|About this Abstract
||Materials Science & Technology 2020
||Ceramics and Glasses Simulations and Machine Learning
||Beyond the Average: Fluctuations in Glass-forming Systems
||Katelyn A. Kirchner, John C. Mauro
|On-Site Speaker (Planned)
||Katelyn A. Kirchner
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.