Sym 01  |  Jingyang Wang Ceramics Modeling, Genome and Informatics
Sym 02  |  Sung-Yoon Chung Atomic-Scale Observation of Surface/Interface Phenomena in Ceramics
Sym 03  |  Yunseok Kim Imaging of Emerging Phenomena in Electroceramics
Sym 01 Ceramics Modeling, Genome and Informatics
Organizer Jingyang Wang Institute of Metal Research, Chinese Academy of Sciences, China
Co-Organizer Kwang-Ryeol Lee
Bin Liu
Gerard L. Vignoles
Katsuyuki Matsunaga
Sergei Manzhos
William J. Weber
Valentino Cooper
Jian Luo
David Poerschke
Korea Institute of Science and Technology, Korea
Shanghai University, China
University of Bordeaux, France
Nagoya University, Japan
National University of Singapore, Singapore
University of Tennessee, USA
Oak Ridge National Laboratory, USA
University of California, San Diego, USA
University of Minnesota, USA
Recent progress in computational materials science has 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, modeling, genome, informatics, and machine learning 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 thermo-structure, 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.