SYMPOSIUM 1: Fundamentals of the Glassy State
In-depth exchanges and discussions on fundamental principles of glass science will be explored in this forum. Contributions covering experimental and theoretical developments in the field of glass science are welcome. Topics of interest include novel developments in the following sessions.
Session 1: Glass formation and relaxation
This session will address all aspects of glass formation, including experimental, modeling, and theoretical development in our understanding of the glass transition and relaxation. All glass systems, including oxides, metallic glasses, organic glasses, and chalcogenides, will be covered.
Topics of interest include, but are not limited to
- Structural relaxation
- Viscous flow and fragility
- Dynamic processes in the glass transition range
- Dynamic heterogeneities
- Glass-forming ability
- Landscape approach
Ozgur Gulbiten, Corning Incorporated
Xiaoju Guo, Corning Incorporated
Session 2: Topology and rigidity
Since their introduction, topological constraint theory and rigidity concepts have resulted in many breakthroughs in our understanding of the composition dependence of glass properties and, thereby, have enabled the nanoengineering of high-performance glasses. This session will focus on recent advances in topological modeling and cover experimental, computational, and theoretical studies.
- Bauchy, University of California Los Angeles
- Smedskjaer, Aalborg University, Denmark
Session 3: Glass, entropy, and the glass transition
Divergence of timescales, the glass transition, the role of configurational entropy, and the extrapolations to absolute zero remain issues of fundamental curiosity, and their understanding also begins to have impact in concrete applications of glass. Interestingly, very similar approaches are taken in fields as different as melt-derived glasses, glass transitions in paramagnetic and superparamagnetic materials, or collapsing zeolites. It is anticipated that the bridging consideration of experimental and computer-generated glass transitions may provide a new perspective at some of the application-related problems of glass science, subject to the present session.
- Divergence from super-Arrhenian viscosity–temperature dependence
- Slow relaxation and transport reactions in glasses
- Arrhenian reaction kinetics
- Relations between diffusion effects, ionic conductivity, and long-term relaxation
- Structural origin of melt viscosity
- Superparamagnetic blocking
- Zeolite collapse
- Low-temperature studies
Lothar Wondraczek, Otto Schott Institute of Materials Research (OSIM), University of Jena, Germany
Session 4: Mechanical properties of amorphous solids
This session will cover the recent progress in understanding the mechanical properties of amorphous solids, including but not limited to oxide glasses, chalcogenide glasses, metallic glasses, and soft glassy materials. The deformation, wear, and fracture mechanisms under various testing conditions―such as tension, compression, indentation, and scratch―and across various time and spatial scales will be included. The similarity and distinctions between various glassy systems will be solicited. Experimental and computational studies will be included.
Jian Luo, Corning Incorporated
Yunfeng Shi, Rensselaer Polytechnic Institute
Session 5: Glass under extreme conditions
This session will cover the recent progress in understanding structure and properties of glass under extreme conditions, such as high pressure, high stress, high temperature, high radiation, and highly reactive conditions, in designing glass for these applications and in utilizing such conditions to synthesize glass with superior properties. Experimental and computational studies will be included.
Liping Huang, Rensselaer Polytechnic Institute
Benoit Rufflé, Université Montpellier II, France
Morten Mattrup Smedskjær, Aalborg University, Denmark
Yann Vaills, University of Orléans, France
Session 6: Novel Modeling of amorphous materials
There have been new approaches to more realistically model glasses and amorphous materials.
- Machine learning to obtain efficient and accurate interatomic potentials
- Methods to include experimental information in the process of computer modeling
- Methods to computationally design materials with preferred structural, optical, or electronic properties
- Methods to efficiently explore configuration space
David Drabold, Ohio University