GPU-Enhanced Density Functional Tight Binding for Probing Multi-Component Alloys

Abstract

DFT has been extensively employed in the search for stable thermodynamic compounds which is crucial for the design and synthesis of novel functional materials and the understanding of the behavior of materials under different conditions. In first-principles calculations, thermodynamically stable phases of materials are predicted by constructing a convex hull with respect to formation energy of the compounds. This work emphasizes an alternative approach to DFT wherein the computational efficiency of DFTB is harnessed to predict the convex hull of binary compounds.

Date
Apr 11, 2019 10:30 AM — 11:00 AM
Event
Department of Energy Review Meeting of Crosscutting Technologies
Location
Department of Energy Review Meeting
530 William Penn Place, Pittsburgh, PA

You can find the slides for this talk by clicking here.

Anshuman Kumar
Anshuman Kumar
Postdoctoral Scholar, SME

My research interests include machine learning, data science, computer vision, and computational sciences.