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Self-powered skin optoelectronics fabricated on ultrathin polymer films is emerging as one of the most promising components for the next-generation Internet of Things (IoT) technology. However, a longstanding challenge is the device underperformance owing to the low process temperature of polymer substrates. In addition, broadband electroluminescence (EL) based on organic or polymer semiconductors inevitably suffers from periodic spectral distortion due to Fabry-Perot (FP) interference upon substrate bending, preventing advanced applications. Here, ultraflexible skin optoelectronics integrating high-performance solar cells and monochromatic light-emitting diodes using solution-processed perovskite semiconductors is presented. n-i-p perovskite solar cells and perovskite nanocrystal light-emitting diodes (PNC-LEDs), with power-conversion and current efficiencies of 18.2% and 15.2 cd A-1, respectively, are demonstrated on ultrathin polymer substrates with high thermal stability, which is a record-high efficiency for ultraflexible perovskite solar cell. The narrowband EL with a full width at half-maximum of 23 nm successfully eliminates FP interference, yielding bending-insensitive spectra even under 50% of mechanical compression. Photo-plethysmography using the skin optoelectronic device demonstrates a signal selectivity of 98.2% at 87 bpm pulse. The results presented here pave the way to inexpensive and high-performance ultrathin optoelectronics for self-powered applications such as wearable displays and indoor IoT sensors.|Ultraflexible self-powered perovskite sensors are developed by integrating high-performance solar cells and monochromatic light-emitting diodes (LEDs). These ultraflexible perovskite solar cell modules power ultraflexible perovskite nanocrystal LEDs (PNC-LEDs) even with the indoor light, with excellent power-conversion and current efficiencies of 18.2% and 15.2 cd A-1, respectively. The narrowband electroluminescence (EL) of PNC-LED eliminates Fabry-Perot (FP) interference, resulting selective photo-plethysmography with a signal selectivity of 98.2%.image
Christian Michael Wolff, Tor Jesper Jacobsson
Shaik Mohammed Zakeeruddin, Haizhou Lu, Jie Chen, Xiaoyan Wang, Di Zhang, Ziyun Wang, Meng Li, Xingyu Gao