Recent progress in computational materials science has significantly enhanced the efficiency with which understanding of fundamental phenomena, improvement of materials performance, optimization of processing, discovery of new materials, and design of structural components can be achieved. This symposium will focus on 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 ceramics and composites with tailored properties.

A broader perspective is desired, including interest related to ceramic genome, virtual materials design, informatics, and machine learning for new innovative materials and thermo-structure, integrated materials, computational engineering, prediction of structure and properties of crystals, glasses and defects, modeling materials behavior under extreme/harsh environments, application of novel simulation methods for materials processing and performance, simulation of novel ceramics for functional applications, and modeling of surfaces, interfaces, and grain boundaries at multiple scales.

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


  • Jingyang Wang, Institute of Metal Research, Chinese Academy of Sciences, China,
  • Valentino Cooper, Oak Ridge National Laboratory, USA
  • Hyung-Tae Kim, Korean Institute of Ceramic Engineering and Technology, Korea
  • Ting Liao, Queensland University of Technology, Australia
  • Jian Luo, University of California San Diego, USA
  • Katsuyuki Matsunaga, Nagoya University, Japan
  • Sergei Manzhos, Institut National de la Recherche Scientifique (INRS), Canada
  • Paul Rulis, University of Missouri-Kansas City, USA
  • Hans J. Seifert, Karlsruhe Institute of Technology, Germany
  • Gerard L. Vignoles, University of Bordeaux, France
  • William J. Weber, University of Tennessee, USA
  • Haixuan Xu, University of Tennessee, USA