How machine learning can help select capping layers to suppress perovskite degradation
Environmental stability of perovskite solar cells (PSCs) has been improved by trial-and-error exploration of thin low-dimensional (LD) perovskite deposited on top of the perovskite absorber, called the capping layer. In this study, a machine-learning framework is presented to optimize this layer. We...
Main Authors: | Hartono, Noor Titan Putri, Thapa, Janak, Tiihonen, Armi, Oviedo, Felipe, Batali, Clio, Yoo, Jason J.(Jason Jungwan), Liu, Zhe, Li, Ruipeng, Marrón, David Fuertes, Bawendi, Moungi G, Buonassisi, Tonio, Sun, Shijing |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC
2021
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Online Access: | https://hdl.handle.net/1721.1/129799 |
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