第十四届先进陶瓷国际会议
Invited Speakers
S1.先进结构陶瓷和复合材料前沿:从日常使用到极端高温
S2.纳米层状碳化物/氮化物/硼化物及其二维材料
S3. 聚合物前驱体陶瓷
S4. 陶瓷基复合材料前沿
S5. 多孔陶瓷及其在能源与环境中的应用
S6.  先进耐火材料与传统陶瓷
S7.  透明陶瓷与发光材料
S8. 新型陶瓷涂层与技术
S9.  粉体工艺与烧结前沿
S10.3D 打印和增材制造进展
S11.  热电材料与器件
S12. 铁电与压电陶瓷
S13.  铁电与多铁薄膜
S14.  先进储能电介质材料
S15.  新兴光伏材料和器件
S16. 高熵陶瓷:极端环境下设计、加工和应用的创新
S17.  陶瓷材料纳米级表征
S18. 微波介电陶瓷及其应用
S19.  离子及混合传导陶瓷
S20.  生物陶瓷前沿
S21.数据驱动和人工智能在陶瓷和复合材料中的应用
S21 Data driven and AI for ceramics and composites

As we approach the new area of explosive generation of big data and creative concept of high-throughput modeling and design, artificial intelligence and machine learning, we may envisage a completely different paradigm for advancing new knowledge and discovery of ceramic materials. This symposium will focus on the fronties of computational-experimental advancements on the fundamental understanding and improvement of ceramic performances, the discovery of new ceramic materials, and the design of structural ceramic components. A broader perspective will be discussed on the key challenges and opportunities for AI related science and technology in accelerating materials innovation and creating sustainable development. Key topics include high throughput design and characterization, informatics and machine learning, and modeling of ceramics and composites with different approaches in both computational research and experimental measurements across the length and time scales so as to further optimize their behavior and facilitate the design of new structural and functional ceramics and composites with tailored properties.

Focused topics:
1.High-throughput design and characterization
2.Informatics and machine learning
3.Multi-scale modeling of processing, microstructure and performance
4.Modeling of structure and property of ceramics and composites
5.Modeling various defects and amorphous matter at multiple scales
6.Modeling and design of continuous fiber-reinforced ceramic matrix composites
7.Modeling and prediction of ceramic materials properties in local structures, such as interfaces, surfaces and dislocations.

Organizers:
Jingyang Wang, Institute of Metal Research, Chinese Academy of Sciences, China
Bin Liu, Shanghai University, China
Yuelei Bai, Harbin Institute of Technology, China
Gerard L. Vignoles, University of Bordeaux, France
Sergei Manzhos, Tokyo Institute of Technology, Japan
Shuzhou Li, Nanyang Technological University, Singapore
Shijun Zhao, City University of Hong Kong, China
Neng Li, Wuhan University of Technology, China
Liang Wang, Shanghai Institute of Ceramics, Chinese Academy of Sciences, China
Huimin Xiang, Zhengzhou University, China
Weiwei Sun, Southeast University, China
Yiran Li, Shanghai University, China

Point of Contact:
Jingyang Wang: jywang@imr.ac.cn
Bin Liu: binliu@shu.edu.cn
Yuelei Bai: baiyl@hit.edu.cn
S22. 用于传感器件的多功能纳米材料和异质结构
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