About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Microstructure-Sensitive Modeling Across Length Scales: An MPMD/SMD Symposium in Honor of David L. McDowell
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| Presentation Title |
Data-Driven Approaches to Dislocation Mobility |
| Author(s) |
Hojun Lim, Nicole Aragon, David Montes de Oca Zapiain, Eric Rothchild, Ill Ryu |
| On-Site Speaker (Planned) |
Hojun Lim |
| Abstract Scope |
Dislocation mobility is significantly affected by applied stress and temperature, particularly in body-centered cubic (BCC) metals. Accurately characterization of dislocation mobility is critical, as it governs fundamental aspects of plastic deformation. In this work, we employ molecular dynam-ics (MD) simulations combined with the genetic programming symbolic regression technique to establish a phenomenological dislocation mobility law for tantalum. The proposed model captures the behavior of both edge and screw dislocations across a range of temperatures, stress levels and slip systems, and is designed for seamless integration into mesoscale dislocation dynamics simula-tions. We validate the predictive capability of the mobility law by comparing dislocation dynamics simulation results with experimental observations. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
ICME, Machine Learning, Modeling and Simulation |