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Document type:
Konferenzbeitrag
Contribution type:
Poster
Author(s):
Singh, A.; Gagliardi, A.
Title:
Drift-diffusion and Machine Learning for High Efficiency Perovskite-Perovskite based Tandem Solar Cells
Abstract:
Halide organic-inorganic perovskites (HOPs) offer a wide range of bandgaps and low-cost fabrication making them an ideal candidate for tandem solar cells. Perovskite-perovskite based tandem solar cells have exceeded efficiencies of 23% [1] for the four-terminal (4T) and of 18% [2,3] for the two-terminal configuration. The maximum theoretical efficiency limit for the two cell tandem structure is about 42% [4].
Editor:
Kamat, P.; De Angelis, F.; Di Carlo, A.
Book / Congress title:
Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV19), Poster 027
Congress (additional information):
Rome, Italy, 12-15 May 2019-05
Publisher:
nanoGe
Year:
2019
Quarter:
1. Quartal
Year / month:
2019-02
Month:
Feb
Language:
en
WWW:
https://www.nanoge.org/proceedings/HOPV19/5c35fb65c551940ccd2f4349
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