About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Theory and Design of Metallic Glasses
|
| Presentation Title |
Intermittent Dynamics and Local Mobility in Metallic Supercooled Liquids: Insights From Electron Correlation Microscopy |
| Author(s) |
Po-Cheng Kung, Ajay Annamareddy, Dane Morgan, Paul Voyles |
| On-Site Speaker (Planned) |
Po-Cheng Kung |
| Abstract Scope |
To better understand and control mobility in glasses and supercooled liquids, it is necessary to develop a predictive theory linking mobility to motion-enabling features. However, such a predictive theory is challenging due to the structural disorder and cooperative dynamics in these materials. We have developed an improved two-time correlation function (TTCF) for nanobeam diffraction-based electron correlation microscopy (ECM) data, which reveals time-resolved local dynamics and enables characterization of individual mobility events. ECM TTCF data from Pd- and Pt-based metallic supercooled liquids provide spatially- and temporally-resolved maps of nanoscale mobility domains. Simulate ECM experiments from molecular dynamics (MD) trajectories of supercooled liquids show similar spatial/temporal patterns of mobility events, which are correlated with structural features extracted from MD trajectories via machine learning, identifying atomic-scale predictors of mobility. This integrated approach connects atomic-scale simulations and nanoscale experiments, offering new insights into the structural origins of dynamics in disordered materials. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Modeling and Simulation, Machine Learning |