About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Thermodynamics and Kinetics
|
| Presentation Title |
Large-Scale Materials Modeling Using DFT-FE |
| Author(s) |
Sambit Das |
| On-Site Speaker (Planned) |
Sambit Das |
| Abstract Scope |
I will present a massively parallel real-space DFT framework (DFT-FE), which is based on higher-order adaptive spectral finite-elements. I will discuss the efficient and scalable numerical algorithms in conjunction with HPC centric implementation strategies for the solution of Kohn-Sham equations, that has enabled computationally efficient, fast and accurate DFT calculations on generic material systems reaching ~200,000 electrons. Finally, I will discuss two recent large-scale applications of DFT-FE. First is on icosahedral ScZn7.33 and YbCd5.7 quasicrystals, where we successfully computed for the first time their surface and bulk energies. Convex hull stability analysis reveals them to be ground-state phases, and size-dependent convex hull stability analysis further reveals competitive influence of surface and bulk energies with implications towards their nucleation. The second application is on investigating the core-energetics of pyramidal dislocations in magnesium in presence of dilute solute alloying, that has provided crucial insights towards predictive modelling of ductility in magnesium. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Modeling and Simulation, Magnesium, Computational Materials Science & Engineering |