Hybrid Graphene Skin for 3D Biosensing. Nano Letters.
- Weinan Xu, Santosh K. Paidi, Zhao Qin, Qi Huang, Chi-Hua Yu, Jayson V. Pagaduan, Markus J. Buehler, Ishan Barman, David H. Gracias (2018). SelfFolding Hybrid Graphene Skin for 3D Biosensing. Nano Letters.
研討會論文
- C-W. Huang, C-H. Yu, S-W. Chang, C-S Chen (2016, Nov). Rolling Resistance of Adhesive Nanoparticle: Molecular Dynamics Simulation and Continuum Model. The 40th National Conference on Theoretical and Applied Mechanics
- C-H. Yu, K-P. Lin, C-S Chen (2016, Aug). Size-dependent effect on Geometrically Necessary Dislocation and Nanoindentation. The 12th World Congress on Computational Mechanics, Souel. 本人為第一作者
國科會計畫
- 利用仿生及材料基因數位技術平台設計並開發具優異機械性能之創新輕量化結構材料2020 - 2021
- 仿生結構超材料之智慧設計平台2020 - 2022
專書
- Nanoindentation and Indentation Size Effects: Continuum Model and Atomistic Simulation
- Micromechanics Modeling of Creep Fracture of High Temperature Ceramics
榮譽事項
- 工學院111年度「明日之星」研究獎助計畫獎2022
- 111年度教學實踐研究計畫之「績優計畫」2023
- 帶領學生參加東元科技舉辦「2025淨零排放科技國際競賽」榮獲卓越獎2025