Coupled Process/Device Modeling and Point Defect Engineering of Cu(In,Ga)Se<sub>2</sub> Solar Cells-Reference-Cited by-同舟云学术

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Coupled Process/Device Modeling and Point Defect Engineering of Cu(In,Ga)Se₂ Solar Cells

Published:2024-05 Issue:3 Volume:14 Page:422-432
ISSN:2156-3381
Container-title:IEEE Journal of Photovoltaics
language:
Short-container-title:IEEE J. Photovoltaics

Author:

Xiang Xiaofeng¹^ORCID,Sommer David E.²^ORCID,Gehrke Aaron³^ORCID,Dunham Scott T.²^ORCID

Affiliation:

1. Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA

2. Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA

3. Department of Materials Science and Engineering, University of Washington, Seattle, WA, USA

Funder

U. S. Department of Energy's Office of Energy Efficiency and Renewable Energy

Solar Energy Technology Office

Clean Energy Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/5503869/10506739/10460087-aam.pdf

Reference60 articles.

1. Review of progress toward 20% efficiency flexible CIGS solar cells and manufacturing issues of solar modules

2. Defects in Na-, K-, and Cd-Doped CuInSe$_2$ : Canonical Thermodynamics Based on Ab Initio Calculations

3. Calculation of Defect Concentrations and Phase Stability in Cu$_2$ ZnSnS$_4$ and Cu$_2$ ZnSnSe$_4$ From Stoichiometry

4. From ultrasoft pseudopotentials to the projector augmented-wave method

5. Hybrid functionals based on a screened Coulomb potential

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Point defects in CdTe and CdTeSe alloy: A first principles investigation with DFT+U;Physical Review Materials;2024-08-28

2. Exploration of Deep Learning Models for Accelerated Defect Property Predictions and Device Design of Cubic Semiconductor Crystals;The Journal of Physical Chemistry C;2024-05-16

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