This is a dataset related to the publication "Device-scale atomistic modelling of phase-change memory materials". Two folders have been provided for (1) the production data shown in this work, and (2) GAP models trained in this work: (1) The production data have been categorised according to the main text figures: "reference_database": Reference databases (i.e., training structures) of three GAP models discussed in this work. The structure data are provided in (extended) XYZ format, as labelled using either the PBEsol or the PBE functional. "main_GST-GAP-22_PBEsol": the main GST-GAP-22 database, which was fitted using a two-step iterative training protocol. The resulting GAP model was used to obtain the results shown in the main t...
The phase-change material, Ge2Sb2Te5, is the canonical material ingredient for next-generation stora...
Artificial intelligence (AI) has become a key enabler in many applications but requires fast and ene...
The phase-change material, Ge2Sb2Te5, is the canonical material ingredient for next-generation stora...
This data set contains: 1. Trajectories of glass and liquid Ge2Sb2Te5 models generated with the GAP...
Quantum-accurate computer simulations play a central role in understanding phase-change materials (P...
Phase change memories (PCM) exploit the variation of resistance of a small volume of phase change ma...
Id: Data of following publication title = "A Thermo-Mechanical, Viscoelasto-Plastic Model for Semi-...
I simulate phase change including stochastic nucleation and growth of discrete grains with a finite ...
Data and Model For "Understanding the limits to Short-range order Suppression in Many-Component Diso...
Dataset contains atomic configurations discussed in the paper and post-processed raw data of the str...
For a variety of materials, atomic-scale modeling techniques are commonly employed as a means of inv...
Copyright © 2008 American Institute of Physics. This article may be downloaded for personal use only...
Supplementary files for article: Machine learning force fields based on local parametrization of dis...
This dataset has been created by TU WIEN and belongs to Work Package 2 about Simulations for LBW and...
GAP model parameter files to accompany the publication "Combining phonon accuracy with high transfe...
The phase-change material, Ge2Sb2Te5, is the canonical material ingredient for next-generation stora...
Artificial intelligence (AI) has become a key enabler in many applications but requires fast and ene...
The phase-change material, Ge2Sb2Te5, is the canonical material ingredient for next-generation stora...
This data set contains: 1. Trajectories of glass and liquid Ge2Sb2Te5 models generated with the GAP...
Quantum-accurate computer simulations play a central role in understanding phase-change materials (P...
Phase change memories (PCM) exploit the variation of resistance of a small volume of phase change ma...
Id: Data of following publication title = "A Thermo-Mechanical, Viscoelasto-Plastic Model for Semi-...
I simulate phase change including stochastic nucleation and growth of discrete grains with a finite ...
Data and Model For "Understanding the limits to Short-range order Suppression in Many-Component Diso...
Dataset contains atomic configurations discussed in the paper and post-processed raw data of the str...
For a variety of materials, atomic-scale modeling techniques are commonly employed as a means of inv...
Copyright © 2008 American Institute of Physics. This article may be downloaded for personal use only...
Supplementary files for article: Machine learning force fields based on local parametrization of dis...
This dataset has been created by TU WIEN and belongs to Work Package 2 about Simulations for LBW and...
GAP model parameter files to accompany the publication "Combining phonon accuracy with high transfe...
The phase-change material, Ge2Sb2Te5, is the canonical material ingredient for next-generation stora...
Artificial intelligence (AI) has become a key enabler in many applications but requires fast and ene...
The phase-change material, Ge2Sb2Te5, is the canonical material ingredient for next-generation stora...