Fracture Properties of Graphene-Coated Silicon for Photovoltaics
- verfasst von
- Brahmanandam Javvaji, Pattabhi Ramaiah Budarapu, Marco Paggi, Xiaoying Zhuang, Timon Rabczuk
- Abstract
The possibility of replacing the conductive gridline deposited on solar cells by highly electrically conductive graphene is opening new perspectives for the future generation of photovoltaics. Besides enhanced electric performance, graphene can also have a role in the resistance of silicon against cracking. Here, the influence of depositing graphene on the silicon surface, on the fracture properties of silicon, is investigated. To pin-point the influence of graphene, fracture properties estimated from molecular dynamics simulations of three different cases in uniaxial tension are compared. In the first case, the fracture properties of silicon alone are estimated in relation to different initial defect sizes. Second, the same simulations are repeated by depositing graphene on the silicon surface. Atomic interactions in the composite structure are modeled using the combined adaptive inter-molecular reactive empirical bond order (AIREBO) and Tersoff potential functions. Improvement of about 780% in the Young's modulus of silicon is achieved after coating with graphene. Furthermore, to study the influence of realistic initial defects in graphene, a third set of simulations is considered by repeating the previous tests but with initial cracks through graphene and silicon. Predictions show that graphene can be highly beneficial in strengthening and repairing micro-cracked silicon to decrease electrical power losses caused by cracks.
- Organisationseinheit(en)
-
Institut für Kontinuumsmechanik
- Externe Organisation(en)
-
Indian Institute of Technology Bhubaneswar (IITBBS)
IMT School for Advanced Studies Lucca
Bauhaus-Universität Weimar
- Typ
- Artikel
- Journal
- Advanced Theory and Simulations
- Band
- 1
- Publikationsdatum
- 04.12.2018
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Allgemein, Modellierung und Simulation, Numerische Mathematik, Statistik und Wahrscheinlichkeit
- Ziele für nachhaltige Entwicklung
- SDG 7 – Erschwingliche und saubere Energie
- Elektronische Version(en)
-
https://doi.org/10.1002/adts.201800097 (Zugang:
Geschlossen)
