As we approach the new era 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 frontiers of modeling 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 key challenges and opportunities for modeling-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—to further optimize their behavior and facilitate design of new structural and functional ceramics and composites with tailored properties.

Proposed sessions

  • High-throughput design and characterization
  • Informatics and machine learning
  • Multi-scale modeling of processing, microstructure, and performance
  • Modeling of structure and property of ceramics and composites
  • Modeling defects and amorphous matter
  • Modeling of surfaces, interfaces, and grain boundaries at multiple scales

Organizers

  • Jingyang Wang, Institute of Metal Research, Chinese Academy of Sciences, China, jywang@imr.ac.cn
  • Wai-Yim Ching, University of Missouri-Kansas City, USA
  • Hyung-Tae Kim, Korean Institute of Ceramic Engineering and Technology, Korea
  • Kwang-Ryeol Lee, Korea Institute of Science and Technology, Korea
  • Bin Liu, Shanghai University, China
  • Jian Luo, University of California San Diego, USA
  • Katsuyuki Matsunaga, Nagoya University, Japan
  • Isao Tanaka, Kyoto University, Japan
  • Gerard L. Vignoles, University of Bordeaux, France
  • William J. Weber, University of Tennessee, USA

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