Recent progress in computational materials science significantly enhanced the efficiency with which the understanding of fundamental phenomena, the improvement of materials performance, the optimization of processing, the discovery of new materials, and the design of structural components can be achieved. This symposium will focus on the 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 ceramics and composites with tailored properties. A broader perspective is desired, including the interest related to ceramic genome, virtual materials design, informatics, and machine learning for new innovative materials and thermostructure, integrated materials computational engineering, prediction of the 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 the modeling of surfaces, interfaces, and grain boundaries at multiple scales.

Proposed Session Topics

  • High-throughput design and characterization
  • Informatics and machine learning
  • Multiscale 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
  • Bin Liu, Shanghai University, China
  • 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