
Trained models and datasets related to our publication "Quantifying Perovskite Solar Cell Degradation via Machine Learning from Spatially Resolved Multimodal Luminescence Time Series" and its GitHub repository
Machine Learning, Photovoltaics, Artificial Intelligence, Luminescence Imaging, Perovskite, Degradation Diagnostics
Machine Learning, Photovoltaics, Artificial Intelligence, Luminescence Imaging, Perovskite, Degradation Diagnostics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
