Optical neural networks based on perovskite solar cells
We are excited to announce the publication of our latest research, which introduces a novel approach to Optical Neural Networks (ONNs)—computing platforms that utilize light to perform ultra-fast, energy-efficient computations. Traditionally, ONNs rely on CCD cameras to capture output signals, but our study explores a promising alternative: perovskite solar cells. Our findings demonstrate that solar-cell-based ONNs not only match but outperform CCD-based systems of the same resolution. Thanks to their large acquisition area, high efficiency, and ability to generate signals without amplification, perovskite solar cells present a scalable, cost-effective solution for ONN output detection. This breakthrough paves the way for automated, battery-free edge-computing applications, offering… Read More »Optical neural networks based on perovskite solar cells