1. A neural network interatomic potential for the phase change material GeTe
- Author
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Sosso, Gabriele C., Miceli, Giacomo, Caravati, Sebastiano, Behler, Jörg, and Bernasconi, Marco
- Subjects
Condensed Matter - Materials Science ,Condensed Matter - Disordered Systems and Neural Networks - Abstract
GeTe is a prototypical phase change material of high interest for applications in optical and electronic non-volatile memories. We present an interatomic potential for the bulk phases of GeTe, which is created using a neural network (NN) representation of the potential-energy surface obtained from reference calculations based on density functional theory. It is demonstrated that the NN potential provides a close to ab initio quality description of a number of properties of liquid, crystalline and amorphous GeTe. The availability of a reliable classical potential allows addressing a number of issues of interest for the technological applications of phase change materials, which are presently beyond the capability of first principles molecular dynamics simulations., Comment: 12 pages, 17 figures
- Published
- 2012
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