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Title: Advanced interface modelling of n-Si/HNO3 doped graphene solar cells to identify pathways to high efficiency

Authors:
; ; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1549497
Grant/Contract Number:  
EEOOO6335
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Applied Surface Science
Additional Journal Information:
Journal Name: Applied Surface Science Journal Volume: 434 Journal Issue: C; Journal ID: ISSN 0169-4332
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English

Citation Formats

Zhao, Jing, Ma, Fa-Jun, Ding, Ke, Zhang, Hao, Jie, Jiansheng, Ho-Baillie, Anita, and Bremner, Stephen P. Advanced interface modelling of n-Si/HNO3 doped graphene solar cells to identify pathways to high efficiency. Netherlands: N. p., 2018. Web. doi:10.1016/j.apsusc.2017.10.163.
Zhao, Jing, Ma, Fa-Jun, Ding, Ke, Zhang, Hao, Jie, Jiansheng, Ho-Baillie, Anita, & Bremner, Stephen P. Advanced interface modelling of n-Si/HNO3 doped graphene solar cells to identify pathways to high efficiency. Netherlands. doi:10.1016/j.apsusc.2017.10.163.
Zhao, Jing, Ma, Fa-Jun, Ding, Ke, Zhang, Hao, Jie, Jiansheng, Ho-Baillie, Anita, and Bremner, Stephen P. Thu . "Advanced interface modelling of n-Si/HNO3 doped graphene solar cells to identify pathways to high efficiency". Netherlands. doi:10.1016/j.apsusc.2017.10.163.
@article{osti_1549497,
title = {Advanced interface modelling of n-Si/HNO3 doped graphene solar cells to identify pathways to high efficiency},
author = {Zhao, Jing and Ma, Fa-Jun and Ding, Ke and Zhang, Hao and Jie, Jiansheng and Ho-Baillie, Anita and Bremner, Stephen P.},
abstractNote = {},
doi = {10.1016/j.apsusc.2017.10.163},
journal = {Applied Surface Science},
number = C,
volume = 434,
place = {Netherlands},
year = {2018},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.apsusc.2017.10.163

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Cited by: 3 works
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