2022 MRS Fall Meeting
Symposium SF08-Advanced Ceramics and Glasses—From Advanced Manufacturing to Data-Driven Methods for Synthesis and Mechanical Characterization
Advanced ceramics and glasses are ubiquitous at multiple scales in various modern applications: in virtual reality headsets, implantable biomedical devices, all-solid-state batteries, etc. The long-term structural reliability of these materials is a key issue determining device performance in these applications. Thus, identifying correlations between the processing and manufacturing methods and mechanical properties is essential. Ultimately, process-microstructure-properties relationships would help further push the limits of glasses and ceramics performance. Recent trends in ceramics and glass research tackle new processes for densification and microstructure control, extreme mechanical properties characterization, and data-driven approaches to interlink process, properties, and characterization.
This interdisciplinary symposium will feature the recent process in the field with experimental, computational, and data-driven experts from academia, national labs and industry. Altogether, we will discuss recent developments in processing, manufacturing and mechanical characterization for the next generation of glasses and ceramics and identify opportunities and challenges.
Topics will include:
- Ceramics and Glasses
- Advanced processing
- Mechanical properties
- Computation using machine learning and artificial intelligence
- Microstructure control
Invited Speakers:
- Hao Bai (Zhejiang University, China)
- Markus J. Buehler (Massachusetts Institute of Technology, USA)
- Jérôme Chevalier (Institut National des Sciences Appliquées, France)
- Zehui Du (Nanyang Technological University, Singapore)
- Diletta Giuntini (Eindhoven University of Technology, Netherlands)
- Amanda Krause (Virginia Tech, USA)
- Jun Lou (Rice University, USA)
- Carlos Portela (Massachusetts Institute of Technology, USA)
- Eduardo Saiz (Imperial College London, United Kingdom)
Symposium Organizers
Christos Athanasiou
Brown University
School of Engineering
USA
Florian Bouville
Imperial College London
Centre for Advanced Structural Ceramics
United Kingdom
Hortense Le Ferrand
Nanyang Technological University
Singapore
Izabela Szlufarska
University of Wisconsin–Madison
College of Engineering
USA
Topics
artificial intelligence
ceramic
fracture
glass
machine learning
strength
toughness