| Scope |
This symposium invites contributions on the application of machine learning (ML) within Integrated Computational Materials Engineering (ICME) frameworks for the discovery, development, and deployment of ceramic and glass materials. ML is a powerful tool to accelerate ceramics innovation, uncover processing-structure-property relationships, and optimize materials performance. The symposium will explore the connection between data-driven insights and physics-based understanding, ML-based guidance of experiments, and experimental validation of modeling and simulation. We welcome submissions covering a variety of ceramic and glass materials, including but not limited to:
* Structural ceramics
* Functional ceramics
* Glass and glass-ceramics
* Ceramic composites
* Bioceramics and bioactive glasses
* Optical and photonic ceramics and glasses
* Amorphous ceramics |