An Artificial-Intelligence-Assisted Investigation on the Potential of Black Silicon Nanotextures for Silicon Solar Cells-Reference-Cited by-同舟云学术

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An Artificial-Intelligence-Assisted Investigation on the Potential of Black Silicon Nanotextures for Silicon Solar Cells

Published:2022-08-15 Issue:8 Volume:5 Page:11636-11647
ISSN:2574-0970
Container-title:ACS Applied Nano Materials
language:en
Short-container-title:ACS Appl. Nano Mater.

Author:

Wang Shaozhou¹^ORCID,Xie Tong¹,Liang Ran²,Zhang Yu¹^ORCID,Ma Fa-Jun¹,Payne David³,Scardera Giuseppe¹,Hoex Bram¹^ORCID

Affiliation:

1. School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, Sydney, NSW 2052, Australia

2. School of Computing and Information Systems, University of Melbourne, Melbourne, VIC 3010, Australia

3. School of Engineering, Macquarie University, Sydney, NSW 2109, Australia

Funder

Australian Government

Australian Renewable Energy Agency

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsanm.2c02619

Reference92 articles.

1. Comparative study of different approaches of multicrystalline silicon texturing for solar cell fabrication

2. Texturing of large area multi-crystalline silicon wafers through different chemical approaches for solar cell fabrication

3. Comparison of diamond wire cut and silicon carbide slurry processed silicon wafer surfaces after acidic texturisation

4. Texturing of SiC-slurry and diamond wire sawn silicon wafers by HF–HNO3–H2SO4 mixtures

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3. Process and optical modeling of black silicon;Optics Express;2024-04-30

4. Anti‐Reflective Graded‐Index Metasurface with Correlated Disorder for Light Management in Planar Silicon Solar Cells;Advanced Optical Materials;2024-03-27

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