Machine-Learning-Assisted Enhancement of Perovskite Stability and Photovoltaic Performance
- Univ. of Washington, Seattle, WA (United States)
Lab scale perovskite solar cells (PSCs) have reached power conversion efficiencies on par with silicon solar cells. Their potential for low-cost manufacturing combined with high performance make them attractive for commercialization. The major challenge impeding widespread development of PSCs is their stability. Halide perovskites are vulnerable to decomposition in the presence of moisture, oxygen, light, and heat. Furthermore, the chemical differences between halide perovskites and conventional semiconductors used in photovoltaics (e.g., silicon, chalcogenides, and III-V compounds) may render established accelerated lifetime testing protocols inaccurate.
- Research Organization:
- Univ. of Washington, Seattle, WA (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- DOE Contract Number:
- EE0008563
- OSTI ID:
- 1885163
- Report Number(s):
- UW-8563-FTR
- Country of Publication:
- United States
- Language:
- English
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