| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Ceramics and Glasses Simulations and Machine Learning
|
| Presentation Title |
Beyond the Average: Fluctuations in Glass-forming Systems |
| Author(s) |
Katelyn A. Kirchner, John C. Mauro |
| On-Site Speaker (Planned) |
Katelyn A. Kirchner |
| Abstract Scope |
The macroscopic properties of any material system are dictated by atomic structure. Within disordered structures, such as glass, long-range atomic arrangement is impossible to precisely predict; however, statistical mechanical modeling can be used to quantify the presence of topological fluctuations within these disordered structures to predict the performance of glass-forming systems. This work presents a general modeling approach to describe structural and topological fluctuations by linking statistical mechanics and topological constraint theory. The model is then used to explore how fluctuations within glass-forming systems impact the distribution of glass structural units, the ability of atoms to self-organize in adaptable network topologies, the thermodynamic properties of the system, heat capacity, and a glass-forming system’s ability to nucleate crystals. |