SYMPOSIUM 10: Integrated Computational-Experimental Modeling and Design of Ceramics and Composites
Recent advances in computational materials science coupled with artificial intelligence and machine learning approaches have significantly enhanced our understanding of fundamental phenomena in material behavior. These advances have contributed to improvement in materials performance, as well as discovery and the design of new materials and structures. This symposium solicits research on state-of-the-art machine learning architectures for a range of analysis, characterization, design, and modeling of ceramics and composites with tailored properties. Approaches in both computational research and experimental measurements across the length and time scales are encouraged. Examples include, but are not limited to, ML-assisted novel microstructure/composite material design, establishing structure-property relationships in complex material microstructures, multiscale modeling through ML-driven coupling between scales, AI-augmented experimental design, characterization and computational surrogate models for (multiphysics) behavioral predictions, and data-driven frictional and mechanical response models. Of particular interest is also thermo-electro-mechanical response of ferroelectric ceramics, micro-structure characterization, and the development of physically-informed materials design strategies. A broader perspective is desired including the interest related to ceramic genome, virtual materials design, 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
- Friction, wear, and tribology
- Fracture and damage mechanics
- 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
- Electro-active materials (ferroelectrics and dynamic viscoelasticity)
Symposium Organizers
- Jingyang Wang, Institute of Metal Research, Chinese Academy of Sciences, China
- Gerard L. Vignoles, University of Bordeaux, France
- Ghatu Subhash, University of Florida, USA
- Sathiskumar Anusuya Ponnusami, City, University of London, United Kingdom
- Joaquin Garcia Suarez, École polytechnique fédérale de Lausanne, Switzerland
- Vignesh Kannan, École Polytechnique, Palaiseau, France
- Peter Kroll, University of Texas at Arlington, USA
- Jian Luo, University of California, San Diego, USA
- Yixiu Luo, Institute of Metal Research, Chinese Academy of Sciences, China
- Sergei Manzhos, Tokyo Institute of Technology, Japan
- Bin Liu, Shanghai University, China
- Katsuyuki Matsunaga, Nagoya University, Japan
- Paul Rulis, University of Missouri-Kansas City, USA
Point of Contact
- Jingyang Wang: jywang@imr.ac.cn
- Gerard L. Vignoles: vinhola@lcts.u-bordeaux.fr
- Ghatu Subhash: subhash@ufl.edu
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