Understanding defects in amorphous silicon with million-atom simulations and machine learning

The structure of amorphous silicon is widely thought of as a fourfold-connected random network, and yet it is defective atoms, with fewer or more than four bonds, that make it particularly interesting. Despite many attempts to explain such "dangling-bond" and "floating-bond" defe...

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Veröffentlicht in:	arXiv.org 2023-08
Hauptverfasser:	Morrow, Joe D, Ugwumadu, Chinonso, Drabold, David A, Elliott, Stephen R, Goodwin, Andrew L, Deringer, Volker L
Format:	Artikel
Sprache:	eng
Schlagworte:	Amorphous silicon Defects Machine learning Photovoltaic cells Silicon Structural models
Online-Zugang:	Volltext
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